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 Challenger)

Stat	Per game	Total	Percentile in tier
Points	291.5	3498	14th
Goals	0.58	7	24th
Assists	0.42	5	24th
Saves	1.0	12	13th
Shots	1.83	22	6th
Demos	0.5	6	15th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	291.5	#794 / 1215	#115 / 166
Goals	0.58	#719 / 1215	#101 / 166
Assists	0.42	#706 / 1215	#96 / 166
Saves	1.0	#738 / 1215	#112 / 166
Demos	0.5	#806 / 1215	#110 / 166

60% of the season is played (12 → ~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	5830	5989	5914 – 6065
Goals	7	12	12	9 – 16
Assists	5	8	9	6 – 12
Saves	12	20	21	16 – 25
Shots	22	37	39	33 – 45
Demos	6	10	12	8 – 15
MVPs	2	3	3	2 – 5

From 13 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	303.8
Avg boost	53.0
Boost stolen / game	306.7
% time at 0 boost	7.2%
Avg speed (uu/s)	1358.3
% supersonic	10.3%
% time high in air	4.6%
Avg distance to ball	2941.7
% time attacking third	18.6%
Demos / game	0.5
Demos taken / game	1.1
Shooting %	28.9%

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	0.54	0.55	0.5 – 0.58
Assists/game	0.39	0.37	0.3 – 0.45
Saves/game	0.92	0.97	0.92 – 1.06
Shots/game	1.69	1.67	1.59 – 1.83

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
Russ	S23	Amateur	0.47	0.33	0.92	0.91
CountryWolf3587	S14	Amateur	0.5	0.38	0.82	1.02
Yung_itsu	S20	Contender	0.5	0.42	0.75	1.05
Protocol	S23	Prospect	0.57	0.43	0.97	1.15
seargd	S24	Amateur	0.45	0.3	0.88	1.17
GreninjaKing	S25	Challenger	0.7	0.3	1.0	1.18
Chills1912	S23	Challenger	0.7	0.45	0.95	1.21
Theman	S25	Contender	0.46	0.33	1.06	1.21
Carno	S24	Challenger	0.42	0.42	1.08	1.25
Golden2681	S26	Contender	0.67	0.33	1.17	1.27

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.