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 | Christian Yelich 10 games | MIL vs MIA@MIL | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 2.0 | WIN | LOSS | |
| 1002 | MLB | CJ Abrams 10 games | WSH vs WSN@ATHLET | RBI | 1.5 | +400 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1003 | MLB | Coby Mayo 10 games | BAL vs BAL@HOU | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1004 | MLB | Cole Carrigg 10 games | COL vs CIN@COL | H | 1.5 | +190 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 2.0 | WIN | LOSS | |
| 1005 | MLB | Cole Young 10 games | SEA vs SFG@SEA | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 3.0 | WIN | LOSS | |
| 1006 | MLB | Colt Emerson 10 games | SEA vs SFG@SEA | H | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1007 | MLB | Colt Emerson 10 games | SEA vs SFG@SEA | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1008 | MLB | Colt Keith 10 games | DET vs DET@LAA | H | 1.5 | +260 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 4.0 | WIN | LOSS | |
| 1009 | MLB | Colt Keith 10 games | DET vs DET@LAA | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 2.0 | WIN | LOSS | |
| 1010 | MLB | Colton Cowser 10 games | BAL vs BAL@HOU | H | 1.5 | +450 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1011 | MLB | Colton Cowser 10 games | BAL vs BAL@HOU | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1012 | MLB | Corbin Carroll 10 games | AZ vs STL@ARI | H | 1.5 | +230 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1013 | MLB | Daniel Susac 10 games | SF vs SFG@SEA | H | 0.5 | -115 | 0 | -0.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1014 | MLB | Daniel Susac 10 games | SF vs SFG@SEA | H | 1.5 | +450 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1015 | MLB | Daniel Susac 10 games | SF vs SFG@SEA | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1016 | MLB | Dansby Swanson 10 games | CHC vs MIN@CHC | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1017 | MLB | Daulton Varsho 10 games | TOR vs CHW@TOR | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1018 | MLB | Denzer Guzman 10 games | LAA vs DET@LAA | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1019 | MLB | Dillon Dingler 10 games | DET vs DET@LAA | RBI | 1.5 | +475 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1020 | MLB | Drew Gilbert 10 games | SF vs SFG@SEA | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1021 | MLB | Dylan Beavers 10 games | BAL vs BAL@HOU | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1022 | MLB | Dylan Crews 10 games | WSH vs WSN@ATHLET | H | 1.5 | +230 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1023 | MLB | Dylan Crews 10 games | WSH vs WSN@ATHLET | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1024 | MLB | Gabriel Arias 10 games | CLE vs PIT@CLE | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1025 | MLB | Garrett Mitchell 10 games | MIL vs MIA@MIL | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 2.0 | WIN | LOSS | |
| 1026 | MLB | Geraldo Perdomo 10 games | AZ vs STL@ARI | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1027 | MLB | Heliot Ramos 10 games | SF vs SFG@SEA | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1028 | MLB | Henry Bolte 10 games | OAK vs WSN@ATHLET | H | 1.5 | +240 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 1029 | MLB | Henry Bolte 10 games | OAK vs WSN@ATHLET | RBI | 1.5 | +550 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1030 | MLB | Ian Happ 10 games | CHC vs MIN@CHC | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1031 | MLB | Ivan Herrera 10 games | STL vs STL@ARI | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1032 | MLB | Jackson Chourio 10 games | MIL vs MIA@MIL | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1033 | MLB | Jackson Holliday 10 games | BAL vs BAL@HOU | H | 1.5 | +475 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1034 | MLB | Jackson Holliday 10 games | BAL vs BAL@HOU | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1035 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@CLE | RBI | 0.5 | +295 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1036 | MLB | Jacob Wilson 10 games | OAK vs WSN@ATHLET | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | +0 | 26 | F | 2.0 | WIN | LOSS | |
| 1037 | MLB | Jacob Young 10 games | WSH vs WSN@ATHLET | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | — | PENDING | PENDING | |
| 1038 | MLB | Jakob Marsee 10 games | MIA vs MIA@MIL | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 1039 | MLB | James Outman 10 games | DET vs DET@LAA | H | 1.5 | +500 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1040 | MLB | Javier Sanoja 10 games | MIA vs MIA@MIL | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1041 | MLB | Jeff McNeil 10 games | OAK vs WSN@ATHLET | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 2.0 | WIN | LOSS | |
| 1042 | MLB | Jeremy Pena 10 games | HOU vs BAL@HOU | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1043 | MLB | JJ Wetherholt 10 games | STL vs STL@ARI | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1044 | MLB | Joe Mack 10 games | MIA vs MIA@MIL | H | 1.5 | +400 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1045 | MLB | Joe Mack 10 games | MIA vs MIA@MIL | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1046 | MLB | Joey Ortiz 10 games | MIL vs MIA@MIL | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1047 | MLB | Jonah Heim 10 games | OAK vs WSN@ATHLET | RBI | 0.5 | +148 | 0 | -0.5 | 0/5 | -0.9 | 26 | F | 1.0 | WIN | LOSS | |
| 1048 | MLB | Jose Altuve 10 games | HOU vs BAL@HOU | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1049 | MLB | Josh Bell 10 games | MIN vs MIN@CHC | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1050 | MLB | Josh Kuroda-Grauer 10 games | vs WSN@ATHLET | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | +0 | 26 | F | 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.