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3.1% edge · San Francisco GiantsSt. Louis Cardinals vs San Francisco Giants — Prediction & Odds
September 9, 2026 · Andre Pallante vs Blade Tidwell · 84°F
St. Louis Cardinals win
47.8%
San Francisco Giants win
52.2%
Fair line (home)
-109
Proj. total
8.54
Score distribution
How often each team scores each run total across all simulations.
St. Louis Cardinals (mean 4.27)San Francisco Giants (mean 4.27)
Totals
O/U line
8.5
Proj. total
8.54
Over
46.4%
Under
53.6%
Model vs. market
| Side | Model | Book | Fair |
|---|---|---|---|
| St. Louis Cardinals | 47.8% | -108 | +109 |
| San Francisco Giants | 52.2% | -100 | -109 |
Projected starters
| Starter | IP | K | H | BB | R |
|---|---|---|---|---|---|
Andre Pallante RHP · St. Louis Cardinals | 5.1 | 3.7 | 6.0 | 1.8 | 2.4 |
Blade Tidwell RHP · San Francisco Giants | 2.9 | 2.2 | 2.9 | 1.2 | 1.2 |
Strikeout ladder
Andre Pallante4+ 52%6+ 16%8+ 3%
Blade Tidwell4+ 17%6+ 2%8+ 0%
Per-game averages across all simulations. IP is a decimal average of outs recorded, not baseball's 5.2 notation. R is runs allowed while the starter was still in the game; the simulation models no errors, so every run is earned by construction — which is why this says R and not ER.
St. Louis Cardinals — projected lines
| Batter | PA | 1B | 2B | 3B | HR | BB | K | AVG | OBP | SLG | OPS |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bryan Torres | 4.8 | .909 | .177 | .038 | .052 | .533 | .749 | .275 | .360 | .371 | .731 |
| Iván Herrera | 4.7 | .797 | .180 | .013 | .111 | .559 | .738 | .272 | .376 | .404 | .780 |
| Alec Burleson | 4.6 | .807 | .205 | .012 | .146 | .402 | .590 | .280 | .349 | .440 | .789 |
| Leo Bernal | 4.5 | .698 | .168 | .019 | .095 | .364 | .840 | .239 | .305 | .358 | .663 |
| Joshua Báez | 4.4 | .590 | .183 | .023 | .159 | .302 | 1.137 | .237 | .300 | .412 | .711 |
| Nolan Gorman | 4.3 | .506 | .130 | .007 | .148 | .494 | 1.288 | .209 | .304 | .365 | .669 |
| Thomas Saggese | 4.2 | .699 | .176 | .016 | .084 | .294 | .884 | .253 | .313 | .373 | .686 |
| Masyn Winn | 4.1 | .700 | .183 | .018 | .067 | .347 | .661 | .263 | .333 | .377 | .710 |
| Nathan Church | 4.0 | .722 | .145 | .026 | .076 | .246 | .549 | .263 | .316 | .379 | .695 |
San Francisco Giants — projected lines
| Batter | PA | 1B | 2B | 3B | HR | BB | K | AVG | OBP | SLG | OPS |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Drew Gilbert | 4.7 | .775 | .213 | .036 | .097 | .431 | .678 | .269 | .347 | .408 | .755 |
| Turner Hill | 4.5 | .914 | .226 | .047 | .042 | .394 | .453 | .300 | .369 | .409 | .778 |
| Bryce Eldridge | 4.4 | .735 | .207 | .005 | .137 | .492 | 1.014 | .277 | .361 | .437 | .798 |
| Jonah Cox | 4.3 | .870 | .150 | .089 | .064 | .258 | .872 | .290 | .338 | .419 | .757 |
| Jung Hoo Lee | 4.2 | .857 | .225 | .045 | .051 | .281 | .342 | .301 | .354 | .421 | .776 |
| Shay Whitcomb | 4.1 | .672 | .167 | .011 | .111 | .263 | .928 | .251 | .305 | .387 | .693 |
| Drew Cavanaugh | 4.0 | .672 | .180 | .007 | .062 | .396 | .958 | .259 | .343 | .365 | .709 |
| Grant McCray | 3.9 | .599 | .159 | .033 | .066 | .342 | .947 | .242 | .314 | .362 | .677 |
| Christian Koss | 3.8 | .705 | .177 | .013 | .053 | .188 | .698 | .267 | .312 | .369 | .681 |
Data notes: 20/20 lineup+starter talents from projections