Pre-game prop analysis powered by recent player performance. Every prop graded before tipoff.
| # | Sport | Player | Matchup | Stat | Line | Odds | L5 Avg | Edge | Hit | Trend | Score | Grade | Final | Over | Under | Books |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1501 | MLB | Jake Mangum 10 games | PIT vs CHC@PIT | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 1502 | MLB | Jake Mangum 10 games | PIT vs CHC@PIT | RBI | 1.5 | +900 | 0.6 | -0.9 | 0/5 | +-0 | 29 | F | 0.0 | LOSS | WIN | |
| 1503 | MLB | Jake McCarthy 10 games | COL vs COL@MIL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1504 | MLB | Jake Rogers 10 games | DET vs KCR@DET | TB | 1.5 | +200 | 1 | -0.5 | 1/5 | -1.1 | 29 | F | — | PENDING | PENDING | |
| 1505 | MLB | Jakob Marsee 10 games | MIA vs SDP@MIA | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1506 | MLB | Jakob Marsee 10 games | MIA vs SDP@MIA | RBI | 0.5 | +230 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1507 | MLB | James Jarvis 10 games | vs ATL@BAL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1508 | MLB | James Wood 10 games | WSH vs ARI@WSN | HR | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1509 | MLB | James Wood 10 games | WSH vs ARI@WSN | TB | 1.5 | +102 | 1 | -0.5 | 1/5 | -0.6 | 29 | F | 1.0 | LOSS | WIN | |
| 1510 | MLB | Jared Triolo 10 games | PIT vs CHC@PIT | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1511 | MLB | Jared Triolo 10 games | PIT vs CHC@PIT | R | 1.5 | +1500 | 0.6 | -0.9 | 0/5 | +0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1512 | MLB | Jarren Duran 10 games | BOS vs TOR@BOS | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1513 | MLB | Jasson Domínguez 10 games | NYY vs NYY@PHI | H | 1.5 | +300 | 0.8 | -0.7 | 0/5 | -0.2 | 29 | F | 1.0 | LOSS | WIN | |
| 1514 | MLB | Jasson Domínguez 10 games | NYY vs NYY@PHI | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1515 | MLB | Jasson Domínguez 10 games | NYY vs NYY@PHI | R | 1.5 | +1300 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1516 | MLB | Javier Sanoja 10 games | MIA vs SDP@MIA | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1517 | MLB | Jimmy Crooks 10 games | STL vs CIN@STL | H | 1.5 | +475 | 0.6 | -0.9 | 0/5 | -0.2 | 29 | F | 1.0 | LOSS | WIN | |
| 1518 | MLB | Jimmy Crooks 10 games | STL vs CIN@STL | TB | 1.5 | +220 | 1.2 | -0.3 | 1/5 | -0.8 | 29 | F | 2.0 | WIN | LOSS | |
| 1519 | MLB | JJ Bleday 10 games | CIN vs CIN@STL | H | 1.5 | +360 | 0.6 | -0.9 | 0/5 | -0.5 | 29 | F | 1.0 | LOSS | WIN | |
| 1520 | MLB | JJ Wetherholt 10 games | STL vs CIN@STL | RBI | 1.5 | +700 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1521 | MLB | Joey Bart 10 games | ATL vs ATL@BAL | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1522 | MLB | Joey Bart 10 games | ATL vs ATL@BAL | R | 0.5 | +160 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1523 | MLB | Joey Bart 10 games | ATL vs ATL@BAL | TB | 1.5 | +175 | 0.4 | -1.1 | 1/5 | -0.1 | 29 | F | 3.0 | WIN | LOSS | |
| 1524 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1525 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | RBI | 1.5 | +600 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | — | PENDING | PENDING | |
| 1526 | MLB | Jonathan Aranda 10 games | TB vs CLE@TBR | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1527 | MLB | Jonathan Aranda 10 games | TB vs CLE@TBR | R | 0.5 | +110 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 1528 | MLB | Jonathan Aranda 10 games | TB vs CLE@TBR | TB | 1.5 | +150 | 0.8 | -0.7 | 1/5 | -1 | 29 | F | 1.0 | LOSS | WIN | |
| 1529 | MLB | Jordan Walker 10 games | STL vs CIN@STL | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1530 | MLB | Jordan Walker 10 games | STL vs CIN@STL | R | 1.5 | +600 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1531 | MLB | Jorge Soler 10 games | LAA vs LAA@SFG | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1532 | MLB | Jose Altuve 10 games | HOU vs HOU@CHW | R | 1.5 | +1300 | 0.4 | -1.1 | 1/5 | +0.2 | 29 | F | 1.0 | LOSS | WIN | |
