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 | Jasson Domínguez 10 games | NYY vs NYY@BOS | RBI | 0.5 | +202 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1502 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@BOS | H | 1.5 | +320 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1503 | MLB | Jimmy Crooks 10 games | STL vs MIA@STL | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1504 | MLB | Jimmy Crooks 10 games | STL vs MIA@STL | R | 0.5 | +150 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1505 | MLB | Jimmy Crooks 10 games | STL vs MIA@STL | RBI | 1.5 | +700 | 0.4 | -1.1 | 1/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1506 | MLB | JJ Wetherholt 10 games | STL vs MIA@STL | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1507 | MLB | JJ Wetherholt 10 games | STL vs MIA@STL | R | 0.5 | -115 | 0.2 | -0.3 | 1/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1508 | MLB | Jo Adell 10 games | LAA vs Athletics@ | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1509 | MLB | Jo Adell 10 games | LAA vs Athletics@ | R | 1.5 | +800 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1510 | MLB | Jo Adell 10 games | LAA vs Athletics@ | RBI | 0.5 | +169 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 2.0 | WIN | LOSS | |
| 1511 | MLB | Joc Pederson 10 games | TEX vs TEX@TOR | H | 1.5 | +400 | 0.6 | -0.9 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1512 | MLB | Joc Pederson 10 games | TEX vs TEX@TOR | RBI | 1.5 | +900 | 0.4 | -1.1 | 1/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1513 | MLB | Joc Pederson 10 games | TEX vs TEX@TOR | TB | 1.5 | +190 | 1.2 | -0.3 | 1/5 | -1.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1514 | MLB | Joey Ortiz 10 games | MIL vs CHC@MIL | R | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1515 | MLB | Joey Ortiz 10 games | MIL vs CHC@MIL | RBI | 0.5 | +279 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1516 | MLB | Jordan Walker 10 games | STL vs MIA@STL | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1517 | MLB | Jordan Walker 10 games | STL vs MIA@STL | R | 0.5 | +115 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1518 | MLB | Jorge Mateo 10 games | ATL vs ATL@SFG | RBI | 0.5 | +313 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1519 | MLB | Jorge Soler 10 games | LAA vs Athletics@ | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1520 | MLB | Jorge Soler 10 games | LAA vs Athletics@ | R | 1.5 | +900 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 1521 | MLB | Jorge Soler 10 games | LAA vs Athletics@ | RBI | 1.5 | +475 | 0.4 | -1.1 | 1/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1522 | MLB | Jose Caballero 10 games | NYY vs NYY@BOS | R | 1.5 | +1300 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1523 | MLB | Josh Jung 10 games | TEX vs TEX@TOR | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1524 | MLB | Josh Jung 10 games | TEX vs TEX@TOR | RBI | 0.5 | +259 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1525 | MLB | Josh Lowe 10 games | LAA vs Athletics@ | H | 1.5 | +550 | 0.8 | -0.7 | 0/5 | +0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1526 | MLB | Josh Naylor 10 games | SEA vs SEA@CLE | H | 1.5 | +240 | 0.8 | -0.7 | 0/5 | +0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1527 | MLB | Josh Naylor 10 games | SEA vs SEA@CLE | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1528 | MLB | Julio Rodriguez 10 games | SEA vs SEA@CLE | H | 1.5 | +220 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | — | PENDING | PENDING | |
| 1529 | MLB | Jung Hoo Lee 10 games | SF vs ATL@SFG | RBI | 1.5 | +700 | 0.4 | -1.1 | 1/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1530 | MLB | Junior Caminero 10 games | TB vs ARI@TBR | HR | 0.5 | +275 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1531 | MLB | Justin Crawford 10 games | PHI vs PHI@NYM | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1532 | MLB | Justin Crawford 10 games | PHI vs PHI@NYM | R | 1.5 | +1500 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1533 | MLB | Justin Crawford 10 games | PHI vs PHI@NYM | RBI | 1.5 | +1000 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1534 | MLB | Kahlil Watson 3 games | CLE vs SEA@CLE | HR | 0.5 | +650 | 0 | -0.5 | 0/3 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1535 | MLB | Kahlil Watson 3 games | CLE vs SEA@CLE | R | 0.5 | +180 | 0 | -0.5 | 0/3 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1536 | MLB | Kahlil Watson 3 games | CLE vs SEA@CLE | RBI | 0.5 | +256 | 0 | -0.5 | 0/3 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1537 | MLB | Keibert Ruiz 10 games | WSH vs WSN@BAL | RBI | 1.5 | +700 | 0.4 | -1.1 | 1/5 | -0.3 | 29 | F | — | PENDING | PENDING | |
| 1538 | MLB | Ketel Marte 10 games | AZ vs ARI@TBR | R | 1.5 | +600 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 1539 | MLB | Kyle Harrison 9 games | MIL vs CHC@MIL | K | 5.5 | -150 | 5.6 | +0.1 | 2/5 | -1.7 | 29 | F | 9.0 | WIN | LOSS | |
| 1540 | MLB | Kyle Manzardo 10 games | CLE vs SEA@CLE | R | 1.5 | +1000 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | 1.0 | LOSS | WIN | |
| 1541 | MLB | Kyle Stowers 10 games | MIA vs MIA@STL | R | 1.5 | +800 | 0.4 | -1.1 | 1/5 | +0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1542 | MLB | Kyle Tucker 10 games | LAD vs LAD@SDP | RBI | 1.5 | +500 | 0.8 | -0.7 | 1/5 | -0.6 | 29 | F | 4.0 | WIN | LOSS | |
| 1543 | MLB | Lars Nootbaar 10 games | STL vs MIA@STL | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1544 | MLB | Lars Nootbaar 10 games | STL vs MIA@STL | R | 1.5 | +800 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1545 | MLB | Leody Taveras 10 games | BAL vs WSN@BAL | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1546 | MLB | Leody Taveras 10 games | BAL vs WSN@BAL | R | 1.5 | +1000 | 0.4 | -1.1 | 1/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1547 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs ARI@TBR | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1548 | MLB | Luke Keaschall 10 games | MIN vs COL@MIN | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1549 | MLB | Luke Raley 10 games | SEA vs SEA@CLE | TB | 1.5 | +175 | 1 | -0.5 | 1/5 | -0.8 | 29 | F | 0.0 | LOSS | WIN | |
| 1550 | MLB | Masataka Yoshida 10 games | BOS vs NYY@BOS | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 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.