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 Rival)

Stat	Per game	Total	Percentile in tier
Points	382.59	6504	78th
Goals	0.88	15	71st
Assists	1.0	17	99th
Saves	0.94	16	9th
Shots	2.65	45	59th
Demos	1.06	18	63rd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	382.59	#205 / 1215	#30 / 164
Goals	0.88	#269 / 1215	#39 / 164
Assists	1.0	#15 / 1215	#1 / 164
Saves	0.94	#817 / 1215	#123 / 164
Demos	1.06	#361 / 1215	#50 / 164

56% of the season is played (17 → ~30 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	6504	11478	11305	11196 – 11415
Goals	15	26	26	21 – 31
Assists	17	30	28	23 – 33
Saves	16	28	30	24 – 36
Shots	45	79	79	70 – 88
Demos	18	32	32	26 – 38
MVPs	3	5	5	3 – 8

From 17 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	462.1
Avg boost	51.7
Boost stolen / game	537.5
% time at 0 boost	11.4%
Avg speed (uu/s)	1614.9
% supersonic	17.9%
% time high in air	7.1%
Avg distance to ball	2923.4
% time attacking third	21.8%
Demos / game	1.1
Demos taken / game	1.1
Shooting %	31.7%

Beyond RSC - lifetime & other play

Source	Games	Record	Win %	Score/g
Lifetime (all)	12	2-6	25%	302
Non-RSC ranked 3v3	2	1-1	50%	370
Non-RSC other	10	1-5	17%	288

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	0.88	0.83	0.75 – 0.92
Assists/game	1.0	0.85	0.77 – 0.91
Saves/game	0.94	1.12	1.0 – 1.25
Shots/game	2.65	2.71	2.54 – 2.88

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
Slinkxyz	S26	Rival	1.0	0.92	0.92	1.17
AvgJoeyB-	S20	Master	0.92	0.83	0.92	1.25
nave!	S19	Elite	0.88	1.0	1.12	1.40
Monster.	S22	Premier	0.96	0.88	1.2	1.43
alexis bexas	S22	Master	0.93	0.77	1.09	1.52
relax	S14	Master	0.8	0.9	1.3	1.52
Redfire0817	S14	Rival	0.82	0.73	1.0	1.54
kj	S23	Veteran	0.86	0.76	0.71	1.57
sush	S13	Veteran	0.82	1.09	1.09	1.59
WittingHalo64	S23	Rival	0.67	0.92	0.83	1.62

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.