| 1533 | MLB | Jose Caballero 10 games | NYY vs NYY@PHI | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1534 | MLB | Jose Caballero 10 games | NYY vs NYY@PHI | R | 0.5 | +190 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1535 | MLB | Josh Bell 10 games | MIN vs Athletics@ | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1536 | MLB | Josh Bell 10 games | MIN vs Athletics@ | RBI | 1.5 | +475 | 0.4 | -1.1 | 1/5 | +0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1537 | MLB | Josh Jung 10 games | TEX vs SEA@TEX | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1538 | MLB | Josh Jung 10 games | TEX vs SEA@TEX | TB | 1.5 | +150 | 0.8 | -0.7 | 1/5 | -0.6 | 29 | F | — | PENDING | PENDING | |
| 1539 | MLB | Josh Naylor 10 games | SEA vs SEA@TEX | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1540 | MLB | Juan Soto 10 games | NYM vs LAD@NYM | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1541 | MLB | Julio Rodriguez 4 games | SEA vs SEA@TEX | H | 1.5 | +220 | 0.8 | -0.8 | 0/4 | +0.3 | 29 | F | — | PENDING | PENDING | |
| 1542 | MLB | Julio Rodriguez 4 games | SEA vs SEA@TEX | R | 1.5 | +600 | 0.5 | -1 | 0/4 | +0.2 | 29 | F | — | PENDING | PENDING | |
| 1543 | MLB | Jung Hoo Lee 10 games | SF vs LAA@SFG | H | 1.5 | +220 | 0.8 | -0.7 | 0/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1544 | MLB | Jung Hoo Lee 10 games | SF vs LAA@SFG | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1545 | MLB | Junior Caminero 10 games | TB vs CLE@TBR | HR | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1546 | MLB | Junior Caminero 10 games | TB vs CLE@TBR | RBI | 1.5 | +360 | 0.4 | -1.1 | 1/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1547 | MLB | Justin Crawford 10 games | PHI vs NYY@PHI | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1548 | MLB | Justin Crawford 10 games | PHI vs NYY@PHI | R | 0.5 | +190 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1549 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1550 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | R | 0.5 | +120 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS |
Every prop scored on a 0–100 scale before tipoff — built to separate high-confidence plays from coin flips.
The Prop Grader analyzes every available player prop before games begin. It pulls recent performance data — the last 5 to 10 games — and runs each prop through a multi-factor scoring model. The result is a composite score and letter grade that tells you how confident the data is behind any given prop.
Scoring Factors
Edge vs Line (up to 35 pts) — How far the player's recent average sits above or below the prop line. A large positive edge means the player has been consistently clearing this number.
Hit Rate (up to 25 pts) — Out of the last 5 games, how many times did the player actually beat this line? A 5/5 hit rate earns full marks.
Trend (up to 15 pts) — Is the player trending up or down? Compares the last 3 games against the last 10 to detect momentum shifts.
Role Stability (up to 15 pts) — For NBA, this checks minutes consistency. A starter playing 34+ minutes with low variance is more predictable than someone fluctuating between 20 and 35.
Odds Value (up to 10 pts) — Props with plus-money or short juice are more valuable than heavily juiced lines. Better odds mean better expected value.
Grade Scale
A (85–100) — Elite. Strong edge, near-perfect hit rate, positive trend, stable role. These are the highest-confidence props on the board.
B (75–84) — Strong. Most factors are favorable. Solid plays with data backing them up.
C (65–74) — Average. The numbers lean positive but there may be a weak factor pulling the score down.
D (55–64) — Below average. The edge is thin or the recent track record is inconsistent.
F (below 55) — Weak. The data doesn't support this prop. Proceed with caution or skip entirely.
Grades are computed before tipoff using data available at that time. After games complete, each prop is matched against the actual box score and marked as a win, loss, or push.