NotLuke9

Elite - Leopards - 23-13 (0.639)
85 OVR
overall rating (0–100) · 36 games · how is this calculated?
Overall rating 85/100 Tier dominance: 88th (+1.1 SD) Projects as: Elite Role: Playmaker
How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

MVPs
5
14% of games
Shot %
24%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 368.89 13280
59th
Goals 0.86 31
67th
Assists 0.86 31
91st
Saves 1.11 40
19th
Shots 3.56 128
95th
Demos 0.92 33
40th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points368.89 #285 / 1215 #53 / 179
Goals0.86 #301 / 1215 #42 / 179
Assists0.86 #60 / 1215 #11 / 179
Saves1.11 #671 / 1215 #102 / 179
Demos0.92 #498 / 1215 #75 / 179

Season projection

Medium confidence

56% of the season is played (36 → ~64 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (100 games across 2 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat Now Pace Projected (season) Projected (all data) 80% range
Points 13280 23609 23536 23536 23370 – 23702
Goals 31 55 55 57 47 – 63
Assists 31 55 54 54 46 – 62
Saves 40 71 73 74 63 – 82
Shots 128 228 223 224 207 – 238
Demos 33 59 59 56 51 – 68
MVPs 5 9 9 9 6 – 12

Advanced stats (ballchasing)

Advanced OVR 49 /100

From 32 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.

Boost / min 410.7
Avg boost 48.7
Boost stolen / game 638.2
% time at 0 boost 11.6%
Avg speed (uu/s) 1552.0
% supersonic 15.3%
% time high in air 5.7%
Avg distance to ball 3260.2
% time attacking third 22.7%
Demos / game 1.0
Demos taken / game 1.4
Shooting % 24.5%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S24Veteran56 0.910.681.38 378
S25Veteran44 1.320.611.57 416
S26Elite32 0.840.881.0 411

Historical analysis - data: Official · All seasons (change in the nav)

Comparable-based outlook

High confidence

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

StatThis seasonComparables medianTypical range
Goals/game0.84 0.88 0.83 – 1.0
Assists/game0.88 0.79 0.73 – 0.83
Saves/game1.0 1.11 1.0 – 1.2
Shots/game3.34 3.12 2.98 – 3.25

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
Smyte. S26Veteran 0.750.791.12 0.93
Queue S24Challenger 0.820.870.93 1.06
Kylau S20Premier 1.00.880.88 1.07
snugcore S23Elite 0.830.71.11 1.15
Pillow S26Master 0.780.871.04 1.17
GreenSleeves S18Premier 0.880.751.0 1.18
GAVALANCHE S18Master 0.880.751.0 1.29
AvgJoeyB- S20Master 0.920.830.92 1.30
Lyle S23Elite 0.870.731.12 1.32
kRs^^ S20Elite 0.80.80.9 1.33

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.


Data source: live (rscna.com) - standings & schedule refresh hourly.