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 | William Contreras 10 games | MIL vs MIA@MIL | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 952 | MLB | Wyatt Langford 10 games | TEX vs TEX@ATL | H | 1.5 | +180 | 0.8 | -0.7 | 0/5 | -0.4 | 29 | F | 2.0 | WIN | LOSS | |
| 953 | MLB | Xander Bogaerts 10 games | SD vs SDP@KCR | H | 1.5 | +180 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 954 | MLB | Xavier Edwards 10 games | MIA vs MIA@MIL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 955 | MLB | Yandy Diaz 10 games | TB vs TBR@BOS | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 956 | MLB | Yandy Diaz 10 games | TB vs TBR@BOS | RBI | 0.5 | +161 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 957 | MLB | Yordan Alvarez 10 games | HOU vs BAL@HOU | RBI | 1.5 | +450 | 0.8 | -0.7 | 1/5 | -0.7 | 29 | F | 1.0 | LOSS | WIN | |
| 958 | MLB | Zach Dezenzo 10 games | HOU vs BAL@HOU | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 959 | MLB | Zach Dezenzo 10 games | HOU vs BAL@HOU | RBI | 0.5 | +260 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 960 | MLB | Zach Neto 10 games | LAA vs DET@LAA | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 961 | MLB | Zach Neto 10 games | LAA vs DET@LAA | RBI | 0.5 | +235 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 962 | MLB | Carter Jensen 10 games | KC vs SDP@KCR | H | 0.5 | -220 | 0.6 | +0.1 | 1/5 | +0.2 | 28 | F | 2.0 | WIN | LOSS | |
| 963 | MLB | Christian Walker 10 games | HOU vs BAL@HOU | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 0.0 | LOSS | WIN | |
| 964 | MLB | Dylan Crews 10 games | WSH vs WSN@ATHLET | H | 0.5 | -210 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 965 | MLB | Edmundo Sosa 10 games | PHI vs NYM@PHI | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | +0.2 | 28 | F | 2.0 | WIN | LOSS | |
| 966 | MLB | Hunter Goodman 10 games | COL vs CIN@COL | RBI | 0.5 | -110 | 0 | -0.5 | 0/5 | -0.1 | 28 | F | — | PENDING | PENDING | |
| 967 | MLB | Jake Burger 10 games | TEX vs TEX@ATL | H | 0.5 | -188 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 968 | MLB | Jeff McNeil 10 games | OAK vs WSN@ATHLET | H | 0.5 | -175 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 3.0 | WIN | LOSS | |
| 969 | MLB | Joc Pederson 10 games | TEX vs TEX@ATL | H | 0.5 | -185 | 0.4 | -0.1 | 2/5 | +0.2 | 28 | F | 2.0 | WIN | LOSS | |
| 970 | MLB | Ketel Marte 10 games | AZ vs STL@ARI | H | 0.5 | -275 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 2.0 | WIN | LOSS | |
| 971 | MLB | Lawrence Butler 10 games | OAK vs WSN@ATHLET | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 0.0 | LOSS | WIN | |
| 972 | MLB | Logan O'Hoppe 10 games | LAA vs DET@LAA | H | 0.5 | -110 | 0 | -0.5 | 0/5 | -0.3 | 28 | F | 2.0 | WIN | LOSS | |
| 973 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs STL@ARI | H | 0.5 | -194 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 0.0 | LOSS | WIN | |
| 974 | MLB | Masyn Winn 10 games | STL vs STL@ARI | H | 0.5 | -220 | 0.4 | -0.1 | 2/5 | +0.1 | 28 | F | 1.0 | WIN | LOSS | |
| 975 | MLB | Munetaka Murakami 10 games | CWS vs CHW@TOR | H | 0.5 | -185 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 976 | MLB | Pete Crow-Armstrong 10 games | CHC vs MIN@CHC | H | 0.5 | -225 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 0.0 | LOSS | WIN | |
| 977 | MLB | Sung-Mun Song 10 games | SD vs SDP@KCR | H | 0.5 | -164 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | — | PENDING | PENDING | |
| 978 | MLB | Travis Bazzana 10 games | AL vs PIT@CLE | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 2.0 | WIN | LOSS | |
| 979 | MLB | Zach McKinstry 10 games | DET vs DET@LAA | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 980 | MLB | Alan Roden 6 games | MIN vs MIN@CHC | H | 0.5 | -130 | 0.2 | -0.3 | 1/5 | -0.2 | 27 | F | 1.0 | WIN | LOSS | |
| 981 | MLB | Eric Wagaman 10 games | NYM vs NYM@PHI | H | 0.5 | -127 | 0.2 | -0.3 | 1/5 | +0 | 27 | F | 0.0 | LOSS | WIN | |
| 982 | MLB | Joey Bart 10 games | ATL vs TEX@ATL | H | 0.5 | -122 | 0.2 | -0.3 | 1/5 | -0.4 | 27 | F | 0.0 | LOSS | WIN | |
| 983 | MLB | Adley Rutschman 10 games | BAL vs BAL@HOU | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 984 | MLB | Alan Roden 6 games | MIN vs MIN@CHC | H | 1.5 | +400 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 985 | MLB | Alan Roden 6 games | MIN vs MIN@CHC | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 986 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | H | 1.5 | +196 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 987 | MLB | Alec Burleson 10 games | STL vs STL@ARI | RBI | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 988 | MLB | Alejandro Kirk 10 games | TOR vs CHW@TOR | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 989 | MLB | Austin Hedges 10 games | CLE vs PIT@CLE | RBI | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 990 | MLB | Austin Martin 10 games | MIN vs MIN@CHC | H | 1.5 | +240 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 991 | MLB | Austin Martin 10 games | MIN vs MIN@CHC | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 992 | MLB | Brooks Lee 10 games | MIN vs MIN@CHC | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 993 | MLB | Cal Raleigh 10 games | SEA vs SFG@SEA | H | 1.5 | +380 | 0.4 | -1.1 | 0/5 | +-0 | 26 | F | 0.0 | LOSS | WIN | |
| 994 | MLB | Cal Raleigh 10 games | SEA vs SFG@SEA | RBI | 1.5 | +500 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 995 | MLB | Cam Smith 10 games | HOU vs BAL@HOU | H | 1.5 | +300 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 996 | MLB | Cam Smith 10 games | HOU vs BAL@HOU | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 997 | MLB | Carlos Cortes 8 games | OAK vs WSN@ATHLET | RBI | 1.5 | +500 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 998 | MLB | Carson Kelly 10 games | CHC vs MIN@CHC | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 999 | MLB | Christian Walker 10 games | HOU vs BAL@HOU | H | 1.5 | +300 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1000 | MLB | Christian Walker 10 games | HOU vs BAL@HOU | RBI | 1.5 | +500 | 0 | -1.5 | 0/5 | -0.2 | 26 | 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.