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.

Per-game production (percentile within Elite)

Stat	Per game	Total	Percentile in tier
Points	320.71	6735	20th
Goals	0.67	14	29th
Assists	0.48	10	31st
Saves	1.57	33	67th
Shots	2.33	49	29th
Demos	1.1	23	62nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	320.71	#643 / 1215	#103 / 179
Goals	0.67	#601 / 1215	#91 / 179
Assists	0.48	#597 / 1215	#89 / 179
Saves	1.57	#186 / 1215	#41 / 179
Demos	1.1	#331 / 1215	#49 / 179

56% of the season is played (21 → ~37 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 (113 games across 3 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	6735	11866	12016	12016	11900 – 12132
Goals	14	25	25	26	20 – 30
Assists	10	18	18	19	14 – 23
Saves	33	58	57	56	49 – 65
Shots	49	86	87	89	77 – 97
Demos	23	41	40	39	34 – 47
MVPs	3	5	5	5	3 – 8

From 21 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	436.1
Avg boost	50.5
Boost stolen / game	569.5
% time at 0 boost	11.4%
Avg speed (uu/s)	1523.6
% supersonic	12.6%
% time high in air	3.5%
Avg distance to ball	3104.6
% time attacking third	20.7%
Demos / game	1.1
Demos taken / game	1.3
Shooting %	26.7%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S21	Prospect	12	1.08	0.75	1.17	376
S22	Rival	3	0.67	0.0	2.0	403
S23	Rival	64	0.83	0.89	1.25	432
S24	Elite	37	0.73	0.57	1.19	415
S26	Elite	21	0.67	0.48	1.57	436

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

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.

Stat	This season	Comparables median	Typical range
Goals/game	0.67	0.75	0.68 – 0.78
Assists/game	0.48	0.5	0.45 – 0.56
Saves/game	1.57	1.54	1.39 – 1.61
Shots/game	2.33	2.35	2.23 – 2.54

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.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
Rule	S25	Premier	0.69	0.38	1.54	0.83
Axlos (Goofy and Silly)	S24	Elite	0.67	0.49	1.42	0.84
SmithRL.	S23	Veteran	0.71	0.55	1.61	0.89
DribblingPenguin	S17	Rival	0.75	0.38	1.75	0.91
mxWEBBY	S21	Rival	0.75	0.4	1.55	0.91
qFoal	S26	Challenger	0.47	0.56	1.59	0.96
Wafe	S14	Elite	0.46	0.36	1.64	1.09
Murleaux	S26	Veteran	0.75	0.38	1.67	1.13
PumPum	S23	Rival	0.7	0.59	1.39	1.13
Pablo v2	S20	Prospect	0.68	0.57	1.26	1.14

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

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