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	329.0	8883	24th
Goals	0.74	20	43rd
Assists	0.7	19	77th
Saves	1.19	32	26th
Shots	2.96	80	76th
Demos	1.3	35	69th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	329.0	#592 / 1215	#103 / 170
Goals	0.74	#502 / 1215	#77 / 170
Assists	0.7	#187 / 1215	#31 / 170
Saves	1.19	#588 / 1215	#100 / 170
Demos	1.3	#223 / 1215	#42 / 170

56% of the season is played (27 → ~48 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	8883	15792	15912	15776 – 16048
Goals	20	36	36	29 – 42
Assists	19	34	33	27 – 39
Saves	32	57	58	50 – 66
Shots	80	142	141	128 – 153
Demos	35	62	61	53 – 69
MVPs	4	7	7	4 – 10

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	441.0
Avg boost	50.6
Boost stolen / game	591.0
% time at 0 boost	15.5%
Avg speed (uu/s)	1565.9
% supersonic	15.4%
% time high in air	5.0%
Avg distance to ball	2964.1
% time attacking third	22.7%
Demos / game	1.3
Demos taken / game	1.1
Shooting %	23.9%

Beyond RSC - lifetime & other play

Source	Games	Record	Win %	Score/g
Lifetime (all)	158	71-39	65%	414
Non-RSC ranked 3v3	3	1-1	50%	237
Non-RSC other	155	70-38	65%	418

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	0.78	0.83	0.75 – 0.88
Assists/game	0.74	0.68	0.62 – 0.75
Saves/game	1.17	1.19	1.12 – 1.37
Shots/game	3.09	2.9	2.75 – 3.04

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
The-JDViirus	S26	Veteran	0.89	0.68	1.07	0.85
SyrupBloodz	S23	Veteran	0.86	0.8	1.4	0.94
Rzemb1e	S24	Master	0.85	0.67	1.18	0.97
Quazzaa	S26	Challenger	0.93	0.77	1.2	1.01
dray	S18	Veteran	0.75	0.75	1.12	1.01
alexis bexas	S22	Master	0.93	0.77	1.09	1.04
snugcore	S23	Elite	0.83	0.7	1.11	1.07
BIGbadBULLMAN13	S25	Veteran	0.79	0.75	1.19	1.12
LMNS	S22	Master	0.85	0.69	1.38	1.13
J.	S20	Elite	0.7	0.8	1.2	1.13

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.