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 | Fernando Tatis Jr. 10 games | SD vs MIL@SDP | TB | 1.5 | +125 | 3.6 | +2.1 | 4/5 | +1.7 | 79 | B | 0.0 | LOSS | WIN | |
| 2 | MLB | Jake McCarthy 10 games | COL vs COL@ARI | TB | 1.5 | +120 | 4.2 | +2.7 | 4/5 | +2.7 | 79 | B | 1.0 | LOSS | WIN | |
| 3 | MLB | Noah Cameron 10 games | KC vs KCR@LAD | K | 3.5 | -400 | 6.8 | +3.3 | 4/5 | +2.7 | 75 | B | 2.0 | LOSS | WIN | |
| 4 | MLB | Carson Benge 10 games | NYM vs NYM@ATL | TB | 1.5 | +145 | 3.4 | +1.9 | 5/5 | +0.6 | 74 | C | 0.0 | LOSS | WIN | |
| 5 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TOR | RBI | 0.5 | +121 | 1.8 | +1.3 | 5/5 | +0.9 | 74 | C | 0.0 | LOSS | WIN | |
| 6 | MLB | Noah Cameron 10 games | KC vs KCR@LAD | K | 5.5 | +145 | 6.8 | +1.3 | 4/5 | +2.7 | 73 | C | 2.0 | LOSS | WIN | |
| 7 | MLB | Noah Cameron 10 games | KC vs KCR@LAD | K | 4.5 | -146 | 6.8 | +2.3 | 4/5 | +2.7 | 72 | C | 2.0 | LOSS | WIN | |
| 8 | MLB | Jake McCarthy 10 games | COL vs COL@ARI | H | 1.5 | +200 | 2.6 | +1.1 | 4/5 | +1.3 | 70 | C | 1.0 | LOSS | WIN | |
| 9 | MLB | Trevor Rogers 9 games | BAL vs BAL@MIN | K | 5.5 | +140 | 6.6 | +1.1 | 4/5 | +1 | 70 | C | 4.0 | LOSS | WIN | |
| 10 | MLB | Trevor Rogers 9 games | BAL vs BAL@MIN | K | 4.5 | -145 | 6.6 | +2.1 | 4/5 | +1 | 69 | C | 4.0 | LOSS | WIN | |
| 11 | MLB | Carson Benge 10 games | NYM vs NYM@ATL | RBI | 0.5 | +188 | 1.2 | +0.7 | 5/5 | +0.7 | 68 | C | 0.0 | LOSS | WIN | |
| 12 | MLB | Jose Siri 10 games | LAA vs TEX@LAA | TB | 1.5 | +220 | 2.6 | +1.1 | 3/5 | +1.6 | 67 | C | 0.0 | LOSS | WIN | |
| 13 | MLB | Masataka Yoshida 10 games | BOS vs BOS@TOR | TB | 1.5 | +146 | 2.8 | +1.3 | 4/5 | +0.2 | 67 | C | 0.0 | LOSS | WIN | |
| 14 | MLB | Carson Benge 10 games | NYM vs NYM@ATL | H | 0.5 | -210 | 1.8 | +1.3 | 5/5 | +0.8 | 65 | C | 0.0 | LOSS | WIN | |
| 15 | MLB | Fernando Tatis Jr. 10 games | SD vs MIL@SDP | R | 0.5 | +120 | 1.2 | +0.7 | 5/5 | +0 | 65 | C | 0.0 | LOSS | WIN | |
| 16 | MLB | Jonah Bride 1 games | TEX vs TEX@LAA | H | 0.5 | +111 | 1 | +0.5 | 1/1 | +0 | 65 | C | 0.0 | LOSS | WIN | |
| 17 | MLB | Kaelen Culpepper 2 games | MIN vs BAL@MIN | R | 0.5 | +175 | 1 | +0.5 | 2/2 | +0 | 65 | C | 0.0 | LOSS | WIN | |
| 18 | MLB | Jordan Beck 4 games | COL vs COL@ARI | H | 0.5 | -109 | 1 | +0.5 | 4/4 | +0 | 64 | D | 0.0 | LOSS | WIN | |
| 19 | MLB | Jordan Walker 10 games | STL vs PHI@STL | TB | 1.5 | +110 | 2.2 | +0.7 | 4/5 | +0.7 | 64 | D | 1.0 | LOSS | WIN | |
| 20 | MLB | Kyle Tucker 10 games | LAD vs KCR@LAD | TB | 1.5 | +155 | 2.8 | +1.3 | 3/5 | +0.9 | 64 | D | 0.0 | LOSS | WIN | |
| 21 | MLB | Willi Castro 10 games | COL vs COL@ARI | TB | 1.5 | +175 | 2.6 | +1.1 | 4/5 | -1.1 | 64 | D | 1.0 | LOSS | WIN | |
| 22 | MLB | Gabriel Hughes 6 games | COL vs COL@ARI | K | 3.5 | -122 | 5.4 | +1.9 | 4/5 | +0 | 62 | D | 3.0 | LOSS | WIN | |
| 23 | MLB | Andrew Vaughn 10 games | MIL vs MIL@SDP | RBI | 0.5 | +233 | 1 | +0.5 | 4/5 | +0.1 | 61 | D | 0.0 | LOSS | WIN | |
| 24 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TOR | RBI | 0.5 | +215 | 1.2 | +0.7 | 4/5 | -0.1 | 61 | D | 0.0 | LOSS | WIN | |
| 25 | MLB | Caleb Durbin 10 games | BOS vs BOS@TOR | RBI | 0.5 | +195 | 1 | +0.5 | 4/5 | +0 | 61 | D | 0.0 | LOSS | WIN | |
