Track Record ✦ this season

56.2% Accuracy

712–555 across 1267 games · season opened March 26

— By Simulation Type —

Simulation Correct Total Accuracy
Baseline 646 1267 51.0%
Pitcher-weighted 628 1267 49.6%
Platoon-weighted 659 1267 52.0%
Pitcher + Platoon 628 1267 49.6%
Logistic 656 1267 51.8%
Random Forest ★ leader 759 1267 59.9%
Consensus 712 1267 56.2%
Random Forest is leading individual model by 7.9 points. Consensus edges out 5 of 6 sims.

— Per-Team Accuracy —

★ Top 5 teams
Tigers
55–28 66.3%
Padres
54–29 65.1%
Phillies
55–30 64.7%
Mariners
54–30 64.3%
Rockies
54–31 63.5%
✗ Bottom 5 teams
Cubs
39–46 45.9%
Guardians
40–45 47.1%
Blue Jays
42–44 48.8%
Royals
42–43 49.4%
Rays
41–41 50.0%

20-point spread between best and worst — Cubs the hardest to call.

— Confidence Calibration —

Are our confidence numbers honest? Compare what we said to what actually happened.

Confidence band Picks Avg predicted Actual rate Gap
50-55% 709 52.4% 53.0% +0.7
55-60% 366 57.1% 57.9% +0.8
60-65% 122 62.1% 62.3% +0.1
65-70% 38 67.0% 57.9% -9.1
70%+ 31 73.7% 80.6% +6.9
Overconfidence shows up most in the 65-70% band.

— Lineup Impact —

Lineup status Games Correct Accuracy
Real lineups 902 497 55.1%
Fallback lineups 365 215 58.9%
Fallback-lineup predictions are 3.8 points more accurate. 29% of season picks rely on fallback lineups.

— Pick Distribution —

Avg confidence

55.6%

across 1282 picks

Home team picks

58.1%

vs MLB home rate ~54%

Unanimous picks

14%

all sims agreed

— Recent Performance —

Last 30 days

★ Best day

9 of 10

Monday, June 15 · 90.0%

✗ Worst day

3 of 14

Saturday, June 20 · 21.4%

Jun 8 Jun 23 Jul 7
Date Correct Total Accuracy
Tue, Jul 7 7 16 43.8%
Mon, Jul 6 6 8 75.0%
Sun, Jul 5 6 15 40.0%
Sat, Jul 4 11 15 73.3%
Fri, Jul 3 4 13 30.8%
Thu, Jul 2 4 9 44.4%
Wed, Jul 1 10 14 71.4%
Tue, Jun 30 7 15 46.7%
Mon, Jun 29 6 13 46.2%
Sun, Jun 28 7 15 46.7%
Show all 30 days →