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	379.82	10635	65th
Goals	0.75	21	46th
Assists	0.39	11	19th
Saves	1.39	39	46th
Shots	3.18	89	79th
Demos	0.61	17	10th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Premier
Points	379.82	#220 / 1213	#18 / 73
Goals	0.75	#443 / 1213	#22 / 73
Assists	0.39	#726 / 1213	#42 / 73
Saves	1.39	#362 / 1213	#28 / 73
Demos	0.61	#734 / 1213	#47 / 73

64% of the season is played (28 → ~44 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	10635	16712	16652	16532 – 16771
Goals	21	33	33	28 – 38
Assists	11	17	18	14 – 22
Saves	39	61	61	54 – 69
Shots	89	140	138	127 – 149
Demos	17	27	29	24 – 34
MVPs	6	9	9	6 – 12

From 28 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	395.8
Avg boost	46.5
Boost stolen / game	531.8
% time at 0 boost	11.5%
Avg speed (uu/s)	1546.8
% supersonic	15.1%
% time high in air	5.9%
Avg distance to ball	2730.1
% time attacking third	20.6%
Demos / game	0.6
Demos taken / game	1.2
Shooting %	24.3%

Beyond RSC - lifetime & other play

Source	Games	Record	Win %	Score/g
Lifetime (all)	126	60-34	64%	467
Non-RSC ranked 3v3	49	22-9	71%	418
Non-RSC other	77	38-25	60%	499

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	0.83	0.75 – 0.88
Assists/game	0.39	0.42	0.38 – 0.5
Saves/game	1.39	1.38	1.25 – 1.45
Shots/game	3.18	2.96	2.83 – 3.12

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
Poptart Pounder	S18	Elite	0.67	0.42	1.5	0.76
bex	S23	Master	0.7	0.37	1.44	0.87
Braybaum02	S17	Rival	0.62	0.38	1.38	0.87
ShyIsEepy	S26	Elite	0.96	0.4	1.36	0.89
Shxde	S24	Master	0.89	0.41	1.57	0.95
T.	S18	Premier	0.75	0.38	1.38	0.98
zack	S21	Elite	0.88	0.38	1.62	0.99
Bsmith	S17	Challenger	0.75	0.38	1.38	1.02
KingTutt97	S18	Challenger	0.82	0.36	1.09	1.05
Crybound	S21	Challenger	0.91	0.36	1.46	1.08

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

---

Data source: live (rscna.com) - standings & schedule refresh hourly.