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Wednesday, 07/30/2025 3:45 PM 
 RecordStarterOpenLatest
 Gm#W-LPitcherMLO/UMLO/URL
 PIT Pittsburgh95346-62BURROWS(R)+1907.5o-05+1827ev+1.5, -120
 SF San Francisco95454-54WEBB(R)-2107.5u-15-1957u-20-1.5, +100

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Tip SheetSimulation & Ratings🔒Betting Systems🔒Team Trends🔒Team StatsStarting PitchersLineupsBullpensSchedule & ResultsManagers🔒Umpire🔒Head-to-Head🔒

MLB Tip Sheet

Your one-stop tip sheet for all the key information you need: top systems, team, pitcher, and manager trends, expert simulations with value-based ratings, plus key pitcher, hitting, and bullpen stats, lineups, injuries, and more. Click the matchup content menu links above to dig deeper!

Team Betting Records

This table provides detailed betting performance statistics for the selected team across various bet types, including the money line, run line, over/under totals, and 2.5-run lines. It highlights key metrics like wins and losses, net unit profits or losses, and results under specific game conditions such as home, away, playoff, and interleague matchups. Bettors can quickly assess profitability across multiple betting markets and situations for the selected season.

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 Pittsburgh 2025 Game Betting Records
  Money Line Run Line Over/Under 2.5 Run Line Alt 1.5 RL Team Total
Game Condition W-L Unit$ W-L Unit$ Ov-Un-T Ov$ Un$ W-L Unit$ W-L Unit$ Ov-Un Ov$ Un$
All Games 47-62 -9.2 58-51 +0.6 42-64-3 -28.7 +18.6 57-52 -13.7 43-66 -13.6 40-69 -40.0 +24.1
Regular Season Games 47-62 -9.2 58-51 +0.6 42-64-3 -28.7 +18.6 57-52 -13.7 43-66 -13.6 40-69 -40.0 +24.1
Away Games 16-37 -14.6 25-28 -9.1 18-33-2 -18.3 +13.7 27-26 -17.5 17-36 -7.8 15-38 -30.7 +22.3
Regular Season Away Games 16-37 -14.6 25-28 -9.1 18-33-2 -18.3 +13.7 27-26 -17.5 17-36 -7.8 15-38 -30.7 +22.3
League Games 11-24 -7.8 15-20 -8.9 12-21-2 -10.7 +8.3 18-17 -9.8 12-23 -2.1 12-23 -15.5 +9.9
vs. Right-Handed Starters 38-48 -5.9 45-41 -0.6 32-53-1 -26.4 +18.5 45-41 -7.7 36-50 -6.8 31-55 -33.2 +20.5
Day games 20-25 -4.0 23-22 -0.4 16-29-0 -16.1 +12.1 22-23 -5.6 19-26 -7.2 15-30 -20.5 +13.8
Over the last month 11-12 -0.4 15-8 +6.0 6-17-0 -13.1 +10.5 15-8 +5.0 9-14 -3.6 6-17 -14.8 +11.1
Over the last week 5-1 +5.4 6-0 +6.4 1-5-0 -4.5 +4.0 6-0 +7.2 3-3 +2.3 2-4 -2.6 +1.9

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 San Francisco 2025 Game Betting Records
  Money Line Run Line Over/Under 2.5 Run Line Alt 1.5 RL Team Total
Game Condition W-L Unit$ W-L Unit$ Ov-Un-T Ov$ Un$ W-L Unit$ W-L Unit$ Ov-Un Ov$ Un$
All Games 54-55 -16.4 46-63 -19.4 49-56-4 -12.0 +1.7 44-65 -28.2 61-48 -13.2 50-59 -17.5 +1.9
Regular Season Games 54-55 -16.4 46-63 -19.4 49-56-4 -12.0 +1.7 44-65 -28.2 61-48 -13.2 50-59 -17.5 +1.9
Home Games 28-26 -10.9 19-35 -14.8 21-32-1 -13.8 +8.7 16-38 -19.8 33-21 -8.0 21-33 -17.6 +9.6
Regular Season Home Games 28-26 -10.9 19-35 -14.8 21-32-1 -13.8 +8.7 16-38 -19.8 33-21 -8.0 21-33 -17.6 +9.6
League Games 17-14 +2.2 17-14 +0.1 19-11-1 +7.3 -10.0 18-13 +1.4 18-13 +6.1 20-11 +8.8 -12.6
vs. Right-Handed Starters 44-36 -1.9 35-45 -11.4 35-42-3 -10.9 +3.3 33-47 -16.5 48-32 -0.3 39-41 -8.6 -3.9
Day games 23-24 -6.7 18-29 -13.2 23-21-3 +0.4 -4.8 20-27 -9.8 26-21 -3.4 22-25 -5.9 0.0
Over the last month 9-16 -10.0 9-16 -9.8 12-11-2 -0.3 -2.2 10-15 -14.6 11-14 -6.7 10-15 -6.9 +3.3
Over the last week 0-6 -8.8 1-5 -4.7 2-3-1 -1.4 +0.7 1-5 -4.0 3-3 -3.4 1-5 -4.7 +4.0

Team Season Hitting Statistics

Explore detailed baseball team hitting statistics for the selected season, including batting averages, home runs, RBIs, on-base percentages, and more key metrics.

