Track Record ✦ the last 30 days

49.1% Accuracy

195–202 across 397 games

— By Simulation Type —

Simulation Correct Total Accuracy
Baseline ★ leader 208 397 52.4%
Pitcher-weighted 190 397 47.9%
Platoon-weighted 195 397 49.1%
Pitcher + Platoon 195 397 49.1%
Logistic 194 397 48.9%
Random Forest 185 397 46.6%
Consensus 195 397 49.1%
Baseline is leading individual model by 3.3 points. Consensus edges out 3 of 6 sims.

— Per-Team Accuracy —

★ Top 5 teams
Dodgers
19–8 70.4%
Angels
16–10 61.5%
Tigers
15–11 57.7%
Red Sox
15–11 57.7%
Twins
14–11 56.0%
✗ Bottom 5 teams
D-backs
9–18 33.3%
Marlins
9–17 34.6%
Orioles
10–16 38.5%
Pirates
10–16 38.5%
Mets
11–16 40.7%

37-point spread between best and worst — D-backs 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% 257 52.3% 48.6% -3.7
55-60% 113 56.9% 48.7% -8.2
60-65% 24 61.6% 54.2% -7.4
65-70% 3 66.6% 66.7% +0.0
70%+ 0
Overconfidence shows up most in the 55-60% 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

54.3%

across 412 picks

Home team picks

59.2%

vs MLB home rate ~54%

Unanimous picks

13%

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 →