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 Premier)

Stat	Per game	Total	Percentile in tier
Points	364.42	4373	62nd
Goals	0.75	9	46th
Assists	0.33	4	8th
Saves	1.75	21	81st
Shots	2.42	29	35th
Demos	1.75	21	79th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Premier
Points	364.42	#306 / 1213	#20 / 73
Goals	0.75	#443 / 1213	#22 / 73
Assists	0.33	#798 / 1213	#47 / 73
Saves	1.75	#80 / 1213	#9 / 73
Demos	1.75	#80 / 1213	#10 / 73

64% of the season is played (12 → ~19 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	4373	6924	6919	6844 – 6994
Goals	9	14	14	11 – 18
Assists	4	6	7	4 – 10
Saves	21	33	32	27 – 37
Shots	29	46	47	41 – 53
Demos	21	33	32	27 – 37
MVPs	2	3	3	2 – 5

From 12 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	418.1
Avg boost	46.6
Boost stolen / game	648.1
% time at 0 boost	11.7%
Avg speed (uu/s)	1610.8
% supersonic	20.0%
% time high in air	6.0%
Avg distance to ball	2801.7
% time attacking third	20.7%
Demos / game	1.8
Demos taken / game	1.8
Shooting %	31.9%

Beyond RSC - lifetime & other play

Source	Games	Record	Win %	Score/g
Lifetime (all)	2459	1013-880	54%	385
Non-RSC ranked 3v3	1275	495-451	52%	361
Non-RSC other	1184	518-429	55%	411

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	0.75	0.75	0.65 – 0.81
Assists/game	0.33	0.46	0.39 – 0.5
Saves/game	1.75	1.64	1.52 – 1.74
Shots/game	2.42	2.5	2.4 – 2.64

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
Kaorix	S25	Premier	0.69	0.24	1.62	0.89
A Yapping Panda	S23	Elite	0.75	0.46	1.42	1.15
Slvr.	S26	Master	0.61	0.54	1.71	1.23
Reeves	S25	Premier	0.8	0.58	1.76	1.26
Heichou.Levi	S26	Challenger	0.58	0.17	1.92	1.31
N0TTopmarx	S24	Rival	0.8	0.4	1.54	1.31
oneam	S22	Master	0.69	0.38	1.41	1.33
Dark Odst RW7	S22	Challenger	0.92	0.38	1.85	1.36
Mimetic	S19	Rival	0.91	0.46	1.64	1.39
Kousei.	S25	Elite	0.91	0.46	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.