MLB Ghost Runner Tactical RE24 EngineOracle Park Calibrated
Tenth Inning Diamond State
BOT 10 | 0 OUTS | TIE 3-3
Click diamond bases (1B, 2B, 3B) to toggle baserunners. Ghost runner starts on 2B.
Tactical Probability & Leverage
LI: 3.42 (EXTREME LEVERAGE)
Run Expectancy
1.12
Base MLB: 1.10
Win Probability
68.0%
+14.2% Delta
Walk-Off / 1+ R %
62.0%
Break-even: 50.0%
Batting Club (Giants)Defense
68.0% Win Expectancy32.0% Opponent
Optimal Tactic:Swing Away (Away) vs Bunt (Home Tie) Visiting teams maximize win expectancy by swinging away to target 2+ run innings, whereas home teams in tie games maximize walk-off win probability through sacrifice bunting to advance the automatic runner to 3B with 1 out.
Tenth Inning Expected Run Distribution
Runs Scored
Outcome Prob
Resulting Inning WP
Distribution
0 Runs
38.0%
24.5%
1 Run
34.0%
100.0%
2+ Runs
28.0%
100.0%
SF GIANTS VS MLB AUTOMATIC RUNNER ERA2020–PRESENT
SF Extra-Inning Win %
55.8%
MLB League Average
50.0%
Bunt Advance Success
81.4%
Home Walk-Off Rate
54.2%
The inning tool selects assigned branches and normalizes categories
Read the explanation
For an away half with a runner on second, the source leverage is two point one plus point six five plus outs times point three five. Zero outs gives two point seven five; two outs gives three point four five. Bars share one hundred thirty pixels per assigned index point. These are simulator coefficients, not verified historical or measured game leverage. When a runner is on second but not third and outs are fewer than two, the source bunt branch assigns home win label sixty-eight percent and away label fifty-eight. Bars share six pixels per assigned percentage point. These are fixed assumed outputs, not calibrated forecasts or tactical advice. The displayed difference comes from the home-versus-away branch rather than a fresh probability estimate. The eligible bunt branch starts with zero-run probability point three three, one-run point four nine and two-plus point one eight. Infield-in subtracts point zero four from one-run, adds point zero three to two-plus and point zero one to zero-run. Their sum remains one, so normalized one-run is forty-five instead of forty-nine percent. Bars share nine pixels per assigned percentage point. This explains the programmed redistribution; saved sports claims remain unverified. Full JSON/reset and responsive first-footer proof preserve original behavior.