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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MLB | Paul Goldschmidt 10 games | NYY vs CHW@NYY | TB | 1.5 | +130 | 3.6 | +2.1 | 4/5 | +1.5 | 79 | B | 1.0 | LOSS | WIN | |
| 2 | MLB | Zack Gelof 10 games | ATH vs LAA@Athlet | TB | 1.5 | +160 | 3.8 | +2.3 | 4/5 | +0.3 | 73 | C | 1.0 | LOSS | WIN | |
| 3 | MLB | Bo Bichette 10 games | NYM vs NYM@PHI | TB | 1.5 | -105 | 3 | +1.5 | 5/5 | +0.3 | 70 | C | 0.0 | LOSS | WIN | |
| 4 | MLB | Byron Buxton 10 games | MIN vs MIN@TEX | TB | 1.5 | +100 | 4.4 | +2.9 | 4/5 | -0.6 | 70 | C | 0.0 | LOSS | WIN | |
| 5 | MLB | Gabriel Arias 1 games | CLE vs CLE@MIL | H | 0.5 | -110 | 2 | +1.5 | 1/1 | +0 | 70 | C | 1.0 | WIN | LOSS | |
| 6 | MLB | Willson Contreras 10 games | BOS vs TOR@BOS | TB | 1.5 | +130 | 4 | +2.5 | 3/5 | +0.6 | 70 | C | 0.0 | LOSS | WIN | |
| 7 | MLB | Bo Bichette 10 games | NYM vs NYM@PHI | H | 1.5 | +165 | 2.4 | +0.9 | 5/5 | +1 | 68 | C | 0.0 | LOSS | WIN | |
| 8 | MLB | Carter Jensen 10 games | KC vs STL@KCR | H | 0.5 | -142 | 1.8 | +1.3 | 5/5 | +0.7 | 67 | C | 2.0 | WIN | LOSS | |
| 9 | MLB | Jackson Chourio 10 games | MIL vs CLE@MIL | RBI | 0.5 | +189 | 1.6 | +1.1 | 4/5 | -0.2 | 67 | C | 0.0 | LOSS | WIN | |
| 10 | MLB | Joe Ryan 10 games | MIN vs MIN@TEX | K | 5.5 | -300 | 8 | +2.5 | 4/5 | +0.9 | 67 | C | 7.0 | WIN | LOSS | |
| 11 | MLB | Joe Ryan 10 games | MIN vs MIN@TEX | K | 6.5 | -118 | 8 | +1.5 | 4/5 | +0.9 | 67 | C | 7.0 | WIN | LOSS | |
| 12 | MLB | Jose Caballero 10 games | NYY vs CHW@NYY | TB | 1.5 | +185 | 2.6 | +1.1 | 3/5 | +1.6 | 67 | C | 1.0 | LOSS | WIN | |
| 13 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@Athlet | TB | 1.5 | +140 | 3 | +1.5 | 4/5 | +0.4 | 67 | C | 0.0 | LOSS | WIN | |
| 14 | MLB | Mike Trout 10 games | LAA vs LAA@Athlet | TB | 1.5 | +120 | 3 | +1.5 | 3/5 | +1.9 | 67 | C | — | PENDING | PENDING | |
| 15 | MLB | Paul Goldschmidt 10 games | NYY vs CHW@NYY | RBI | 0.5 | +135 | 1.6 | +1.1 | 4/5 | +0.4 | 67 | C | 0.0 | LOSS | WIN | |
| 16 | MLB | Sonny Gray 8 games | BOS vs TOR@BOS | K | 3.5 | -210 | 6 | +2.5 | 4/5 | +0.7 | 67 | C | 4.0 | WIN | LOSS | |
| 17 | MLB | Byron Buxton 10 games | MIN vs MIN@TEX | R | 0.5 | -110 | 1.6 | +1.1 | 4/5 | +0.2 | 66 | C | 0.0 | LOSS | WIN | |
| 18 | MLB | Austin Hedges 9 games | CLE vs CLE@MIL | H | 0.5 | +113 | 1.4 | +0.9 | 5/5 | +0.3 | 65 | C | 0.0 | LOSS | WIN | |
| 19 | MLB | Bo Bichette 10 games | NYM vs NYM@PHI | H | 0.5 | -350 | 2.4 | +1.9 | 5/5 | +1 | 65 | C | 0.0 | LOSS | WIN | |
| 20 | MLB | Gabriel Arias 1 games | CLE vs CLE@MIL | H | 1.5 | +475 | 2 | +0.5 | 1/1 | +0 | 65 | C | 1.0 | LOSS | WIN | |
| 21 | MLB | Gabriel Arias 1 games | CLE vs CLE@MIL | RBI | 0.5 | +287 | 1 | +0.5 | 1/1 | +0 | 65 | C | 0.0 | LOSS | WIN | |
| 22 | MLB | Gabriel Arias 1 games | CLE vs CLE@MIL | TB | 1.5 | +230 | 2 | +0.5 | 1/1 | +0 | 65 | C | 1.0 | LOSS | WIN | |
| 23 | MLB | Matthew Liberatore 10 games | STL vs STL@KCR | K | 3.5 | -220 | 6.2 | +2.7 | 5/5 | -1.3 | 65 | C | 2.0 | LOSS | WIN | |
| 24 | MLB | Michael Harris II 10 games | ATL vs SFG@ATL | R | 0.5 | +105 | 1 | +0.5 | 5/5 | +0.3 | 65 | C | — | PENDING | PENDING | |
| 25 | MLB | Paul Goldschmidt 10 games | NYY vs CHW@NYY | H | 0.5 | -220 | 1.8 | +1.3 | 5/5 | +0.7 | 65 | C | 1.0 | WIN | LOSS | |