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 Pittsburgh 2025 Hitting Statistics
Game Condition G PA AB R H 2B 3B HR RBI BB HBP SO SB CS SH SF GIDP LOB AVG OBP SLG OPS
All Games 109 4017 3612 369 833 151 16 72 357 339 34 951 86 26 9 23 83 757 0.231 0.301 0.341 0.642
Regular Season Games 109 4017 3612 369 833 151 16 72 357 339 34 951 86 26 9 23 83 757 0.231 0.301 0.341 0.642
Away Games 53 1956 1779 153 376 56 5 39 149 157 12 495 47 12 3 5 36 359 0.211 0.279 0.314 0.593
Regular Season Away Games 53 1956 1779 153 376 56 5 39 149 157 12 495 47 12 3 5 36 359 0.211 0.279 0.314 0.593
League Games 35 1299 1170 104 240 39 4 26 101 116 9 333 35 7 2 2 26 239 0.205 0.281 0.312 0.593
vs. Right-Handed Starters 86 3173 2852 287 661 119 14 53 276 266 29 753 76 19 7 19 69 600 0.232 0.302 0.339 0.641
Day games 45 1664 1483 145 328 55 9 24 140 150 12 411 49 13 5 14 32 318 0.221 0.295 0.319 0.614
Over the last month 23 827 760 65 163 35 2 11 63 59 4 203 12 4 1 3 8 156 0.214 0.274 0.309 0.583
Over the last week 6 230 205 19 44 8 1 4 19 20 4 49 2 0 1 0 4 49 0.215 0.297 0.322 0.619

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 San Francisco 2025 Hitting Statistics
Game Condition G PA AB R H 2B 3B HR RBI BB HBP SO SB CS SH SF GIDP LOB AVG OBP SLG OPS
All Games 109 4068 3591 443 830 166 19 101 423 378 46 921 48 17 21 32 74 734 0.231 0.310 0.372 0.682
Regular Season Games 109 4068 3591 443 830 166 19 101 423 378 46 921 48 17 21 32 74 734 0.231 0.310 0.372 0.682
Home Games 54 1986 1752 200 406 76 10 44 187 186 19 409 20 10 16 13 33 377 0.232 0.310 0.362 0.672
Regular Season Home Games 54 1986 1752 200 406 76 10 44 187 186 19 409 20 10 16 13 33 377 0.232 0.310 0.362 0.672
League Games 31 1203 1065 160 267 54 8 35 156 102 17 285 17 5 4 15 26 200 0.251 0.322 0.415 0.737
vs. Right-Handed Starters 80 3002 2645 339 623 131 16 70 323 279 35 674 36 13 18 25 52 546 0.236 0.314 0.377 0.691
Day games 47 1747 1543 191 338 59 7 54 186 165 18 410 26 5 11 10 29 311 0.219 0.300 0.371 0.671
Over the last month 25 943 847 94 200 45 5 22 93 73 12 218 4 0 3 8 16 174 0.236 0.303 0.379 0.682
Over the last week 6 225 199 12 43 8 1 3 12 21 3 47 2 0 2 0 4 49 0.216 0.300 0.312 0.612

Starting Pitcher Statistics

These tables offer a comprehensive breakdown of a starting pitcher's performance in the current game. The first table details accumulated traditional stats—such as wins, losses, ERA, innings pitched, and other core metrics—across various game conditions. The second table presents advanced sabermetric analyses, including ERA estimates (xERA, ERC, FIP, dERA, DICE, SIERA), along with key ratios and percentages that assess pitching efficiency and quality. Together, these tables provide an in-depth evaluation of both standard and advanced pitching performance metrics under different game scenarios.

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Michael Burrows 2025 Pitching Statistics
Game Situation W L ERA G GS QS QS% CG SHO IP H R ER HR BB IBB HBP SO WP BK WHIP AVGa OBPa SLGa OPSa
All Games 1 3 3.88 13 12 2 16.7% 0 0 58.0 51 26 25 8 21 1 3 60 2 0 1.241 0.232 0.307 0.391 0.698
Regular Season Games 1 3 3.88 13 12 2 16.7% 0 0 58.0 51 26 25 8 21 1 3 60 2 0 1.241 0.232 0.307 0.391 0.698
Away Games 0 1 4.63 6 5 1 20.0% 0 0 23.3 21 13 12 2 11 1 2 25 1 0 1.371 0.231 0.327 0.374 0.701
Regular Season Away Games 0 1 4.63 6 5 1 20.0% 0 0 23.3 21 13 12 2 11 1 2 25 1 0 1.371 0.231 0.327 0.374 0.701
League Games 1 3 3.88 13 12 2 16.7% 0 0 58.0 51 26 25 8 21 1 3 60 2 0 1.241 0.232 0.307 0.391 0.698
Day games 0 1 4.19 5 4 1 25.0% 0 0 19.3 17 9 9 2 6 0 1 22 1 0 1.190 0.233 0.300 0.342 0.642
in Games Started 1 3 4.04 12 12 2 16.7% 0 0 55.7 51 26 25 8 20 1 3 59 2 0 1.275 0.239 0.314 0.404 0.717
Over the Past 3 Seasons 2 3 3.82 14 12 2 16.7% 0 0 61.3 53 28 26 9 24 1 3 62 2 0 1.255 0.229 0.310 0.394 0.704
Over the past 2 months 1 2 3.08 11 10 2 20.0% 0 0 49.7 42 17 17 5 17 1 2 55 2 0 1.188 0.226 0.298 0.349 0.647
Over the last month 0 1 3.47 5 5 2 40.0% 0 0 23.3 17 9 9 1 11 1 1 25 0 0 1.200 0.198 0.296 0.291 0.587

