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 Rival)

Stat	Per game	Total	Percentile in tier
Points	314.22	5656	26th
Goals	0.67	12	34th
Assists	0.33	6	13th
Saves	1.33	24	45th
Shots	2.44	44	44th
Demos	0.67	12	21st

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	314.22	#682 / 1215	#100 / 164
Goals	0.67	#601 / 1215	#84 / 164
Assists	0.33	#813 / 1215	#113 / 164
Saves	1.33	#430 / 1215	#70 / 164
Demos	0.67	#696 / 1215	#106 / 164

56% of the season is played (18 → ~32 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	80% range
Points	5656	10055	10171	10065 – 10278
Goals	12	21	22	17 – 27
Assists	6	11	11	8 – 15
Saves	24	43	43	36 – 50
Shots	44	78	78	69 – 88
Demos	12	21	23	18 – 28
MVPs	2	4	4	2 – 6

From 18 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	384.1
Avg boost	50.6
Boost stolen / game	444.9
% time at 0 boost	10.7%
Avg speed (uu/s)	1470.2
% supersonic	11.3%
% time high in air	4.2%
Avg distance to ball	3293.8
% time attacking third	19.7%
Demos / game	0.7
Demos taken / game	0.7
Shooting %	23.0%

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	0.69	0.61 – 0.76
Assists/game	0.33	0.37	0.32 – 0.42
Saves/game	1.33	1.35	1.22 – 1.46
Shots/game	2.44	2.5	2.31 – 2.58

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
Escape_Plan	S22	Veteran	0.76	0.36	1.21	0.74
mojomo (Goofy and Silly)	S25	Master	0.75	0.3	1.5	0.75
Cognitixn	S24	Veteran	0.71	0.34	1.42	0.82
Yaki	S26	Elite	0.7	0.33	1.26	0.92
dyl	S23	Challenger	0.78	0.39	1.35	0.94
SUP3RM00NS	S25	Rival	0.78	0.35	1.38	0.94
JoeExotic	S24	Rival	0.62	0.32	1.36	0.97
dyl	S17	Challenger	0.6	0.3	1.6	0.97
The_W4nderer	S25	Rival	0.6	0.38	1.31	0.98
LoneDrifter.	S25	Challenger	0.78	0.47	1.27	1.02

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.