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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 51 | MLB | Kody Clemens 10 games | MIN vs MIN@TEX | TB | 1.5 | +125 | 2.6 | +1.1 | 3/5 | +0.4 | 61 | D | 1.0 | LOSS | WIN | |
| 52 | MLB | Noah Cameron 9 games | KC vs STL@KCR | K | 4.5 | +109 | 5.6 | +1.1 | 3/5 | +0.1 | 61 | D | 6.0 | WIN | LOSS | |
| 53 | MLB | Royce Lewis 10 games | MIN vs MIN@TEX | R | 0.5 | +135 | 1 | +0.5 | 4/5 | +0.1 | 61 | D | 0.0 | LOSS | WIN | |
| 54 | MLB | Royce Lewis 10 games | MIN vs MIN@TEX | RBI | 0.5 | +192 | 1.2 | +0.7 | 4/5 | +0.3 | 61 | D | 0.0 | LOSS | WIN | |
| 55 | MLB | Samuel Basallo 10 games | BAL vs BAL@SEA | H | 0.5 | -150 | 1.2 | +0.7 | 5/5 | +0.7 | 61 | D | 0.0 | LOSS | WIN | |
| 56 | MLB | Colson Montgomery 10 games | CWS vs CHW@NYY | TB | 1.5 | +135 | 2.8 | +1.3 | 2/5 | +2.6 | 60 | D | 5.0 | WIN | LOSS | |
| 57 | MLB | Tyler Soderstrom 10 games | ATH vs LAA@Athlet | R | 0.5 | -105 | 1 | +0.5 | 4/5 | -0.1 | 60 | D | 1.0 | WIN | LOSS | |
| 58 | MLB | Zach Neto 10 games | LAA vs LAA@Athlet | TB | 1.5 | +105 | 2.6 | +1.1 | 2/5 | +1.7 | 60 | D | 0.0 | LOSS | WIN | |
| 59 | MLB | Mike Trout 10 games | LAA vs LAA@Athlet | H | 0.5 | -220 | 1.4 | +0.9 | 5/5 | +0.7 | 59 | D | — | PENDING | PENDING | |
| 60 | MLB | Blake Perkins 10 games | MIL vs CLE@MIL | R | 0.5 | +180 | 0.8 | +0.3 | 4/5 | +0.6 | 58 | D | 0.0 | LOSS | WIN | |
| 61 | MLB | Bobby Witt Jr. 10 games | KC vs STL@KCR | H | 0.5 | -400 | 1.8 | +1.3 | 4/5 | +0 | 58 | D | 2.0 | WIN | LOSS | |
| 62 | MLB | Brandon Marsh 10 games | PHI vs NYM@PHI | TB | 1.5 | +149 | 2.2 | +0.7 | 3/5 | +0.9 | 58 | D | 0.0 | LOSS | WIN | |
| 63 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | H | 0.5 | -260 | 1.6 | +1.1 | 4/5 | -0.2 | 58 | D | 1.0 | WIN | LOSS | |
| 64 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | TB | 1.5 | +115 | 2.8 | +1.3 | 3/5 | -0.8 | 58 | D | 2.0 | WIN | LOSS | |
| 65 | MLB | Chase Meidroth 10 games | CWS vs CHW@NYY | TB | 1.5 | +135 | 2 | +0.5 | 3/5 | +0.7 | 58 | D | 1.0 | LOSS | WIN | |
| 66 | MLB | George Springer 10 games | TOR vs TOR@BOS | TB | 1.5 | +105 | 2.2 | +0.7 | 3/5 | +0.8 | 58 | D | 3.0 | WIN | LOSS | |
| 67 | MLB | Gunnar Henderson 10 games | BAL vs BAL@SEA | TB | 1.5 | +127 | 2.4 | +0.9 | 3/5 | +0.6 | 58 | D | 0.0 | LOSS | WIN | |
| 68 | MLB | Henry Bolte 10 games | ATH vs LAA@Athlet | TB | 1.5 | +185 | 2 | +0.5 | 3/5 | +0.6 | 58 | D | 1.0 | LOSS | WIN | |
| 69 | MLB | JJ Wetherholt 10 games | STL vs STL@KCR | H | 0.5 | -250 | 1.6 | +1.1 | 4/5 | -0.1 | 58 | D | 3.0 | WIN | LOSS | |
| 70 | MLB | Jo Adell 10 games | LAA vs LAA@Athlet | TB | 1.5 | +100 | 2.4 | +0.9 | 4/5 | -0.6 | 58 | D | 0.0 | LOSS | WIN | |
| 71 | MLB | Jose Caballero 10 games | NYY vs CHW@NYY | RBI | 0.5 | +225 | 1.4 | +0.9 | 3/5 | +1.4 | 58 | D | 0.0 | LOSS | WIN | |
| 72 | MLB | Juan Soto 10 games | NYM vs NYM@PHI | H | 0.5 | -250 | 1.6 | +1.1 | 4/5 | +0 | 58 | D | 2.0 | WIN | LOSS | |
| 73 | MLB | Maikel Garcia 10 games | KC vs STL@KCR | RBI | 0.5 | +181 | 1.2 | +0.7 | 3/5 | +0.8 | 58 | D | — | PENDING | PENDING | |
| 74 | MLB | Rafael Devers 10 games | SF vs SFG@ATL | TB | 1.5 | +155 | 2.4 | +0.9 | 3/5 | +1 | 58 | D | — | PENDING | PENDING | |
| 75 | MLB | Sonny Gray 8 games | BOS vs TOR@BOS | K | 5.5 | +225 | 6 | +0.5 | 3/5 | +0.7 | 58 | D | 4.0 | LOSS | WIN | |