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Logan Webb 2025 Pitching Statistics
Game Situation W L ERA G GS QS QS% CG SHO IP H R ER HR BB IBB HBP SO WP BK WHIP AVGa OBPa SLGa OPSa
All Games 9 8 3.31 23 23 15 65.2% 0 0 141.3 143 56 52 10 34 0 4 155 2 0 1.252 0.264 0.312 0.389 0.701
Regular Season Games 9 8 3.31 23 23 15 65.2% 0 0 141.3 143 56 52 10 34 0 4 155 2 0 1.252 0.264 0.312 0.389 0.701
Home Games 5 2 2.78 12 12 8 66.7% 0 0 74.3 75 26 23 5 16 0 3 84 0 0 1.224 0.260 0.306 0.368 0.674
Regular Season Home Games 5 2 2.78 12 12 8 66.7% 0 0 74.3 75 26 23 5 16 0 3 84 0 0 1.224 0.260 0.306 0.368 0.674
League Games 9 8 3.31 23 23 15 65.2% 0 0 141.3 143 56 52 10 34 0 4 155 2 0 1.252 0.264 0.312 0.389 0.701
Day games 3 2 3.55 8 8 3 37.5% 0 0 45.7 56 21 18 2 14 0 2 52 0 0 1.533 0.301 0.356 0.398 0.754
in Games Started 9 8 3.31 23 23 15 65.2% 0 0 141.3 143 56 52 10 34 0 4 155 2 0 1.252 0.264 0.312 0.389 0.701
Over the Past 3 Seasons 33 31 3.40 89 89 58 65.2% 3 2 562.0 546 222 212 41 115 3 11 521 7 1 1.176 0.256 0.297 0.371 0.668
Over the past 2 months 4 3 3.84 11 11 7 63.6% 0 0 68.0 71 29 29 6 17 0 4 71 1 0 1.294 0.271 0.325 0.420 0.745
Over the last month 2 2 6.18 5 5 1 20.0% 0 0 27.7 37 19 19 3 10 0 3 28 0 0 1.699 0.327 0.397 0.522 0.919

Team Season Bullpen Statistics

Analyze advanced baseball team bullpen relief pitching stats, including ERA, WHIP, save percentages, and more. Gain insights into bullpen performance across all games.

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 Pittsburgh 2025 Bullpen Pitching Statistics
Game Condition G W L ERA WHIP SV BSV SV% IP H R ER HR BB IBB HBP SO WP BK
All Games 109 23 22 3.70 1.201 24 17 58.5% 384.0 322 169 158 35 139 11 22 345 16 1
Regular Season Games 109 23 22 3.70 1.201 24 17 58.5% 384.0 322 169 158 35 139 11 22 345 16 1
Away Games 53 10 16 3.84 1.245 10 12 45.5% 178.3 154 82 76 23 68 4 11 151 7 0
Regular Season Away Games 53 10 16 3.84 1.245 10 12 45.5% 178.3 154 82 76 23 68 4 11 151 7 0
League Games 35 7 10 3.60 1.313 7 11 38.9% 115.0 99 52 46 9 52 4 8 92 3 0
Day games 45 11 10 2.91 1.120 8 8 50.0% 160.7 128 59 52 13 52 10 11 136 5 1
Over the last month 23 5 6 3.66 1.186 7 2 77.8% 86.0 77 36 35 10 25 0 5 85 4 0
Over the last week 6 3 1 0.67 0.778 3 1 75.0% 27.0 15 3 2 0 6 0 2 25 1 0

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 San Francisco 2025 Bullpen Pitching Statistics
Game Condition G W L ERA WHIP SV BSV SV% IP H R ER HR BB IBB HBP SO WP BK
All Games 109 23 18 3.22 1.180 26 13 66.7% 388.0 323 160 139 36 135 10 18 360 13 4
Regular Season Games 109 23 18 3.22 1.180 26 13 66.7% 388.0 323 160 139 36 135 10 18 360 13 4
Home Games 54 16 12 3.24 1.207 14 6 70.0% 203.0 178 82 73 16 67 7 11 177 7 0
Regular Season Home Games 54 16 12 3.24 1.207 14 6 70.0% 203.0 178 82 73 16 67 7 11 177 7 0
League Games 31 6 3 3.36 1.273 7 4 63.6% 112.3 93 51 42 14 50 0 3 107 5 2
Day games 47 12 9 3.50 1.271 14 8 63.6% 174.7 164 77 68 13 58 7 8 164 7 2
Over the last month 25 3 5 4.11 1.281 2 2 50.0% 100.7 99 53 46 14 30 2 2 101 5 1
Over the last week 6 0 4 3.45 1.360 0 1 0.0% 28.7 28 12 11 3 11 1 1 30 1 0

Key Player Injuries

Stay updated with each MLB team's key impact player injury details. Find statuses, injury types, and game effect for a competitive edge in baseball insights.

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 San Francisco Giants
PlayerPosInjuryStatusUpdatedWLSVIPHRERHRBBSOERAWHIP
Erik MillerElbow15-day IL07/30/202541030.02455020221.501.467
Erik Miller (P) of the San Francisco Giants is on the 15-day IL due to an elbow injury; next game is 07/30/2025 vs. Pittsburgh.

Lineup Hitting Stats

This table presents comprehensive hitting statistics for the expected starting lineup of an MLB team, reflecting performance across all games played for the selected season. Key offensive metrics such as batting average (AVG), on-base percentage (OBP), slugging percentage (SLG), and OPS are shown, alongside detailed totals for hits, home runs, runs batted in (RBI), stolen bases, walks, and strikeouts. Statistics are organized according to each player's position in the projected batting order, allowing bettors and fantasy players to quickly evaluate lineup strength and identify potential betting or fantasy opportunities.

