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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 651 | MLB | J.P. Crawford 10 games | SEA vs BAL@SEA | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 652 | MLB | J.P. Crawford 10 games | SEA vs BAL@SEA | RBI | 0.5 | +256 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 653 | MLB | Jac Caglianone 10 games | KC vs STL@KCR | H | 1.5 | +260 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 654 | MLB | Jac Caglianone 10 games | KC vs STL@KCR | RBI | 0.5 | +174 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 2.0 | WIN | LOSS | |
| 655 | MLB | Jack Leiter 10 games | TEX vs MIN@TEX | K | 5.5 | +102 | 4.8 | -0.7 | 1/5 | -0.5 | 32 | F | 4.0 | LOSS | WIN | |
| 656 | MLB | Jackson Chourio 10 games | MIL vs CLE@MIL | R | 1.5 | +550 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 657 | MLB | Jackson Holliday 10 games | BAL vs BAL@SEA | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 658 | MLB | Jackson Holliday 10 games | BAL vs BAL@SEA | R | 0.5 | +200 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 659 | MLB | Jackson Holliday 10 games | BAL vs BAL@SEA | TB | 1.5 | +225 | 0.8 | -0.7 | 1/5 | +0 | 32 | F | 2.0 | WIN | LOSS | |
| 660 | MLB | Jacob Wilson 10 games | ATH vs LAA@Athlet | TB | 1.5 | +125 | 1 | -0.5 | 1/5 | +0 | 32 | F | 1.0 | LOSS | WIN | |
| 661 | MLB | Jake Burger 10 games | TEX vs MIN@TEX | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 662 | MLB | Jake Burger 10 games | TEX vs MIN@TEX | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 663 | MLB | Jake Burger 10 games | TEX vs MIN@TEX | RBI | 0.5 | +223 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 664 | MLB | Jared Young 10 games | NYM vs NYM@PHI | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 665 | MLB | Jared Young 10 games | NYM vs NYM@PHI | RBI | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 666 | MLB | Jarren Duran 10 games | BOS vs TOR@BOS | H | 1.5 | +300 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 667 | MLB | Jarren Duran 10 games | BOS vs TOR@BOS | RBI | 1.5 | +500 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 668 | MLB | Jasson Domínguez 10 games | NYY vs CHW@NYY | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 669 | MLB | Jasson Domínguez 10 games | NYY vs CHW@NYY | RBI | 0.5 | +188 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 670 | MLB | Jazz Chisholm Jr. 10 games | NYY vs CHW@NYY | HR | 0.5 | +325 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 671 | MLB | Jazz Chisholm Jr. 10 games | NYY vs CHW@NYY | RBI | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 672 | MLB | Jazz Chisholm Jr. 10 games | NYY vs CHW@NYY | TB | 1.5 | +130 | 1.2 | -0.3 | 1/5 | +-0 | 32 | F | 0.0 | LOSS | WIN | |
| 673 | MLB | Jeff McNeil 10 games | ATH vs LAA@Athlet | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 674 | MLB | JJ Wetherholt 10 games | STL vs STL@KCR | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 675 | MLB | Joc Pederson 10 games | TEX vs MIN@TEX | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 676 | MLB | Joc Pederson 10 games | TEX vs MIN@TEX | RBI | 0.5 | +244 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 677 | MLB | Joey Ortiz 10 games | MIL vs CLE@MIL | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 678 | MLB | Jonah Cox 8 games | SF vs SFG@ATL | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 679 | MLB | Jonah Cox 8 games | SF vs SFG@ATL | R | 0.5 | +180 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 680 | MLB | Jordan Walker 10 games | STL vs STL@KCR | H | 1.5 | +200 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 681 | MLB | Jordan Walker 10 games | STL vs STL@KCR | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 682 | MLB | Jordan Walker 10 games | STL vs STL@KCR | R | 0.5 | +110 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 683 | MLB | Jose Siri 10 games | LAA vs LAA@Athlet | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 684 | MLB | Jose Siri 10 games | LAA vs LAA@Athlet | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 685 | MLB | Jose Siri 10 games | LAA vs LAA@Athlet | RBI | 0.5 | +230 | 0.4 | -0.1 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 686 | MLB | Josh Bell 10 games | MIN vs MIN@TEX | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 687 | MLB | Josh Bell 10 games | MIN vs MIN@TEX | R | 1.5 | +1000 | 0.6 | -0.9 | 0/5 | +0.5 | 32 | F | 1.0 | LOSS | WIN | |
| 688 | MLB | Josh Jung 10 games | TEX vs MIN@TEX | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 689 | MLB | Josh Naylor 10 games | SEA vs BAL@SEA | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 690 | MLB | Josh Naylor 10 games | SEA vs BAL@SEA | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 691 | MLB | Juan Soto 10 games | NYM vs NYM@PHI | R | 1.5 | +450 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 692 | MLB | Julio Rodriguez 10 games | SEA vs BAL@SEA | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 693 | MLB | Julio Rodriguez 10 games | SEA vs BAL@SEA | RBI | 1.5 | +500 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 694 | MLB | Jung Hoo Lee 10 games | SF vs SFG@ATL | H | 1.5 | +230 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 695 | MLB | Jung Hoo Lee 10 games | SF vs SFG@ATL | HR | 0.5 | +1400 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 696 | MLB | Jung Hoo Lee 10 games | SF vs SFG@ATL | RBI | 0.5 | +220 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 697 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | H | 1.5 | +280 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 698 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | RBI | 1.5 | +500 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 699 | MLB | Kyle Higashioka 9 games | TEX vs MIN@TEX | H | 1.5 | +500 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 700 | MLB | Kyle Higashioka 9 games | TEX vs MIN@TEX | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN |
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.