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	347.52	7993	50th
Goals	0.74	17	49th
Assists	0.61	14	65th
Saves	1.35	31	50th
Shots	2.39	55	39th
Demos	0.74	17	27th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	347.52	#445 / 1215	#67 / 164
Goals	0.74	#504 / 1215	#69 / 164
Assists	0.61	#333 / 1215	#47 / 164
Saves	1.35	#420 / 1215	#67 / 164
Demos	0.74	#653 / 1215	#98 / 164

56% of the season is played (23 → ~41 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	7993	14248	14219	14092 – 14346
Goals	17	30	30	24 – 36
Assists	14	25	25	19 – 30
Saves	31	55	55	47 – 63
Shots	55	98	99	88 – 109
Demos	17	30	32	26 – 38
MVPs	5	9	9	6 – 12

From 23 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	409.0
Avg boost	54.8
Boost stolen / game	519.0
% time at 0 boost	7.7%
Avg speed (uu/s)	1497.5
% supersonic	12.6%
% time high in air	5.5%
Avg distance to ball	2757.4
% time attacking third	18.7%
Demos / game	0.7
Demos taken / game	1.4
Shooting %	29.3%

Beyond RSC - lifetime & other play

Source	Games	Record	Win %	Score/g
Lifetime (all)	1	0-1	0%	182
Non-RSC other	1	0-1	0%	182

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	0.7 – 0.79
Assists/game	0.5	0.5	0.46 – 0.56
Saves/game	1.3	1.4	1.24 – 1.5
Shots/game	2.35	2.32	2.17 – 2.42

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
Dirt D Dan	S22	Veteran	0.71	0.56	1.24	0.81
NFURY8	S24	Elite	0.75	0.58	1.42	0.84
Itchyramrod420TV	S23	Amateur	0.81	0.41	1.09	0.86
LoneDrifter.	S24	Challenger	0.79	0.6	1.22	0.89
watz	S23	Veteran	0.84	0.58	1.42	1.01
Irozuh.	S25	Rival	0.9	0.53	1.47	1.01
anth0tex	S22	Veteran	0.83	0.4	1.28	1.03
DribblingPenguin	S23	Veteran	0.91	0.56	1.56	1.05
AoS Arctic	S25	Elite	0.65	0.6	1.4	1.06
D:	S26	Rival	0.65	0.56	1.39	1.06

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.