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 Pittsburgh Expected Lineup - 2025 All Games Hitting Statistics
Player
B
#
Pos
G PA AB R H 2B 3B HR RBI BB HBP SO SB CS SB% SH SF GIDP AVG OBP SLG OPS
Spencer Horwitz
L
1
1B
58 229 206 23 52 13 0 3 24 21 1 50 0 0 0.0% 0 1 5 0.252 0.323 0.359 0.682
Andrew McCutchen
R
2
DH
95 388 344 34 84 15 0 10 34 39 2 85 1 1 50.0% 0 3 6 0.244 0.322 0.375 0.697
Bryan Reynolds
B
3
RF
102 438 401 40 93 22 2 10 51 31 3 118 3 2 60.0% 0 3 11 0.232 0.290 0.372 0.662
Oneil Cruz
L
4
CF
97 410 351 54 76 15 2 17 44 51 3 130 34 4 89.5% 0 5 5 0.217 0.317 0.416 0.733
Nick Gonzales
R
5
2B
46 194 178 20 45 7 2 5 16 14 1 33 0 1 0.0% 0 1 5 0.253 0.309 0.399 0.708
Jack Suwinski
L
6
LF
29 78 67 5 7 1 0 1 2 11 0 32 5 1 83.3% 0 0 1 0.104 0.231 0.164 0.395
Henry Davis
R
7
C
55 175 154 17 27 5 0 4 13 15 3 43 0 1 0.0% 2 1 0 0.175 0.260 0.286 0.546
Liover Peguero
R
8
SS
10 26 24 2 6 1 0 1 2 1 1 6 1 0 100.0% 0 0 0 0.250 0.308 0.417 0.724
Isiah Kiner-Falefa
R
9
3B
95 336 313 29 83 13 2 1 26 15 4 57 12 3 80.0% 3 1 5 0.265 0.306 0.329 0.635

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 San Francisco Expected Lineup - 2025 All Games Hitting Statistics
Player
B
#
Pos
G PA AB R H 2B 3B HR RBI BB HBP SO SB CS SB% SH SF GIDP AVG OBP SLG OPS
Heliot Ramos
R
1
LF
107 468 412 57 110 20 1 14 50 37 13 109 6 4 60.0% 0 6 10 0.267 0.342 0.422 0.764
Rafael Devers
L
2
DH
110 496 409 61 104 26 0 19 73 78 5 126 1 1 50.0% 0 4 12 0.254 0.377 0.457 0.834
Willy Adames
R
3
SS
108 459 399 64 95 18 2 16 57 51 3 116 4 2 66.7% 0 6 6 0.238 0.325 0.414 0.738
Matt Chapman
R
4
3B
85 358 308 49 73 14 2 16 42 45 5 89 7 2 77.8% 0 0 6 0.237 0.344 0.451 0.795
Dominic Smith
L
5
1B
33 113 98 11 26 6 0 2 12 11 2 21 1 0 100.0% 0 2 3 0.265 0.345 0.388 0.733
Jung Hoo Lee
L
6
CF
103 432 387 50 96 22 8 6 43 37 4 46 7 2 77.8% 0 4 2 0.248 0.317 0.393 0.710
Casey Schmitt
R
7
2B
51 171 153 15 37 6 0 5 17 14 3 43 0 0 0.0% 1 0 3 0.242 0.318 0.379 0.697
Mike Yastrzemski
L
8
RF
97 372 321 38 74 14 1 8 28 47 1 86 6 2 75.0% 2 1 4 0.231 0.330 0.355 0.685
Patrick Bailey
B
9
C
87 291 259 26 53 13 2 2 28 21 2 88 0 0 0.0% 4 5 4 0.205 0.265 0.293 0.558

Recent Results and Upcoming Schedule

View upcoming MLB team schedules and recent results, including detailed betting lines, scores, and key team statistics. Highlighted in green and red are positive and negative performances respectively, with past outcomes against the current opponent marked distinctly in a light green background for quick reference.

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Pittsburgh - Recent Results and Upcoming Schedule
  Team StatsOpponent Stats
DatePitcherOpponentOpp. PitcherScoreW-LMLTotalO-UHLOBEHLOBE
07/13/2025KELLER(R) @MIN @MinnesotaWOODS RICHARDSON(R)2-1W+1459u-20U1090760
07/18/2025FALTER(L) CHW Chi White SoxCANNON(R)1-10L-1508.5u-15O5601160
07/19/2025BURROWS(R) CHW Chi White SoxHOUSER(R)4-10L-1308u-15O131011380
07/20/2025HEANEY(L) CHW Chi White SoxCIVALE(R)2-7L-1459.5u-20U4311061
07/21/2025SKENES(R) DET DetroitFLAHERTY(R)3-0W-1257o-20U980580
07/22/2025KELLER(R) DET DetroitMIZE(R)8-5W+1158e-10O141201083
07/23/2025FALTER(L) DET DetroitMELTON(R)6-1W+1209e-10U840540
07/25/2025BURROWS(R) ARI ArizonaNELSON(R)0-1L-1059u-15U190590
07/26/2025HEANEY(L) ARI ArizonaKELLY(R)2-0W+1259u-15U660461
07/27/2025SKENES(R) ARI ArizonaGALLEN(R)6-0W-1307.5e-10U950570
07/28/2025KELLER(R) @SF @San FranciscoWHISENHUNT(L)6-5W+1158u-20O96011120
07/29/2025FALTER(L) @SF @San FranciscoVERLANDER(R)3-1W+1508e-10U12100230
07/30/2025BURROWS(R) @SF @San FranciscoWEBB(R)2-1W+1827u-20U7130670
08/01/2025HEANEY(L) @COL @ColoradoSENZATELA(R)8:10p
08/02/2025SKENES(R) @COL @ColoradoGOMBER(L)3:10p
08/03/2025KELLER(R) @COL @ColoradoBLALOCK(R)3:10p
08/04/2025FALTER(L) SF San FranciscoVERLANDER(R)6:40p
08/05/2025BURROWS(R) SF San FranciscoWEBB(R)6:40p