| 26 | MLB | Sean Burke 10 games | CWS vs CHW@NYY | K | 4.5 | -200 | 6.4 | +1.9 | 5/5 | +0.7 | 65 | C | 8.0 | WIN | LOSS | |
| 27 | MLB | Zack Gelof 10 games | ATH vs LAA@Athlet | R | 0.5 | +110 | 1.4 | +0.9 | 5/5 | +0 | 65 | C | 1.0 | WIN | LOSS | |
| 28 | MLB | Blaze Alexander 10 games | BAL vs BAL@SEA | H | 0.5 | -120 | 1.8 | +1.3 | 4/5 | +0.3 | 64 | D | 0.0 | LOSS | WIN | |
| 29 | MLB | Cody Bellinger 10 games | NYY vs CHW@NYY | TB | 1.5 | +119 | 3 | +1.5 | 3/5 | +0.9 | 64 | D | 0.0 | LOSS | WIN | |
| 30 | MLB | Jackson Chourio 10 games | MIL vs CLE@MIL | TB | 1.5 | +111 | 4 | +2.5 | 3/5 | -0.7 | 64 | D | 0.0 | LOSS | WIN | |
| 31 | MLB | Joe Ryan 10 games | MIN vs MIN@TEX | K | 7.5 | +165 | 8 | +0.5 | 4/5 | +0.9 | 64 | D | 7.0 | LOSS | WIN | |
| 32 | MLB | Josh Bell 10 games | MIN vs MIN@TEX | TB | 1.5 | +150 | 2.4 | +0.9 | 4/5 | +1 | 64 | D | 2.0 | WIN | LOSS | |
| 33 | MLB | Lane Thomas 10 games | KC vs STL@KCR | TB | 1.5 | +135 | 2.6 | +1.1 | 3/5 | +1.3 | 64 | D | 3.0 | WIN | LOSS | |
| 34 | MLB | Luis Arraez 10 games | SF vs SFG@ATL | TB | 1.5 | +129 | 2.6 | +1.1 | 3/5 | +0.6 | 64 | D | — | PENDING | PENDING | |
| 35 | MLB | Luke Keaschall 10 games | MIN vs MIN@TEX | R | 0.5 | +160 | 1 | +0.5 | 4/5 | +0.5 | 64 | D | 1.0 | WIN | LOSS | |
| 36 | MLB | Noah Cameron 9 games | KC vs STL@KCR | K | 3.5 | -250 | 5.6 | +2.1 | 4/5 | +0.1 | 64 | D | 6.0 | WIN | LOSS | |
| 37 | MLB | Sean Burke 10 games | CWS vs CHW@NYY | K | 5.5 | +119 | 6.4 | +0.9 | 4/5 | +0.7 | 64 | D | 8.0 | WIN | LOSS | |
| 38 | MLB | Sonny Gray 8 games | BOS vs TOR@BOS | K | 4.5 | +110 | 6 | +1.5 | 3/5 | +0.7 | 64 | D | 4.0 | LOSS | WIN | |
| 39 | MLB | Zack Gelof 10 games | ATH vs LAA@Athlet | RBI | 0.5 | +165 | 1.2 | +0.7 | 4/5 | +0.5 | 64 | D | 0.0 | LOSS | WIN | |
| 40 | MLB | Cody Bellinger 10 games | NYY vs CHW@NYY | R | 0.5 | -105 | 1.2 | +0.7 | 4/5 | +0.5 | 63 | D | 0.0 | LOSS | WIN | |
| 41 | MLB | Bryce Eldridge 10 games | SF vs SFG@ATL | H | 0.5 | -165 | 1.6 | +1.1 | 5/5 | -0.1 | 62 | D | — | PENDING | PENDING | |
| 42 | MLB | Byron Buxton 10 games | MIN vs MIN@TEX | H | 0.5 | -220 | 2 | +1.5 | 5/5 | +0.2 | 62 | D | 0.0 | LOSS | WIN | |
| 43 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@Athlet | H | 0.5 | -180 | 1.8 | +1.3 | 5/5 | +0.5 | 62 | D | 0.0 | LOSS | WIN | |
| 44 | MLB | Zack Gelof 10 games | ATH vs LAA@Athlet | H | 0.5 | -175 | 1.8 | +1.3 | 5/5 | +0.2 | 62 | D | 1.0 | WIN | LOSS | |
| 45 | MLB | Blaze Alexander 10 games | BAL vs BAL@SEA | TB | 1.5 | +240 | 2.2 | +0.7 | 4/5 | -0.1 | 61 | D | 0.0 | LOSS | WIN | |
| 46 | MLB | Bryce Eldridge 10 games | SF vs SFG@ATL | TB | 1.5 | +160 | 2.8 | +1.3 | 3/5 | -0.5 | 61 | D | — | PENDING | PENDING | |
| 47 | MLB | Carter Jensen 10 games | KC vs STL@KCR | RBI | 0.5 | +245 | 1.2 | +0.7 | 4/5 | -0.2 | 61 | D | 1.0 | WIN | LOSS | |
| 48 | MLB | Christian Yelich 10 games | MIL vs CLE@MIL | R | 0.5 | +145 | 1 | +0.5 | 4/5 | -0.1 | 61 | D | 0.0 | LOSS | WIN | |
| 49 | MLB | Cody Bellinger 10 games | NYY vs CHW@NYY | H | 0.5 | -220 | 1.6 | +1.1 | 4/5 | +0.7 | 61 | D | 0.0 | LOSS | WIN | |
| 50 | MLB | Josh Bell 10 games | MIN vs MIN@TEX | RBI | 0.5 | +200 | 1.4 | +0.9 | 4/5 | +0.5 | 61 | D | 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.