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	318.0	3498	28th
Goals	0.36	4	10th
Assists	0.82	9	93rd
Saves	1.64	18	84th
Shots	1.36	15	3rd
Demos	1.09	12	64th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	318.0	#661 / 1215	#97 / 164
Goals	0.36	#884 / 1215	#122 / 164
Assists	0.82	#78 / 1215	#10 / 164
Saves	1.64	#148 / 1215	#22 / 164
Demos	1.09	#335 / 1215	#48 / 164

56% of the season is played (11 → ~20 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	3498	6360	6448	6363 – 6532
Goals	4	7	9	5 – 12
Assists	9	16	15	11 – 19
Saves	18	33	32	26 – 37
Shots	15	27	32	25 – 38
Demos	12	22	22	17 – 26
MVPs	0	0	1	0 – 2

From 6 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	357.9
Avg boost	52.2
Boost stolen / game	400.8
% time at 0 boost	10.1%
Avg speed (uu/s)	1589.9
% supersonic	14.5%
% time high in air	3.8%
Avg distance to ball	3210.5
% time attacking third	17.9%
Demos / game	1.3
Demos taken / game	1.2
Shooting %	29.2%

Beyond RSC - lifetime & other play

Source	Games	Record	Win %	Score/g
Lifetime (all)	52	17-22	44%	316
Non-RSC ranked 3v3	1	0-1	0%	183
Non-RSC other	51	17-21	45%	318

From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.

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	0.3	0.38	0.27 – 0.5
Assists/game	0.9	0.72	0.62 – 0.88
Saves/game	1.7	1.5	1.4 – 1.58
Shots/game	1.0	1.67	1.5 – 1.96

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
kareemostyle	S22	Elite	0.38	1.0	1.25	2.01
Beans	S14	Elite	0.36	0.55	1.54	2.11
Powerof3	S13	Prospect	0.33	0.67	1.58	2.15
TheBannGG	S21	Rival	0.38	1.0	1.62	2.19
MyTyranosaur	S23	Elite	0.5	0.72	1.61	2.25
Noriko	S21	Premier	0.18	0.64	1.36	2.26
LatFips	S22	Rival	0.5	0.75	1.5	2.27
ThatHomieGageTTV	S24	Challenger	0.52	0.61	1.56	2.35
Whoviancat	S13	Challenger	0.0	0.62	1.38	2.36
Static	S18	Premier	0.25	0.88	1.75	2.38

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.