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 | Noelvi Marte 8 games | CIN vs NYM@CIN | H | 1.5 | +280 | 1.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 902 | MLB | Noelvi Marte 8 games | CIN vs NYM@CIN | RBI | 1.5 | +700 | 0.6 | -0.9 | 0/5 | +0.6 | 32 | F | 0.0 | LOSS | WIN | |
| 903 | MLB | Nolan Arenado 10 games | AZ vs LAA@ARI | RBI | 0.5 | +155 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 904 | MLB | Nolan Schanuel 10 games | LAA vs LAA@ARI | H | 1.5 | +220 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 905 | MLB | Nolan Schanuel 10 games | LAA vs LAA@ARI | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 906 | MLB | Nolan Schanuel 10 games | LAA vs LAA@ARI | RBI | 0.5 | +198 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 907 | MLB | Orlando Arcia 10 games | MIN vs MIN@TEX | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 908 | MLB | Orlando Arcia 10 games | MIN vs MIN@TEX | RBI | 0.5 | +280 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 909 | MLB | Orlando Arcia 10 games | MIN vs MIN@TEX | TB | 1.5 | +220 | 1 | -0.5 | 1/5 | -0.5 | 32 | F | — | PENDING | PENDING | |
| 910 | MLB | Oswald Peraza 10 games | LAA vs LAA@ARI | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 911 | MLB | Oswald Peraza 10 games | LAA vs LAA@ARI | TB | 1.5 | +150 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 912 | MLB | Otto Lopez 10 games | MIA vs MIA@PHI | RBI | 1.5 | +900 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 913 | MLB | Owen Caissie 10 games | MIA vs MIA@PHI | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 914 | MLB | Owen Caissie 10 games | MIA vs MIA@PHI | R | 0.5 | +230 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 915 | MLB | Pavin Smith 10 games | AZ vs LAA@ARI | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 916 | MLB | Pavin Smith 10 games | AZ vs LAA@ARI | RBI | 0.5 | +220 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 917 | MLB | Pete Crow-Armstrong 10 games | CHC vs COL@CHC | HR | 0.5 | +300 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 918 | MLB | Pete Crow-Armstrong 10 games | CHC vs COL@CHC | RBI | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 919 | MLB | Riley Greene 10 games | DET vs DET@HOU | R | 1.5 | +700 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 920 | MLB | Ryan Kreidler 10 games | MIN vs MIN@TEX | H | 1.5 | +500 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 921 | MLB | Ryan Kreidler 10 games | MIN vs MIN@TEX | RBI | 0.5 | +325 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 922 | MLB | Ryan Kreidler 10 games | MIN vs MIN@TEX | TB | 1.5 | +260 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 923 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@Athlet | H | 1.5 | +220 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 924 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@Athlet | RBI | 0.5 | +144 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 925 | MLB | Ryan Vilade 10 games | TB vs TBR@LAD | H | 1.5 | +340 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 926 | MLB | Ryan Vilade 10 games | TB vs TBR@LAD | R | 0.5 | +170 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 927 | MLB | Ryan Vilade 10 games | TB vs TBR@LAD | RBI | 0.5 | +211 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 928 | MLB | Ryan Vilade 10 games | TB vs TBR@LAD | TB | 1.5 | +170 | 1.2 | -0.3 | 1/5 | -0.1 | 32 | F | 5.0 | WIN | LOSS | |
| 929 | MLB | Ryan Waldschmidt 10 games | AZ vs LAA@ARI | RBI | 0.5 | +208 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 930 | MLB | Ryan Ward 10 games | LAD vs TBR@LAD | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 931 | MLB | Sal Stewart 10 games | CIN vs NYM@CIN | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 932 | MLB | Sal Stewart 10 games | CIN vs NYM@CIN | R | 0.5 | +110 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 933 | MLB | Sal Stewart 10 games | CIN vs NYM@CIN | RBI | 0.5 | +178 | 0.4 | -0.1 | 1/5 | -0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 934 | MLB | Samad Taylor 8 games | SD vs SDP@STL | HR | 0.5 | +1400 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 935 | MLB | Samad Taylor 8 games | SD vs SDP@STL | RBI | 1.5 | +900 | 1 | -0.5 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 936 | MLB | Seiya Suzuki 10 games | CHC vs COL@CHC | H | 1.5 | +240 | 1.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 937 | MLB | Seiya Suzuki 10 games | CHC vs COL@CHC | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 938 | MLB | Shea Langeliers 10 games | ATH vs PIT@Athlet | H | 1.5 | +180 | 1.4 | -0.1 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 939 | MLB | Shea Langeliers 10 games | ATH vs PIT@Athlet | R | 1.5 | +475 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 940 | MLB | Shea Langeliers 10 games | ATH vs PIT@Athlet | RBI | 1.5 | +320 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 941 | MLB | Shohei Ohtani 10 games | LAD vs TBR@LAD | H | 1.5 | +186 | 1 | -0.5 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 942 | MLB | Spencer Horwitz 10 games | PIT vs PIT@Athlet | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 943 | MLB | Spencer Horwitz 10 games | PIT vs PIT@Athlet | R | 1.5 | +400 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 944 | MLB | Spencer Horwitz 10 games | PIT vs PIT@Athlet | RBI | 1.5 | +500 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 945 | MLB | Spencer Steer 10 games | CIN vs NYM@CIN | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 946 | MLB | Spencer Steer 10 games | CIN vs NYM@CIN | RBI | 0.5 | +192 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 947 | MLB | Spencer Steer 10 games | CIN vs NYM@CIN | TB | 1.5 | +136 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 948 | MLB | Spencer Torkelson 10 games | DET vs DET@HOU | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 949 | MLB | Starling Marte 10 games | KC vs KCR@WSN | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 950 | MLB | Taylor Trammell 10 games | HOU vs DET@HOU | R | 0.5 | +170 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | 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.