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	459.71	11033	99th
Goals	1.25	30	96th
Assists	0.79	19	90th
Saves	1.46	35	72nd
Shots	3.38	81	98th
Demos	1.08	26	69th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	459.71	#13 / 1213	#1 / 166
Goals	1.25	#37 / 1213	#4 / 166
Assists	0.79	#96 / 1213	#12 / 166
Saves	1.46	#305 / 1213	#37 / 166
Demos	1.08	#341 / 1213	#41 / 166

53% of the season is played (24 → ~45 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	11033	20687	20065	19909 – 20222
Goals	30	56	54	46 – 62
Assists	19	36	34	28 – 41
Saves	35	66	65	56 – 74
Shots	81	152	147	134 – 161
Demos	26	49	48	40 – 56
MVPs	10	19	17	13 – 22

From 8 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	391.5
Avg boost	55.5
Boost stolen / game	542.0
% time at 0 boost	6.6%
Avg speed (uu/s)	1507.2
% supersonic	13.5%
% time high in air	4.6%
Avg distance to ball	2807.2
% time attacking third	23.0%
Demos / game	1.0
Demos taken / game	1.0
Shooting %	59.2%

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	1.62	1.26	1.21 – 1.4
Assists/game	0.88	0.8	0.75 – 0.88
Saves/game	1.62	1.5	1.39 – 1.64
Shots/game	2.88	3.21	3.14 – 3.37

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
Alfredo	S18	Premier	1.4	0.8	1.6	1.56
kRs^^	S21	Elite	1.6	0.85	1.7	1.61
Ruthle	S19	Challenger	1.62	0.75	1.5	1.64
slain.	S22	Master	1.22	0.83	1.7	1.82
AlphaChuck	S21	Elite	1.25	1.06	1.81	1.82
JustLaben	S22	Veteran	1.3	0.7	1.41	1.83
Dyloh(?)	S26	Master	1.28	0.69	1.41	1.85
redwizard2you	S26	Elite	1.18	0.82	1.56	1.86
BaldManStreamer	S24	Veteran	1.26	0.82	1.39	1.88
mr_marino_	S23	Rival	1.3	0.66	1.64	1.88

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.