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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 601 | MLB | Brooks Lee 10 games | MIN vs MIN@TEX | RBI | 0.5 | +236 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 3.0 | WIN | LOSS | |
| 602 | MLB | Cal Raleigh 10 games | SEA vs BAL@SEA | RBI | 0.5 | +171 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 603 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | HR | 0.5 | +900 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 604 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 605 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 606 | MLB | Carlos Cortes 10 games | ATH vs LAA@Athlet | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 607 | MLB | Carson Benge 10 games | NYM vs NYM@PHI | H | 1.5 | +200 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 3.0 | WIN | LOSS | |
| 608 | MLB | Carter Jensen 10 games | KC vs STL@KCR | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 609 | MLB | Carter Jensen 10 games | KC vs STL@KCR | RBI | 1.5 | +800 | 1.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 610 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 611 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | R | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 1.0 | LOSS | WIN | |
| 612 | MLB | Chase Meidroth 10 games | CWS vs CHW@NYY | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 613 | MLB | Cole Young 10 games | SEA vs BAL@SEA | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 614 | MLB | Cole Young 10 games | SEA vs BAL@SEA | RBI | 0.5 | +238 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 615 | MLB | Colson Montgomery 10 games | CWS vs CHW@NYY | R | 1.5 | +800 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 616 | MLB | Colton Cowser 10 games | BAL vs BAL@SEA | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 617 | MLB | Colton Cowser 10 games | BAL vs BAL@SEA | RBI | 0.5 | +285 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 618 | MLB | Connor Wong 10 games | BOS vs TOR@BOS | H | 1.5 | +380 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 619 | MLB | Connor Wong 10 games | BOS vs TOR@BOS | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | +-0 | 32 | F | 0.0 | LOSS | WIN | |
| 620 | MLB | Daniel Susac 10 games | SF vs SFG@ATL | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 621 | MLB | David Fry 10 games | CLE vs CLE@MIL | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 622 | MLB | David Hamilton 10 games | MIL vs CLE@MIL | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 623 | MLB | Derek Hill 10 games | PHI vs NYM@PHI | RBI | 0.5 | +265 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 624 | MLB | Dominic Canzone 10 games | SEA vs BAL@SEA | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 625 | MLB | Dominic Smith 10 games | ATL vs SFG@ATL | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 626 | MLB | Drake Baldwin 10 games | ATL vs SFG@ATL | H | 1.5 | +230 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 627 | MLB | Drew Gilbert 10 games | SF vs SFG@ATL | RBI | 0.5 | +373 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 628 | MLB | Edgar Quero 10 games | CWS vs CHW@NYY | H | 1.5 | +280 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 629 | MLB | Edgar Quero 10 games | CWS vs CHW@NYY | TB | 1.5 | +175 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 630 | MLB | Edmundo Sosa 10 games | PHI vs NYM@PHI | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 631 | MLB | Edmundo Sosa 10 games | PHI vs NYM@PHI | R | 1.5 | +1000 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 632 | MLB | Edmundo Sosa 10 games | PHI vs NYM@PHI | RBI | 0.5 | +222 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 633 | MLB | Ezequiel Duran 10 games | TEX vs MIN@TEX | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | -0.6 | 32 | F | 1.0 | WIN | LOSS | |
| 634 | MLB | Ezequiel Duran 10 games | TEX vs MIN@TEX | R | 0.5 | +200 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 635 | MLB | Ezequiel Duran 10 games | TEX vs MIN@TEX | RBI | 0.5 | +274 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 636 | MLB | Francisco Alvarez 10 games | NYM vs NYM@PHI | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 637 | MLB | Francisco Alvarez 10 games | NYM vs NYM@PHI | RBI | 0.5 | +225 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 638 | MLB | Francisco Alvarez 10 games | NYM vs NYM@PHI | TB | 1.5 | +165 | 1.2 | -0.3 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 639 | MLB | Garrett Mitchell 10 games | MIL vs CLE@MIL | R | 1.5 | +1500 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 640 | MLB | Garrett Mitchell 10 games | MIL vs CLE@MIL | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 641 | MLB | George Springer 10 games | TOR vs TOR@BOS | R | 1.5 | +500 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 642 | MLB | Gunnar Henderson 10 games | BAL vs BAL@SEA | R | 1.5 | +800 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 643 | MLB | Henry Bolte 10 games | ATH vs LAA@Athlet | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 644 | MLB | Henry Bolte 10 games | ATH vs LAA@Athlet | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 645 | MLB | Isiah Kiner-Falefa 10 games | BOS vs TOR@BOS | H | 1.5 | +260 | 1.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 646 | MLB | Isiah Kiner-Falefa 10 games | BOS vs TOR@BOS | R | 0.5 | +165 | 0.4 | -0.1 | 1/5 | -0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 647 | MLB | Isiah Kiner-Falefa 10 games | BOS vs TOR@BOS | TB | 1.5 | +195 | 1.2 | -0.3 | 1/5 | +0.1 | 32 | F | 4.0 | WIN | LOSS | |
| 648 | MLB | Ivan Herrera 10 games | STL vs STL@KCR | HR | 0.5 | +575 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 649 | MLB | Ivan Herrera 10 games | STL vs STL@KCR | R | 1.5 | +550 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 650 | MLB | Ivan Herrera 10 games | STL vs STL@KCR | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.3 | 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.