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San Francisco - Recent Results and Upcoming Schedule
  Team StatsOpponent Stats
DatePitcherOpponentOpp. PitcherScoreW-LMLTotalO-UHLOBEHLOBE
07/13/2025RAY(L) LAD LA DodgersYAMAMOTO(R)2-5L+1207.5e-10U590670
07/18/2025VERLANDER(R) @TOR @TorontoBASSITT(R)0-4L+1208.5o-15U11901070
07/19/2025WEBB(R) @TOR @TorontoLAUER(L)3-6L-1207.5e-10O4001480
07/20/2025RAY(L) @TOR @TorontoBERRIOS(R)6-8L-1058o-25O1250950
07/21/2025BIRDSONG(R) @ATL @AtlantaELDER(R)5-9L+1159.5u-20O12102870
07/22/2025ROUPP(R) @ATL @AtlantaDANIEL(R)9-0W+1059o-15P10508120
07/23/2025VERLANDER(R) @ATL @AtlantaSTRIDER(R)9-3W+1407.5e-10O1070790
07/25/2025WEBB(R) NYM NY MetsHOLMES(R)1-8L-1457o-15O9801050
07/26/2025RAY(L) NYM NY MetsPETERSON(L)1-2L-1107.5o-20U9827100
07/27/2025GAGE(L) NYM NY MetsSENGA(R)3-5L+1058u-15P61101280
07/28/2025WHISENHUNT(L) PIT PittsburghKELLER(R)5-6L-1258u-20O11120960
07/29/2025VERLANDER(R) PIT PittsburghFALTER(L)1-3L-1608e-10U23012100
07/30/2025WEBB(R) PIT PittsburghBURROWS(R)1-2L-1957u-20U6707130
08/01/2025RAY(L) @NYM @NY MetsPETERSON(L)7:10p
08/02/2025BIVENS(R) @NYM @NY MetsSENGA(R)4:10p
08/03/2025WHISENHUNT(L) @NYM @NY MetsMONTAS(R)1:40p
08/04/2025VERLANDER(R) @PIT @PittsburghFALTER(L)6:40p
08/05/2025WEBB(R) @PIT @PittsburghBURROWS(R)6:40p

Stadium Weather Forecast

This page displays detailed weather forecasts and stadium conditions for MLB games, providing key insights for bettors and fantasy players. Temperature, humidity, wind speed and direction, and precipitation forecasts are clearly presented, with particularly favorable ("good") and unfavorable ("bad") conditions highlighted in green and red, respectively.

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Oracle ParkTemperature Wind ConditionsPrecipitation
ConditionCloud CoverExpectedLowHighHumidityWindSustainedGustsExpected%ChanceIntensity
 partly-cloudy-day
57.5%62.5 (Cool-Warm)61.962.979.5%
 Light-Heavy OUT to CF
15.0 mph19.5 mphnone0.0%0.000 mm/hr
For today's game at Oracle Park, expect warm temps around 71°F with no precipitation and moderate humidity at 77%. The wind blowing out to center field at 14 mph may bolster offense, benefiting hitters. Pitchers could face challenges if winds pick up. Overall, solid conditions for fantasy players and bettors alike!

Top Betting Systems

Explore league-wide betting systems that reveal patterns where teams consistently outperform or underperform, applicable to both sides and totals for all games.
Betting Systems Favoring San Francisco
Bet against - Road underdogs with a money line of +175 to +250 - after 2 straight games where they committed no errors, with a tired bullpen - throwing 13+ innings over the last 3 games.
System applies to: Pittsburgh.

System's record since 2021: 104-20 (83.9%) with an average money line of -218  (+60.4 unit$, ROI=22.3%)
The average score in these games was Team 5.9, Opponent 3.3
The system's record this season is: (8-3, +1.0 units).

Bet against - Road underdogs against a 1.5 run line. (Money Line =+110 to +155) - after 2 straight games where they committed no errors, with a tired bullpen - throwing 13+ innings over the last 3 games.
System applies to: Pittsburgh.

System's record since 2021: 83-41 (66.9%) with an average run line of -1.5, money line=-110  (+37.8 unit$, ROI=27.7%)
The average score in these games was Team 5.9, Opponent 3.3
The system's record this season is: (6-5, +0.2 units).

Top Team Trends

Explore top team betting trends for upcoming games, covering records vs. the money line, run line, and over/under. Trends displayed have a demonstrated edge against the line referenced.