| 26 | MLB | Carter Jensen 10 games | KC vs KCR@LAD | R | 0.5 | +200 | 1 | +0.5 | 4/5 | +0.4 | 61 | D | 0.0 | LOSS | WIN | |
| 27 | MLB | Ernie Clement 10 games | TOR vs BOS@TOR | TB | 1.5 | +170 | 2 | +0.5 | 4/5 | +0.2 | 61 | D | 0.0 | LOSS | WIN | |
| 28 | MLB | Gabriel Hughes 6 games | COL vs COL@ARI | K | 4.5 | +180 | 5.4 | +0.9 | 4/5 | +0 | 61 | D | 3.0 | LOSS | WIN | |
| 29 | MLB | Masataka Yoshida 10 games | BOS vs BOS@TOR | RBI | 0.5 | +198 | 1.2 | +0.7 | 4/5 | +0.3 | 61 | D | 0.0 | LOSS | WIN | |
| 30 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TOR | R | 0.5 | -110 | 1.4 | +0.9 | 4/5 | -0.4 | 60 | D | 0.0 | LOSS | WIN | |
| 31 | MLB | Fernando Tatis Jr. 10 games | SD vs MIL@SDP | H | 0.5 | -210 | 1.4 | +0.9 | 5/5 | +0.7 | 59 | D | 0.0 | LOSS | WIN | |
| 32 | MLB | Andy Pages 10 games | LAD vs KCR@LAD | TB | 1.5 | +115 | 2 | +0.5 | 3/5 | +1.2 | 58 | D | 0.0 | LOSS | WIN | |
| 33 | MLB | Brice Turang 10 games | MIL vs MIL@SDP | RBI | 0.5 | +263 | 1 | +0.5 | 3/5 | +0.5 | 58 | D | 0.0 | LOSS | WIN | |
| 34 | MLB | Fernando Tatis Jr. 10 games | SD vs MIL@SDP | RBI | 0.5 | +206 | 1 | +0.5 | 3/5 | +0.8 | 58 | D | 0.0 | LOSS | WIN | |
| 35 | MLB | Ivan Herrera 10 games | STL vs PHI@STL | RBI | 0.5 | +193 | 0.8 | +0.3 | 4/5 | +0.6 | 58 | D | 0.0 | LOSS | WIN | |
| 36 | MLB | Jake McCarthy 10 games | COL vs COL@ARI | R | 0.5 | +125 | 1.4 | +0.9 | 3/5 | +0.6 | 58 | D | 0.0 | LOSS | WIN | |
| 37 | MLB | Marcus Semien 10 games | NYM vs NYM@ATL | RBI | 0.5 | +232 | 1.2 | +0.7 | 3/5 | +0.7 | 58 | D | 0.0 | LOSS | WIN | |
| 38 | MLB | Masataka Yoshida 10 games | BOS vs BOS@TOR | H | 0.5 | -208 | 1.6 | +1.1 | 4/5 | +0.1 | 58 | D | 0.0 | LOSS | WIN | |
| 39 | MLB | Matt Olson 10 games | ATL vs NYM@ATL | TB | 1.5 | +120 | 2.8 | +1.3 | 3/5 | -0.5 | 58 | D | 1.0 | LOSS | WIN | |
| 40 | MLB | Starling Marte 10 games | KC vs KCR@LAD | RBI | 0.5 | +400 | 1 | +0.5 | 3/5 | +0.8 | 58 | D | 0.0 | LOSS | WIN | |
| 41 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TOR | TB | 1.5 | +100 | 3.4 | +1.9 | 3/5 | -1.4 | 58 | D | 0.0 | LOSS | WIN | |
| 42 | MLB | Jose Siri 10 games | LAA vs TEX@LAA | H | 0.5 | -102 | 1 | +0.5 | 3/5 | +0.7 | 57 | D | 0.0 | LOSS | WIN | |
| 43 | MLB | Kyle Tucker 10 games | LAD vs KCR@LAD | H | 0.5 | -162 | 1.2 | +0.7 | 5/5 | +0 | 56 | D | 0.0 | LOSS | WIN | |
| 44 | MLB | Tim Tawa 10 games | AZ vs COL@ARI | H | 0.5 | -165 | 1.4 | +0.9 | 5/5 | -0.1 | 56 | D | 0.0 | LOSS | WIN | |
| 45 | MLB | Brice Turang 10 games | MIL vs MIL@SDP | H | 0.5 | -185 | 1.4 | +0.9 | 4/5 | +0.9 | 55 | D | 0.0 | LOSS | WIN | |
| 46 | MLB | Bryson Stott 10 games | PHI vs PHI@STL | R | 0.5 | +130 | 0.8 | +0.3 | 4/5 | +0.3 | 55 | D | 0.0 | LOSS | WIN | |
| 47 | MLB | Jacob Lopez 6 games | ATH vs TBR@Athlet | K | 5.5 | +230 | 5.6 | +0.1 | 3/5 | +1.7 | 55 | D | 5.0 | LOSS | WIN | |
| 48 | MLB | Masataka Yoshida 10 games | BOS vs BOS@TOR | H | 1.5 | +240 | 1.6 | +0.1 | 4/5 | +0.1 | 55 | D | 0.0 | LOSS | WIN | |
| 49 | MLB | Masataka Yoshida 10 games | BOS vs BOS@TOR | R | 0.5 | +143 | 0.8 | +0.3 | 4/5 | +0.1 | 55 | D | 0.0 | LOSS | WIN | |
| 50 | MLB | Nathan Lukes 10 games | TOR vs BOS@TOR | H | 0.5 | -208 | 1.4 | +0.9 | 4/5 | +1.3 | 55 | D | 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.