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 | Cameron Cauley 10 games | TEX vs SEA@TEX | RBI | 0.5 | +406 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 952 | MLB | Carson Benge 10 games | NYM vs LAD@NYM | H | 1.5 | +300 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 953 | MLB | Carson Benge 10 games | NYM vs LAD@NYM | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 954 | MLB | Carson Benge 10 games | NYM vs LAD@NYM | TB | 1.5 | +170 | 1 | -0.5 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 955 | MLB | Carson Kelly 10 games | CHC vs CHC@PIT | R | 0.5 | +190 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 956 | MLB | Carson Kelly 10 games | CHC vs CHC@PIT | RBI | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 957 | MLB | Carter Jensen 10 games | KC vs KCR@DET | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 958 | MLB | Carter Jensen 10 games | KC vs KCR@DET | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 959 | MLB | Carter Jensen 10 games | KC vs KCR@DET | RBI | 0.5 | +221 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 960 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 961 | MLB | Cedric Mullins 10 games | TB vs CLE@TBR | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 962 | MLB | Cedric Mullins 10 games | TB vs CLE@TBR | RBI | 0.5 | +196 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 963 | MLB | Chadwick Tromp 10 games | BAL vs ATL@BAL | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 964 | MLB | Chadwick Tromp 10 games | BAL vs ATL@BAL | RBI | 0.5 | +275 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 965 | MLB | Chase DeLauter 10 games | CLE vs CLE@TBR | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 966 | MLB | Chase Meidroth 10 games | CWS vs HOU@CHW | H | 1.5 | +380 | 1.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 967 | MLB | Chase Meidroth 10 games | CWS vs HOU@CHW | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 968 | MLB | Christian Walker 10 games | HOU vs HOU@CHW | H | 1.5 | +380 | 0.6 | -0.9 | 0/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 969 | MLB | Christian Walker 10 games | HOU vs HOU@CHW | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 970 | MLB | Christian Yelich 10 games | MIL vs COL@MIL | H | 1.5 | +230 | 1 | -0.5 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 971 | MLB | Christian Yelich 10 games | MIL vs COL@MIL | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 972 | MLB | Christian Yelich 10 games | MIL vs COL@MIL | R | 0.5 | -125 | 0.4 | -0.1 | 2/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 973 | MLB | Cody Bellinger 10 games | NYY vs NYY@PHI | RBI | 0.5 | +173 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 974 | MLB | Cole Carrigg 10 games | COL vs COL@MIL | R | 1.5 | +1000 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 975 | MLB | Cole Young 10 games | SEA vs SEA@TEX | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 976 | MLB | Colson Montgomery 10 games | CWS vs HOU@CHW | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 977 | MLB | Colt Emerson 10 games | SEA vs SEA@TEX | H | 1.5 | +450 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 978 | MLB | Colt Emerson 10 games | SEA vs SEA@TEX | R | 1.5 | +2000 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 979 | MLB | Colt Emerson 10 games | SEA vs SEA@TEX | RBI | 0.5 | +300 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 980 | MLB | Colt Emerson 10 games | SEA vs SEA@TEX | TB | 1.5 | +220 | 1 | -0.5 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 981 | MLB | Colt Keith 10 games | DET vs KCR@DET | TB | 1.5 | +140 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | 3.0 | WIN | LOSS | |
| 982 | MLB | Cooper Pratt 10 games | MIL vs COL@MIL | H | 1.5 | +320 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 3.0 | WIN | LOSS | |
| 983 | MLB | Cooper Pratt 10 games | MIL vs COL@MIL | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 984 | MLB | Cooper Pratt 10 games | MIL vs COL@MIL | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 985 | MLB | Cooper Pratt 10 games | MIL vs COL@MIL | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 3.0 | WIN | LOSS | |
| 986 | MLB | Corbin Carroll 10 games | AZ vs ARI@WSN | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 987 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYM | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 988 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYM | R | 0.5 | +150 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 989 | MLB | Dane Myers 10 games | CIN vs CIN@STL | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 990 | MLB | Dane Myers 10 games | CIN vs CIN@STL | RBI | 0.5 | +274 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 991 | MLB | Daniel Susac 10 games | SF vs LAA@SFG | RBI | 0.5 | +251 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 992 | MLB | Dansby Swanson 10 games | CHC vs CHC@PIT | RBI | 0.5 | +280 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 993 | MLB | Daulton Varsho 10 games | TOR vs TOR@BOS | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 994 | MLB | Daulton Varsho 10 games | TOR vs TOR@BOS | TB | 1.5 | +142 | 1.2 | -0.3 | 1/5 | +0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 995 | MLB | Daylen Lile 10 games | WSH vs ARI@WSN | RBI | 0.5 | +199 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 2.0 | WIN | LOSS | |
| 996 | MLB | Denzer Guzman 10 games | LAA vs LAA@SFG | H | 1.5 | +320 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 997 | MLB | Denzer Guzman 10 games | LAA vs LAA@SFG | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 998 | MLB | Denzer Guzman 10 games | LAA vs LAA@SFG | RBI | 0.5 | +224 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 999 | MLB | Derek Hill 10 games | PHI vs NYY@PHI | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1000 | MLB | Derek Hill 10 games | PHI vs NYY@PHI | R | 0.5 | +175 | 0.4 | -0.1 | 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.