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Trends Favoring Pittsburgh.
Bet on Pittsburgh on the money line when playing on Wednesday.
Pittsburgh record during the 2025 season: 13-3 (81%) with an average money line of +123. (+13.0 unit$, ROI=81.3%).
The average score of these games was Pirates 4.1, Opponents 1.6.
Bet on Pittsburgh on the money line vs. an NL team with an on base percentage .325 or worse in the second half of the season.
Pittsburgh record during the 2025 season: 11-1 (92%) with an average money line of +108. (+11.9 unit$, ROI=98.8%).
The average score of these games was Pirates 5.4, Opponents 0.9.
Bet on Pittsburgh on the money line vs. an NL team with a batting average of .255 or worse in the second half of the season.
Pittsburgh record during the 2025 season: 11-1 (92%) with an average money line of +108. (+11.9 unit$, ROI=98.8%).
The average score of these games was Pirates 5.4, Opponents 0.9.
Bet on Pittsburgh on the money line vs. an NL team with a slugging percentage .400 or worse in the second half of the season.
Pittsburgh record during the 2025 season: 6-0 (100%) with an average money line of +106. (+7.0 unit$, ROI=115.8%).
The average score of these games was Pirates 4.5, Opponents 1.0.
Bet on Pittsburgh on the money line vs. an NL team with a batting average of .245 or worse in the second half of the season.
Pittsburgh record during the 2025 season: 5-0 (100%) with an average money line of +127. (+6.4 unit$, ROI=127.0%).
The average score of these games was Pirates 7.8, Opponents 2.0.
Bet on Pittsburgh on the money line vs. an NL team with a batting average of .250 or worse in the second half of the season.
Pittsburgh record during the 2025 season: 5-0 (100%) with an average money line of +127. (+6.4 unit$, ROI=127.0%).
The average score of these games was Pirates 7.8, Opponents 2.0.
Bet on Pittsburgh on the money line vs. poor baserunning teams - averaging 0.5 or less SB's/game in the second half of the season.
Pittsburgh record during the 2025 season: 5-0 (100%) with an average money line of +115. (+6.0 unit$, ROI=120.0%).
The average score of these games was Pirates 5.2, Opponents 2.4.
Bet against San Francisco in home games on the money line vs. an NL team with a batting average of .250 or worse in the second half of the season.
San Francisco record during the 2025 season: 0-5 (0%) with an average money line of -127. (-6.4 unit$, ROI=-100.8%).
The average score of these games was Giants 2.2, Opponents 4.8.
Bet against San Francisco in home games on the money line vs. an NL team with an on base percentage .315 or worse in the second half of the season.
San Francisco record during the 2025 season: 0-5 (0%) with an average money line of -127. (-6.4 unit$, ROI=-100.8%).
The average score of these games was Giants 2.2, Opponents 4.8.
Bet against San Francisco in home games on the money line vs. an NL team with a batting average of .245 or worse in the second half of the season.
San Francisco record during the 2025 season: 0-5 (0%) with an average money line of -127. (-6.4 unit$, ROI=-100.8%).
The average score of these games was Giants 2.2, Opponents 4.8.
Bet against San Francisco in home games on the money line vs. an NL team with a batting average of .255 or worse in the second half of the season.
San Francisco record during the 2025 season: 0-5 (0%) with an average money line of -127. (-6.4 unit$, ROI=-100.8%).
The average score of these games was Giants 2.2, Opponents 4.8.
Bet against San Francisco in home games on the money line vs. an NL team with a slugging percentage .390 or worse in the second half of the season.
San Francisco record since the 2024 season: 1-6 (14%) with an average money line of -172. (-8.3 unit$, ROI=-68.5%).
The average score of these games was Giants 3.3, Opponents 4.6.
Bet on Pittsburgh on the run line when playing on Wednesday.
Pittsburgh record during the 2025 season: 14-2 (88%) with an average run line of +0.8, money line=-118. (+13.2 unit$, ROI=69.8%).
The average score of these games was Pirates 4.1, Opponents 1.6.
Bet on Pittsburgh on the run line after having won 4 or 5 of their last 6 games.
Pittsburgh record during the 2025 season: 16-3 (84%) with an average run line of +0.6, money line=-115. (+15.1 unit$, ROI=69.1%).
The average score of these games was Pirates 3.9, Opponents 1.9.
Bet on Pittsburgh in road games on the run line after having won 4 of their last 5 games.
Pittsburgh record since the 2024 season: 6-0 (100%) with an average run line of +0.5, money line=-128. (+6.3 unit$, ROI=81.2%).
The average score of these games was Pirates 4.5, Opponents 3.0.
Bet on Pittsburgh on the run line vs. an NL team with an on base percentage .325 or worse in the second half of the season.
Pittsburgh record during the 2025 season: 11-1 (92%) with an average run line of +0.8, money line=-119. (+11.3 unit$, ROI=79.3%).
The average score of these games was Pirates 5.4, Opponents 0.9.
Bet on Pittsburgh on the run line vs. an NL team with a batting average of .255 or worse in the second half of the season.
Pittsburgh record during the 2025 season: 11-1 (92%) with an average run line of +0.8, money line=-119. (+11.3 unit$, ROI=79.3%).
The average score of these games was Pirates 5.4, Opponents 0.9.
Bet on Pittsburgh on the run line vs. good fielding teams - averaging <=0.6 errors/game in the second half of the season.
Pittsburgh record during the 2025 season: 20-4 (83%) with an average run line of +1.0, money line=-133. (+16.2 unit$, ROI=50.9%).
The average score of these games was Pirates 4.1, Opponents 2.4.
Bet on Pittsburgh in road games on the run line vs. a team with a good bullpen whose ERA is 3.45 or better.
Pittsburgh record during the 2025 season: 12-2 (86%) with an average run line of +1.3, money line=-135. (+9.3 unit$, ROI=49.1%).
The average score of these games was Pirates 2.8, Opponents 2.6.
Bet against San Francisco on the run line as a home favorite when the run line price is -190 to +175.
San Francisco record during the 2025 season: 9-32 (22%) with an average run line of -1.5, money line=+132. (-21.0 unit$, ROI=-51.2%).
The average score of these games was Giants 3.8, Opponents 3.8.
Bet against San Francisco in home games on the run line when playing against a bad team (Win Pct. 38% to 46%) in the second half of the season.
San Francisco record since the 2024 season: 0-8 (0%) with an average run line of -1.1, money line=+123. (-8.6 unit$, ROI=-107.5%).
The average score of these games was Giants 3.1, Opponents 4.6.

