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	352.39	12686	62nd
Goals	0.44	16	8th
Assists	0.56	20	54th
Saves	1.53	55	77th
Shots	2.19	79	27th
Demos	1.03	37	61st

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	352.39	#401 / 1215	#51 / 166
Goals	0.44	#847 / 1215	#122 / 166
Assists	0.56	#434 / 1215	#61 / 166
Saves	1.53	#228 / 1215	#28 / 166
Demos	1.03	#385 / 1215	#52 / 166

60% of the season is played (36 → ~60 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	12686	21143	21095	20949 – 21241
Goals	16	27	28	23 – 34
Assists	20	33	33	27 – 39
Saves	55	92	91	81 – 100
Shots	79	132	133	121 – 145
Demos	37	62	61	54 – 69
MVPs	6	10	10	7 – 13

From 32 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	421.6
Avg boost	52.5
Boost stolen / game	635.1
% time at 0 boost	12.4%
Avg speed (uu/s)	1518.8
% supersonic	12.3%
% time high in air	5.5%
Avg distance to ball	2744.5
% time attacking third	20.7%
Demos / game	1.0
Demos taken / game	0.8
Shooting %	25.0%

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	0.47	0.55	0.49 – 0.6
Assists/game	0.56	0.56	0.53 – 0.6
Saves/game	1.59	1.54	1.41 – 1.64
Shots/game	2.12	2.16	2.07 – 2.23

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
Cytrus-	S20	Rival	0.42	0.58	1.67	0.93
JK	S26	Premier	0.46	0.54	1.5	0.93
EKA Luminous	S26	Elite	0.67	0.48	1.57	0.96
Assassin_funny.	S23	Veteran	0.56	0.6	1.66	0.97
BankShark	S23	Veteran	0.55	0.67	1.36	1.02
Girth	S25	Master	0.55	0.55	1.54	1.03
Wafe	S14	Elite	0.46	0.36	1.64	1.05
Axlos (Goofy and Silly)	S24	Elite	0.67	0.49	1.42	1.07
kalten	S22	Master	0.53	0.56	1.62	1.10
Laser	S14	Premier	0.3	0.7	1.7	1.11

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.