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 Veteran)

Stat	Per game	Total	Percentile in tier
Points	405.12	3241	88th
Goals	0.75	6	46th
Assists	0.88	7	91st
Saves	1.88	15	92nd
Shots	2.88	23	70th
Demos	2.0	16	92nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	405.12	#107 / 1215	#17 / 170
Goals	0.75	#455 / 1215	#68 / 170
Assists	0.88	#53 / 1215	#12 / 170
Saves	1.88	#52 / 1215	#11 / 170
Demos	2.0	#38 / 1215	#6 / 170

56% of the season is played (8 → ~14 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	3241	5672	5518	5447 – 5590
Goals	6	10	11	7 – 14
Assists	7	12	11	8 – 15
Saves	15	26	25	20 – 29
Shots	23	40	39	33 – 46
Demos	16	28	25	21 – 30
MVPs	1	2	2	1 – 3

From 4 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	383.7
Avg boost	50.0
Boost stolen / game	659.5
% time at 0 boost	12.0%
Avg speed (uu/s)	1526.2
% supersonic	13.0%
% time high in air	5.6%
Avg distance to ball	2808.0
% time attacking third	23.4%
Demos / game	2.8
Demos taken / game	1.8
Shooting %	30.8%

Beyond RSC - lifetime & other play

Source	Games	Record	Win %	Score/g
Lifetime (all)	1067	382-517	42%	395
RSC (official)	4	1-1	50%	290
Non-RSC ranked 3v3	233	71-119	37%	341
Non-RSC other	830	310-397	44%	410

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	0.82	0.78	0.71 – 0.9
Assists/game	0.27	0.33	0.27 – 0.34
Saves/game	1.46	1.42	1.38 – 1.52
Shots/game	2.27	2.33	2.25 – 2.41

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
BBlaazee.	S24	Prospect	0.9	0.36	1.44	0.66
Its_Lost	S23	Challenger	0.75	0.38	1.38	0.83
Slayerof666	S25	Rival	0.76	0.29	1.24	0.88
Cognitixn	S24	Veteran	0.71	0.34	1.42	0.91
SlimmySlimReaper	S23	Rival	0.8	0.39	1.55	0.94
Lup	S26	Master	0.68	0.32	1.46	0.94
AS-17.	S23	Challenger	0.91	0.3	1.52	0.94
daysil_	S25	Elite	0.83	0.33	1.33	0.98
SquattyPotty737	S25	Challenger	0.92	0.25	1.58	1.06
Kourses	S17	Elite	0.83	0.42	1.5	1.07

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.