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Trends Favoring Under.
Bet under the total in Pittsburgh games on the road when the total is 7 to 7.5.
The Under's record during the 2025 season: 16-4 (80%) with an average over/under of 7.2, money line=-109. (+11.8 unit$, ROI=51.3%).
The average score of these games was Pirates 2.6, Opponents 3.1.
Bet under the total in Pittsburgh games when playing on Wednesday.
The Under's record during the 2025 season: 15-1 (94%) with an average over/under of 8.0, money line=-111. (+13.9 unit$, ROI=78.5%).
The average score of these games was Pirates 4.1, Opponents 1.6.
Bet under the total in Pittsburgh games after 3 or more consecutive wins.
The Under's record during the 2025 season: 8-1 (89%) with an average over/under of 7.8, money line=-109. (+6.8 unit$, ROI=69.4%).
The average score of these games was Pirates 3.7, Opponents 1.6.
Bet under the total in Pittsburgh games after 4 or more consecutive wins.
The Under's record during the 2025 season: 5-0 (100%) with an average over/under of 7.4, money line=-107. (+5.0 unit$, ROI=93.5%).
The average score of these games was Pirates 2.6, Opponents 1.8.
Bet under the total in Pittsburgh games after having won 6 or 7 of their last 8 games.
The Under's record during the 2025 season: 9-0 (100%) with an average over/under of 7.2, money line=-111. (+9.0 unit$, ROI=90.0%).
The average score of these games was Pirates 1.9, Opponents 1.6.
Bet under the total in Pittsburgh games after having won 5 or 6 of their last 7 games.
The Under's record during the 2025 season: 13-1 (93%) with an average over/under of 7.5, money line=-110. (+11.8 unit$, ROI=76.9%).
The average score of these games was Pirates 2.8, Opponents 1.8.
Bet under the total in Pittsburgh games after having won 4 or 5 of their last 6 games.
The Under's record during the 2025 season: 15-4 (79%) with an average over/under of 7.7, money line=-111. (+10.5 unit$, ROI=49.8%).
The average score of these games was Pirates 3.9, Opponents 1.9.
Bet under the total in Pittsburgh games vs. an NL team with a slugging percentage .400 or worse on the season.
The Under's record during the 2025 season: 26-10 (72%) with an average over/under of 8.0, money line=-110. (+15.0 unit$, ROI=35.7%).
The average score of these games was Pirates 3.2, Opponents 3.3.
Bet under the total in Pittsburgh games vs. a starting pitcher with good control (less than 1.75 BB's/start).
The Under's record during the 2025 season: 21-6 (78%) with an average over/under of 7.7, money line=-112. (+14.3 unit$, ROI=45.7%).
The average score of these games was Pirates 2.3, Opponents 3.2.
Bet under the total in Pittsburgh road games vs. a team with a good bullpen whose ERA is 3.45 or better.
The Under's record during the 2025 season: 11-2 (85%) with an average over/under of 7.4, money line=-110. (+8.8 unit$, ROI=57.0%).
The average score of these games was Pirates 2.8, Opponents 2.6.
Bet under the total in Pittsburgh games vs. an NL starting pitcher whose WHIP is 1.250 or better.
The Under's record during the 2025 season: 17-5 (77%) with an average over/under of 7.9, money line=-111. (+11.7 unit$, ROI=43.8%).
The average score of these games was Pirates 2.8, Opponents 3.1.
Bet under the total in San Francisco games revenging a loss vs opponent as a home favorite.
The Under's record during the 2025 season: 15-4 (79%) with an average over/under of 7.7, money line=-108. (+10.7 unit$, ROI=49.4%).
The average score of these games was Giants 2.9, Opponents 3.3.

Top Manager Trends

Explore top manager betting trends for upcoming games, covering records vs. the money line, run line, and over/under. Trends displayed have a demonstrated edge against the line referenced, and encompass both the managers' entire career, along with their current tenure with the team.

