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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1501 | MLB | Miguel Vargas 10 games | CWS vs CHW@TEX | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1502 | MLB | Mike Trout 10 games | LAA vs STL@LAA | H | 1.5 | +240 | 0.6 | -0.9 | 0/5 | -0.5 | 29 | F | 1.0 | LOSS | WIN | |
| 1503 | MLB | Mike Trout 10 games | LAA vs STL@LAA | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1504 | MLB | Mike Trout 10 games | LAA vs STL@LAA | RBI | 0.5 | +163 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1505 | MLB | Mike Trout 10 games | LAA vs STL@LAA | TB | 1.5 | +115 | 0.8 | -0.7 | 1/5 | -1 | 29 | F | 1.0 | LOSS | WIN | |
| 1506 | MLB | Mitch Keller 9 games | PIT vs PIT@NYY | K | 4.5 | +135 | 3.8 | -0.7 | 1/5 | -1.3 | 29 | F | 6.0 | WIN | LOSS | |
| 1507 | MLB | Munetaka Murakami 10 games | CWS vs CHW@TEX | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1508 | MLB | Munetaka Murakami 10 games | CWS vs CHW@TEX | RBI | 0.5 | +162 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1509 | MLB | Nick Gonzales 10 games | PIT vs PIT@NYY | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1510 | MLB | Nick Loftin 10 games | KC vs SFG@KCR | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1511 | MLB | Nicky Lopez 10 games | TEX vs CHW@TEX | HR | 0.5 | +1400 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1512 | MLB | Nico Hoerner 10 games | CHC vs DET@CHC | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1513 | MLB | Noelvi Marte 10 games | CIN vs CIN@SEA | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1514 | MLB | Noelvi Marte 10 games | CIN vs CIN@SEA | RBI | 0.5 | +287 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | — | PENDING | PENDING | |
| 1515 | MLB | Nolan Schanuel 10 games | LAA vs STL@LAA | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1516 | MLB | Nolan Schanuel 10 games | LAA vs STL@LAA | RBI | 0.5 | +207 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1517 | MLB | Otto Lopez 10 games | MIA vs MIA@HOU | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1518 | MLB | Patrick Bailey 10 games | CLE vs MIN@CLE | R | 1.5 | +1500 | 0.4 | -1.1 | 1/5 | +0.2 | 29 | F | 1.0 | LOSS | WIN | |
| 1519 | MLB | Paul Goldschmidt 10 games | NYY vs PIT@NYY | R | 1.5 | +800 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1520 | MLB | Pete Alonso 10 games | BAL vs BAL@BOS | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1521 | MLB | Pete Crow-Armstrong 10 games | CHC vs DET@CHC | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1522 | MLB | Rafael Devers 10 games | SF vs SFG@KCR | RBI | 0.5 | +135 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1523 | MLB | Rafael Devers 10 games | SF vs SFG@KCR | TB | 1.5 | +110 | 1 | -0.5 | 1/5 | -1.1 | 29 | F | 2.0 | WIN | LOSS | |
| 1524 | MLB | Randy Arozarena 10 games | SEA vs CIN@SEA | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1525 | MLB | Randy Arozarena 10 games | SEA vs CIN@SEA | R | 1.5 | +800 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1526 | MLB | Randy Arozarena 10 games | SEA vs CIN@SEA | RBI | 0.5 | +193 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1527 | MLB | Richie Palacios 10 games | TB vs TBR@TOR | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1528 | MLB | Richie Palacios 10 games | TB vs TBR@TOR | RBI | 0.5 | +270 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1529 | MLB | Royce Lewis 10 games | MIN vs MIN@CLE | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1530 | MLB | Ryan Jeffers 6 games | MIN vs MIN@CLE | H | 1.5 | +280 | 0.8 | -0.7 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1531 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1532 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | R | 0.5 | +200 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1533 | MLB | Ryan McMahon 10 games | NYY vs PIT@NYY | H | 1.5 | +340 | 0.8 | -0.7 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1534 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@NYY | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1535 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@NYY | RBI | 0.5 | +201 | 0.4 | -0.1 | 1/5 | -1.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1536 | MLB | Ryan Waldschmidt 10 games | AZ vs Athletics@ | H | 1.5 | +400 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | 2.0 | WIN | LOSS | |
| 1537 | MLB | Ryan Waldschmidt 10 games | AZ vs Athletics@ | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1538 | MLB | Salvador Perez 10 games | KC vs SFG@KCR | H | 1.5 | +260 | 0.8 | -0.7 | 0/5 | +-0 | 29 | F | 1.0 | LOSS | WIN | |
| 1539 | MLB | Salvador Perez 10 games | KC vs SFG@KCR | R | 1.5 | +1000 | 0.8 | -0.7 | 0/5 | +0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 1540 | MLB | Samuel Basallo 10 games | BAL vs BAL@BOS | TB | 1.5 | +160 | 1 | -0.5 | 1/5 | -1 | 29 | F | — | PENDING | PENDING | |
| 1541 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | R | 1.5 | +600 | 0.6 | -0.9 | 0/5 | +0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1542 | MLB | Shohei Ohtani 10 games | LAD vs LAD@PHI | R | 1.5 | +340 | 0.4 | -1.1 | 1/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1543 | MLB | Shohei Ohtani 10 games | LAD vs LAD@PHI | RBI | 0.5 | +122 | 0.2 | -0.3 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 1544 | MLB | Spencer Steer 10 games | CIN vs CIN@SEA | R | 1.5 | +1300 | 0.4 | -1.1 | 1/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1545 | MLB | Steven Kwan 10 games | CLE vs MIN@CLE | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1546 | MLB | Taylor Trammell 10 games | HOU vs MIA@HOU | R | 0.5 | +165 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1547 | MLB | Taylor Walls 10 games | TB vs TBR@TOR | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1548 | MLB | Taylor Walls 10 games | TB vs TBR@TOR | RBI | 0.5 | +260 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1549 | MLB | Taylor Ward 10 games | BAL vs BAL@BOS | R | 1.5 | +550 | 0.8 | -0.7 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1550 | MLB | Taylor Ward 10 games | BAL vs BAL@BOS | RBI | 1.5 | +700 | 0.4 | -1.1 | 1/5 | -0.4 | 29 | 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.