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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1001 | MLB | Brandon Lowe 10 games | PIT vs PIT@CLE | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1002 | MLB | Brandon Marsh 10 games | PHI vs NYM@PHI | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1003 | MLB | Brandon Marsh 10 games | PHI vs NYM@PHI | RBI | 0.5 | +216 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1004 | MLB | Brandon Nimmo 10 games | TEX vs TEX@ATL | HR | 0.5 | +380 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1005 | MLB | Brewer Hicklen 2 games | ATL vs TEX@ATL | HR | 0.5 | +750 | 0 | -0.5 | 0/2 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1006 | MLB | Brooks Lee 10 games | MIN vs MIN@CHC | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1007 | MLB | Brooks Lee 10 games | MIN vs MIN@CHC | R | 0.5 | +160 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1008 | MLB | Brooks Lee 10 games | MIN vs MIN@CHC | TB | 1.5 | +155 | 1.2 | -0.3 | 1/5 | -0.6 | 29 | F | 1.0 | LOSS | WIN | |
| 1009 | MLB | Bryce Harper 10 games | PHI vs NYM@PHI | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1010 | MLB | Bryson Stott 10 games | PHI vs NYM@PHI | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1011 | MLB | Buddy Kennedy 9 games | SEA vs SFG@SEA | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1012 | MLB | Buddy Kennedy 9 games | SEA vs SFG@SEA | RBI | 0.5 | +300 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1013 | MLB | Buddy Kennedy 9 games | SEA vs SFG@SEA | TB | 1.5 | +260 | 0.4 | -1.1 | 1/5 | +0.4 | 29 | F | — | PENDING | PENDING | |
| 1014 | MLB | Cal Raleigh 10 games | SEA vs SFG@SEA | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1015 | MLB | Cal Raleigh 10 games | SEA vs SFG@SEA | R | 0.5 | +130 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1016 | MLB | Cal Raleigh 10 games | SEA vs SFG@SEA | RBI | 0.5 | +160 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1017 | MLB | Caleb Durbin 10 games | BOS vs TBR@BOS | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1018 | MLB | Caleb Durbin 10 games | BOS vs TBR@BOS | RBI | 0.5 | +238 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1019 | MLB | Carson Benge 10 games | NYM vs NYM@PHI | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1020 | MLB | Carson Benge 10 games | NYM vs NYM@PHI | RBI | 0.5 | +181 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 1021 | MLB | Carter Jensen 10 games | KC vs SDP@KCR | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1022 | MLB | Ceddanne Rafaela 10 games | BOS vs TBR@BOS | H | 1.5 | +203 | 0.8 | -0.7 | 0/5 | -0.3 | 29 | F | 2.0 | WIN | LOSS | |
| 1023 | MLB | Ceddanne Rafaela 10 games | BOS vs TBR@BOS | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1024 | MLB | Chandler Simpson 10 games | TB vs TBR@BOS | HR | 0.5 | +1750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1025 | MLB | Chase Meidroth 10 games | CWS vs CHW@TOR | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1026 | MLB | Chase Meidroth 10 games | CWS vs CHW@TOR | RBI | 1.5 | +900 | 0.6 | -0.9 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1027 | MLB | Christian Walker 10 games | HOU vs BAL@HOU | HR | 0.5 | +360 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1028 | MLB | Christian Walker 10 games | HOU vs BAL@HOU | RBI | 0.5 | +160 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1029 | MLB | Christian Yelich 10 games | MIL vs MIA@MIL | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1030 | MLB | CJ Abrams 10 games | WSH vs WSN@Athlet | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1031 | MLB | CJ Abrams 10 games | WSH vs WSN@Athlet | R | 0.5 | -115 | 0.2 | -0.3 | 1/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1032 | MLB | CJ Abrams 10 games | WSH vs WSN@Athlet | TB | 1.5 | +124 | 1 | -0.5 | 1/5 | -0.9 | 29 | F | 6.0 | WIN | LOSS | |
| 1033 | MLB | Cody Bellinger 10 games | NYY vs LAD@NYY | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1034 | MLB | Colby Thomas 10 games | ATH vs WSN@Athlet | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1035 | MLB | Colby Thomas 10 games | ATH vs WSN@Athlet | R | 0.5 | +135 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1036 | MLB | Colby Thomas 10 games | ATH vs WSN@Athlet | RBI | 0.5 | +223 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1037 | MLB | Cole Carrigg 10 games | COL vs CIN@COL | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1038 | MLB | Colson Montgomery 10 games | CWS vs CHW@TOR | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1039 | MLB | Colton Cowser 10 games | BAL vs BAL@HOU | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1040 | MLB | Colton Cowser 10 games | BAL vs BAL@HOU | R | 0.5 | +165 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1041 | MLB | Colton Cowser 10 games | BAL vs BAL@HOU | RBI | 0.5 | +272 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1042 | MLB | Connor Wong 10 games | BOS vs TBR@BOS | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1043 | MLB | Cooper Pratt 10 games | MIL vs MIA@MIL | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1044 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYY | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1045 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYY | RBI | 0.5 | +250 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1046 | MLB | Daniel Susac 10 games | SF vs SFG@SEA | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1047 | MLB | Daniel Susac 10 games | SF vs SFG@SEA | R | 0.5 | +230 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1048 | MLB | Dansby Swanson 10 games | CHC vs MIN@CHC | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1049 | MLB | Dansby Swanson 10 games | CHC vs MIN@CHC | RBI | 0.5 | +246 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1050 | MLB | Daulton Varsho 10 games | TOR vs CHW@TOR | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 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.