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Top Manager Trends Favoring Pittsburgh.
Bet on Don Kelly on the money line vs. an NL team with a batting average of .255 or worse in the second half of the season.
Kelly's record as manager of PITTSBURGH: 11-1 (92%) with an average money line of +108. (+11.9 unit$, ROI=98.8%)
The average score of these games was PITTSBURGH 5.4, Opponents 0.9
Bet on Don Kelly on the money line vs. an NL team with an on base percentage .325 or worse in the second half of the season.
Kelly's record as manager of PITTSBURGH: 11-1 (92%) with an average money line of +108. (+11.9 unit$, ROI=98.8%)
The average score of these games was PITTSBURGH 5.4, Opponents 0.9
Bet on Don Kelly on the money line vs. an NL team with a slugging percentage .400 or worse in the second half of the season.
Kelly's record as manager of PITTSBURGH: 6-0 (100%) with an average money line of +106. (+7.0 unit$, ROI=115.8%)
The average score of these games was PITTSBURGH 4.5, Opponents 1.0
Bet on Don Kelly on the money line vs. an NL team with a batting average of .245 or worse in the second half of the season.
Kelly's record as manager of PITTSBURGH: 5-0 (100%) with an average money line of +127. (+6.4 unit$, ROI=127.0%)
The average score of these games was PITTSBURGH 7.8, Opponents 2.0
Bet on Don Kelly on the money line vs. an NL team with a batting average of .250 or worse in the second half of the season.
Kelly's record as manager of PITTSBURGH: 5-0 (100%) with an average money line of +127. (+6.4 unit$, ROI=127.0%)
The average score of these games was PITTSBURGH 7.8, Opponents 2.0
Bet on Don Kelly on the money line vs. poor baserunning teams - averaging 0.5 or less SB's/game in the second half of the season.
Kelly's record as manager of PITTSBURGH: 5-0 (100%) with an average money line of +115. (+6.0 unit$, ROI=120.0%)
The average score of these games was PITTSBURGH 5.2, Opponents 2.4
Bet against Bob Melvin in road games on the money line vs. an NL team with a slugging percentage .390 or worse in the second half of the season.
Melvin's record as manager of SAN FRANCISCO: 1-6 (14%) with an average money line of -172. (-8.3 unit$, ROI=-68.5%)
The average score of these games was SAN FRANCISCO 3.3, Opponents 4.6
Bet on Don Kelly on the run line when playing on Wednesday.
Kelly's record as manager of PITTSBURGH: 9-1 (90%) with an average run line of +0.9, money line=-123. (+8.4 unit$, ROI=67.9%)
The average score of these games was PITTSBURGH 4.6, Opponents 1.3
Bet on Don Kelly on the run line after having won 4 or 5 of their last 6 games.
Kelly's record as manager of PITTSBURGH: 16-3 (84%) with an average run line of +0.6, money line=-115. (+15.1 unit$, ROI=69.1%)
The average score of these games was PITTSBURGH 3.9, Opponents 1.9
Bet on Don Kelly on the run line vs. an NL team with a batting average of .255 or worse in the second half of the season.
Kelly's record as manager of PITTSBURGH: 11-1 (92%) with an average run line of +0.8, money line=-119. (+11.3 unit$, ROI=79.3%)
The average score of these games was PITTSBURGH 5.4, Opponents 0.9
Bet on Don Kelly on the run line vs. an NL team with an on base percentage .325 or worse in the second half of the season.
Kelly's record as manager of PITTSBURGH: 11-1 (92%) with an average run line of +0.8, money line=-119. (+11.3 unit$, ROI=79.3%)
The average score of these games was PITTSBURGH 5.4, Opponents 0.9
Bet on Don Kelly on the run line vs. an NL team with an on base percentage .325 or worse.
Kelly's record as manager of PITTSBURGH: 26-9 (74%) with an average run line of +0.7, money line=-113. (+17.6 unit$, ROI=44.6%)
The average score of these games was PITTSBURGH 4.1, Opponents 2.5
Bet on Don Kelly on the run line vs. an NL team with a team batting average of .255 or worse.
Kelly's record as manager of PITTSBURGH: 28-10 (74%) with an average run line of +0.8, money line=-113. (+18.4 unit$, ROI=42.8%)
The average score of these games was PITTSBURGH 4.0, Opponents 2.6
Bet on Don Kelly on the run line vs. good fielding teams - averaging <=0.6 errors/game in the second half of the season.
Kelly's record as manager of PITTSBURGH: 20-4 (83%) with an average run line of +1.0, money line=-133. (+16.2 unit$, ROI=50.9%)
The average score of these games was PITTSBURGH 4.1, Opponents 2.4
Bet on Don Kelly in road games on the run line vs. a team with a good bullpen whose ERA is 3.45 or better.
Kelly's record as manager of PITTSBURGH: 11-1 (92%) with an average run line of +1.5, money line=-141. (+9.3 unit$, ROI=54.9%)
The average score of these games was PITTSBURGH 2.9, Opponents 2.5
Bet against Bob Melvin in road games on the run line when playing against a bad team (Win Pct. 38% to 46%) in the second half of the season.
Melvin's record as manager of SAN FRANCISCO: 0-8 (0%) with an average run line of -1.1, money line=+123. (-8.6 unit$, ROI=-107.5%)
The average score of these games was SAN FRANCISCO 3.1, Opponents 4.6

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Top Manager Trends Favoring Under.
Bet under the total in Don Kelly games when playing on Wednesday.
The Under's record as manager of PITTSBURGH: 9-1 (90%) with an average over/under of 7.9, money line=-111. (+7.9 unit$, ROI=71.5%)
The average score of these games was PITTSBURGH 4.6, Opponents 1.3
Bet under the total in Don Kelly games after having won 6 or 7 of their last 8 games.
The Under's record as manager of PITTSBURGH: 9-0 (100%) with an average over/under of 7.2, money line=-111. (+9.0 unit$, ROI=90.0%)
The average score of these games was PITTSBURGH 1.9, Opponents 1.6
Bet under the total in Don Kelly games after having won 5 or 6 of their last 7 games.
The Under's record as manager of PITTSBURGH: 13-1 (93%) with an average over/under of 7.5, money line=-110. (+11.8 unit$, ROI=76.9%)
The average score of these games was PITTSBURGH 2.8, Opponents 1.8
Bet under the total in Don Kelly games after having won 4 or 5 of their last 6 games.
The Under's record as manager of PITTSBURGH: 15-4 (79%) with an average over/under of 7.7, money line=-111. (+10.5 unit$, ROI=49.8%)
The average score of these games was PITTSBURGH 3.9, Opponents 1.9