| 76 | MLB | Willson Contreras 10 games | BOS vs TOR@BOS | H | 0.5 | -190 | 1.8 | +1.3 | 4/5 | +0.1 | 58 | D | 0.0 | LOSS | WIN | |
| 77 | MLB | Carter Jensen 10 games | KC vs STL@KCR | TB | 1.5 | +185 | 3 | +1.5 | 2/5 | +0.9 | 57 | D | 4.0 | WIN | LOSS | |
| 78 | MLB | Francisco Alvarez 10 games | NYM vs NYM@PHI | H | 0.5 | -150 | 1.2 | +0.7 | 4/5 | +0.7 | 57 | D | 1.0 | WIN | LOSS | |
| 79 | MLB | Alec Burleson 10 games | STL vs STL@KCR | H | 0.5 | -250 | 1 | +0.5 | 5/5 | -0.1 | 56 | D | 0.0 | LOSS | WIN | |
| 80 | MLB | Denzer Guzman 8 games | LAA vs LAA@Athlet | H | 0.5 | -190 | 1.4 | +0.9 | 5/5 | +0.2 | 56 | D | 0.0 | LOSS | WIN | |
| 81 | MLB | Dominic Canzone 10 games | SEA vs BAL@SEA | H | 0.5 | -165 | 1.4 | +0.9 | 5/5 | +0.2 | 56 | D | 0.0 | LOSS | WIN | |
| 82 | MLB | Isiah Kiner-Falefa 10 games | BOS vs TOR@BOS | H | 0.5 | -185 | 1.2 | +0.7 | 5/5 | +0.2 | 56 | D | 1.0 | WIN | LOSS | |
| 83 | MLB | Matt Olson 10 games | ATL vs SFG@ATL | H | 0.5 | -190 | 1.4 | +0.9 | 5/5 | +0.4 | 56 | D | — | PENDING | PENDING | |
| 84 | MLB | Michael Harris II 10 games | ATL vs SFG@ATL | H | 0.5 | -246 | 1 | +0.5 | 5/5 | -0.2 | 56 | D | — | PENDING | PENDING | |
| 85 | MLB | Nick Kurtz 10 games | ATH vs LAA@Athlet | H | 0.5 | -235 | 1.4 | +0.9 | 5/5 | +0.2 | 56 | D | 1.0 | WIN | LOSS | |
| 86 | MLB | Nick Kurtz 10 games | ATH vs LAA@Athlet | R | 0.5 | -165 | 1.2 | +0.7 | 5/5 | +0.1 | 56 | D | 1.0 | WIN | LOSS | |
| 87 | MLB | Bo Bichette 10 games | NYM vs NYM@PHI | R | 0.5 | +100 | 1.2 | +0.7 | 3/5 | +0 | 55 | D | 0.0 | LOSS | WIN | |
| 88 | MLB | Bo Bichette 10 games | NYM vs NYM@PHI | TB | 2.5 | +240 | 3 | +0.5 | 3/5 | +0.3 | 55 | D | 0.0 | LOSS | WIN | |
| 89 | MLB | Brandon Marsh 10 games | PHI vs NYM@PHI | R | 0.5 | +130 | 1 | +0.5 | 3/5 | +0.2 | 55 | D | 0.0 | LOSS | WIN | |
| 90 | MLB | Bryce Eldridge 10 games | SF vs SFG@ATL | RBI | 0.5 | +223 | 0.8 | +0.3 | 4/5 | +0 | 55 | D | — | PENDING | PENDING | |
| 91 | MLB | Bryson Stott 10 games | PHI vs NYM@PHI | TB | 1.5 | +175 | 2 | +0.5 | 3/5 | -0.1 | 55 | D | 1.0 | LOSS | WIN | |
| 92 | MLB | Byron Buxton 10 games | MIN vs MIN@TEX | H | 1.5 | +230 | 2 | +0.5 | 3/5 | +0.2 | 55 | D | 0.0 | LOSS | WIN | |
| 93 | MLB | Byron Buxton 10 games | MIN vs MIN@TEX | RBI | 0.5 | +148 | 0.8 | +0.3 | 4/5 | -0.2 | 55 | D | 0.0 | LOSS | WIN | |
| 94 | MLB | Carter Jensen 10 games | KC vs STL@KCR | R | 0.5 | +155 | 0.8 | +0.3 | 4/5 | +-0 | 55 | D | 2.0 | WIN | LOSS | |
| 95 | MLB | Casey Schmitt 10 games | SF vs SFG@ATL | H | 0.5 | -240 | 1.4 | +0.9 | 4/5 | +1 | 55 | D | — | PENDING | PENDING | |
| 96 | MLB | Cody Bellinger 10 games | NYY vs CHW@NYY | RBI | 0.5 | +135 | 1.2 | +0.7 | 3/5 | +0.4 | 55 | D | 0.0 | LOSS | WIN | |
| 97 | MLB | Jackson Chourio 10 games | MIL vs CLE@MIL | H | 0.5 | -260 | 1.6 | +1.1 | 4/5 | -0.7 | 55 | D | 0.0 | LOSS | WIN | |
| 98 | MLB | JJ Wetherholt 10 games | STL vs STL@KCR | TB | 1.5 | +115 | 2.2 | +0.7 | 3/5 | -0.4 | 55 | D | 4.0 | WIN | LOSS | |
| 99 | MLB | Jose Caballero 10 games | NYY vs CHW@NYY | R | 0.5 | +140 | 0.8 | +0.3 | 4/5 | +0.4 | 55 | D | 0.0 | LOSS | WIN | |
| 100 | MLB | Josh Bell 10 games | MIN vs MIN@TEX | H | 0.5 | -175 | 1.4 | +0.9 | 4/5 | +0.8 | 55 | D | 2.0 | 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.