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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 901 | MLB | Andrew Benintendi 10 games | CWS vs CHW@CLE | H | 1.5 | +450 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 3.0 | WIN | LOSS | |
| 902 | MLB | Andrew Benintendi 10 games | CWS vs CHW@CLE | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 903 | MLB | Andrew Knizner 10 games | SF vs SFG@STL | H | 1.5 | +400 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 904 | MLB | Austin Riley 10 games | ATL vs ATL@CHC | RBI | 1.5 | +550 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 905 | MLB | Austin Wells 10 games | NYY vs NYY@MIN | H | 1.5 | +450 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 906 | MLB | Austin Wells 10 games | NYY vs NYY@MIN | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 907 | MLB | Ben Rice 10 games | NYY vs NYY@MIN | RBI | 1.5 | +500 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 2.0 | WIN | LOSS | |
| 908 | MLB | Braden Montgomery 10 games | CWS vs CHW@CLE | H | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 909 | MLB | Braden Montgomery 10 games | CWS vs CHW@CLE | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 910 | MLB | Brett Harris 3 games | SF vs SFG@STL | H | 1.5 | +380 | 0 | -1.5 | 0/3 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 911 | MLB | Brett Harris 3 games | SF vs SFG@STL | RBI | 1.5 | +800 | 0 | -1.5 | 0/3 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 912 | MLB | Brooks Lee 10 games | MIN vs NYY@MIN | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 913 | MLB | Bryan Torres 10 games | STL vs SFG@STL | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | — | PENDING | PENDING | |
| 914 | MLB | Cal Raleigh 10 games | SEA vs SEA@LAA | RBI | 1.5 | +475 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 3.0 | WIN | LOSS | |
| 915 | MLB | Christian Encarnacion-Strand 10 games | BAL vs BAL@NYM | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 916 | MLB | Christian Koss 10 games | SF vs SFG@STL | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 917 | MLB | Coby Mayo 10 games | BAL vs BAL@NYM | RBI | 1.5 | +500 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 918 | MLB | Cole Carrigg 10 games | COL vs SDP@COL | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 919 | MLB | Colson Montgomery 10 games | CWS vs CHW@CLE | H | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 920 | MLB | Colson Montgomery 10 games | CWS vs CHW@CLE | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 921 | MLB | Colton Cowser 10 games | BAL vs BAL@NYM | H | 1.5 | +500 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 2.0 | WIN | LOSS | |
| 922 | MLB | Denzer Guzman 10 games | LAA vs SEA@LAA | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 923 | MLB | Ernie Clement 10 games | TOR vs DET@TOR | H | 1.5 | +320 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 924 | MLB | Ernie Clement 10 games | TOR vs DET@TOR | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 925 | MLB | Ezequiel Tovar 10 games | COL vs SDP@COL | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 926 | MLB | George Lombard Jr. 10 games | NYY vs NYY@MIN | H | 1.5 | +320 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 927 | MLB | Geraldo Perdomo 10 games | AZ vs MIA@ARI | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 928 | MLB | Gleyber Torres 10 games | DET vs DET@TOR | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 929 | MLB | Gunnar Henderson 10 games | BAL vs BAL@NYM | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 930 | MLB | Hector Rodriguez 10 games | CIN vs LAD@CIN | RBI | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 931 | MLB | Heriberto Hernandez 10 games | MIA vs MIA@ARI | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 932 | MLB | Heston Kjerstad 7 games | BAL vs BAL@NYM | H | 1.5 | +450 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 2.0 | WIN | LOSS | |
| 933 | MLB | Heston Kjerstad 7 games | BAL vs BAL@NYM | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 934 | MLB | Hunter Goodman 10 games | COL vs SDP@COL | H | 1.5 | +230 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 935 | MLB | Ian Happ 10 games | CHC vs ATL@CHC | H | 1.5 | +360 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 936 | MLB | Ian Happ 10 games | CHC vs ATL@CHC | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 937 | MLB | Ivan Herrera 10 games | STL vs SFG@STL | RBI | 0.5 | +232 | 0 | -0.5 | 0/5 | -0.8 | 26 | F | 0.0 | LOSS | WIN | |
| 938 | MLB | Jackson Holliday 10 games | BAL vs BAL@NYM | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 939 | MLB | Jake Cronenworth 10 games | SD vs SDP@COL | RBI | 1.5 | +450 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 940 | MLB | Jared Young 10 games | NYM vs BAL@NYM | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 941 | MLB | JJ Bleday 10 games | CIN vs LAD@CIN | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 942 | MLB | Jonah Cox 10 games | SF vs SFG@STL | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 943 | MLB | Jordan Lawlar 10 games | AZ vs MIA@ARI | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 944 | MLB | Jordan Walker 10 games | STL vs SFG@STL | RBI | 1.5 | +475 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 945 | MLB | Jose Ramirez 10 games | CLE vs CHW@CLE | H | 1.5 | +280 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 946 | MLB | Jose Ramirez 10 games | CLE vs CHW@CLE | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 947 | MLB | Josh Bell 10 games | MIN vs NYY@MIN | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 948 | MLB | Josh Naylor 10 games | SEA vs SEA@LAA | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 949 | MLB | Josh Smith 10 games | TOR vs DET@TOR | RBI | 1.5 | +900 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 950 | MLB | Kaelen Culpepper 10 games | MIN vs NYY@MIN | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | — | PENDING | PENDING |
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.