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	396.42	7532	85th
Goals	0.84	16	65th
Assists	0.26	5	9th
Saves	2.0	38	95th
Shots	2.79	53	76th
Demos	0.58	11	23rd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	396.42	#131 / 1215	#20 / 166
Goals	0.84	#328 / 1215	#46 / 166
Assists	0.26	#872 / 1215	#121 / 166
Saves	2.0	#24 / 1215	#3 / 166
Demos	0.58	#768 / 1215	#102 / 166

60% of the season is played (19 → ~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	7532	12685	12473	12364 – 12583
Goals	16	27	27	22 – 32
Assists	5	8	9	6 – 13
Saves	38	64	61	54 – 69
Shots	53	89	88	79 – 97
Demos	11	19	20	15 – 25
MVPs	4	7	7	4 – 9

From 15 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	401.3
Avg boost	49.4
Boost stolen / game	519.4
% time at 0 boost	10.8%
Avg speed (uu/s)	1490.0
% supersonic	13.0%
% time high in air	5.4%
Avg distance to ball	2971.8
% time attacking third	19.3%
Demos / game	0.6
Demos taken / game	0.9
Shooting %	31.8%

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	1.0	1.0	0.91 – 1.0
Assists/game	0.27	0.38	0.25 – 0.43
Saves/game	1.67	1.62	1.57 – 1.75
Shots/game	3.2	2.98	2.77 – 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.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
MZFdoom	S26	Elite	0.83	0.3	1.6	0.98
Vvreze	S22	Prospect	1.0	0.38	1.62	1.08
depressed vibez	S20	Veteran	1.05	0.3	1.55	1.16
cowtooth	S20	Rival	0.92	0.42	1.58	1.20
Shxde	S24	Master	0.89	0.41	1.57	1.32
zack	S21	Elite	0.88	0.38	1.62	1.33
Percussive3260	S21	Veteran	1.25	0.25	1.62	1.33
lovegreyhounds	S22	Veteran	0.96	0.5	1.67	1.34
snizdrift	S20	Premier	1.05	0.5	1.65	1.35
AS-17.	S23	Challenger	0.91	0.3	1.52	1.39

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.