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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 951 | MLB | Carson Benge 10 games | NYM vs NYM@MIL | H | 1.5 | +380 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 952 | MLB | Carson Benge 10 games | NYM vs NYM@MIL | TB | 1.5 | +180 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 953 | MLB | Carter Jensen 10 games | KC vs SFG@KCR | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 954 | MLB | Carter Jensen 10 games | KC vs SFG@KCR | R | 1.5 | +600 | 0.6 | -0.9 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 955 | MLB | Carter Jensen 10 games | KC vs SFG@KCR | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 956 | MLB | Ceddanne Rafaela 10 games | BOS vs BAL@BOS | H | 1.5 | +200 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 957 | MLB | Cedric Mullins 10 games | TB vs TBR@TOR | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 958 | MLB | Cedric Mullins 10 games | TB vs TBR@TOR | RBI | 0.5 | +194 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 959 | MLB | Chandler Simpson 10 games | TB vs TBR@TOR | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 960 | MLB | Chase DeLauter 10 games | CLE vs MIN@CLE | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 961 | MLB | Chase DeLauter 10 games | CLE vs MIN@CLE | RBI | 1.5 | +500 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 962 | MLB | Chase Meidroth 10 games | CWS vs CHW@TEX | RBI | 0.5 | +237 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 963 | MLB | Christian Yelich 10 games | MIL vs NYM@MIL | RBI | 0.5 | +224 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 964 | MLB | Coby Mayo 10 games | BAL vs BAL@BOS | H | 1.5 | +450 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 965 | MLB | Cody Bellinger 10 games | NYY vs PIT@NYY | RBI | 1.5 | +450 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 966 | MLB | Cole Young 10 games | SEA vs CIN@SEA | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 967 | MLB | Colson Montgomery 10 games | CWS vs CHW@TEX | HR | 0.5 | +320 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 968 | MLB | Colt Emerson 10 games | SEA vs CIN@SEA | H | 0.5 | -130 | 0.4 | -0.1 | 2/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 969 | MLB | Colt Emerson 10 games | SEA vs CIN@SEA | R | 0.5 | +170 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 970 | MLB | Colt Emerson 10 games | SEA vs CIN@SEA | RBI | 0.5 | +274 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 971 | MLB | Colt Keith 10 games | DET vs DET@CHC | RBI | 0.5 | +245 | 0.4 | -0.1 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 972 | MLB | Cooper Pratt 10 games | MIL vs NYM@MIL | H | 1.5 | +400 | 1 | -0.5 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 973 | MLB | Cooper Pratt 10 games | MIL vs NYM@MIL | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 974 | MLB | Cooper Pratt 10 games | MIL vs NYM@MIL | RBI | 0.5 | +290 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 975 | MLB | Corbin Carroll 10 games | AZ vs Athletics@ | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 976 | MLB | Corbin Carroll 10 games | AZ vs Athletics@ | RBI | 0.5 | +145 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 977 | MLB | Curtis Mead 10 games | WSH vs WSN@COL | R | 1.5 | +450 | 1.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 978 | MLB | Curtis Mead 10 games | WSH vs WSN@COL | RBI | 1.5 | +400 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 979 | MLB | Daulton Varsho 10 games | TOR vs TBR@TOR | RBI | 0.5 | +173 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 980 | MLB | Daulton Varsho 10 games | TOR vs TBR@TOR | TB | 1.5 | +140 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 981 | MLB | Daylen Lile 10 games | WSH vs WSN@COL | H | 1.5 | +150 | 1 | -0.5 | 1/5 | +-0 | 32 | F | 0.0 | LOSS | WIN | |
| 982 | MLB | Daylen Lile 10 games | WSH vs WSN@COL | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 983 | MLB | Daylen Lile 10 games | WSH vs WSN@COL | RBI | 1.5 | +400 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 984 | MLB | Denzer Guzman 10 games | LAA vs STL@LAA | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 985 | MLB | Denzer Guzman 10 games | LAA vs STL@LAA | R | 0.5 | +150 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 986 | MLB | Denzer Guzman 10 games | LAA vs STL@LAA | RBI | 0.5 | +240 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 987 | MLB | Derek Hill 10 games | PHI vs LAD@PHI | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 988 | MLB | Derek Hill 10 games | PHI vs LAD@PHI | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +-0 | 32 | F | 0.0 | LOSS | WIN | |
| 989 | MLB | Derek Hill 10 games | PHI vs LAD@PHI | TB | 1.5 | +175 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 990 | MLB | Dominic Canzone 10 games | SEA vs CIN@SEA | R | 0.5 | +110 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 991 | MLB | Donovan Walton 10 games | ATH vs Athletics@ | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 992 | MLB | Donovan Walton 10 games | ATH vs Athletics@ | TB | 1.5 | +155 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 993 | MLB | Dylan Crews 10 games | WSH vs WSN@COL | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 994 | MLB | Edmundo Sosa 10 games | PHI vs LAD@PHI | H | 1.5 | +280 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 995 | MLB | Edmundo Sosa 10 games | PHI vs LAD@PHI | TB | 1.5 | +136 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 996 | MLB | Edouard Julien 10 games | COL vs WSN@COL | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 997 | MLB | Enmanuel Valdez 10 games | PIT vs PIT@NYY | R | 1.5 | +700 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 998 | MLB | Ezequiel Duran 10 games | TEX vs CHW@TEX | RBI | 0.5 | +244 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 999 | MLB | Ezequiel Tovar 10 games | COL vs WSN@COL | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 1000 | MLB | Francisco Alvarez 10 games | NYM vs NYM@MIL | HR | 0.5 | +475 | 0.4 | -0.1 | 1/5 | +0.5 | 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.