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 Challenger)

Stat	Per game	Total	Percentile in tier
Points	315.25	2522	29th
Goals	0.38	3	5th
Assists	0.62	5	71st
Saves	2.0	16	95th
Shots	1.12	9	0th
Demos	1.5	12	86th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	315.25	#674 / 1215	#94 / 166
Goals	0.38	#879 / 1215	#126 / 166
Assists	0.62	#297 / 1215	#37 / 166
Saves	2.0	#24 / 1215	#3 / 166
Demos	1.5	#129 / 1215	#17 / 166

60% of the season is played (8 → ~13 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (181 games across 5 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	Projected (all data)	80% range
Points	2522	4098	4163	4163	4104 – 4223
Goals	3	5	6	5	3 – 8
Assists	5	8	8	8	5 – 10
Saves	16	26	24	24	20 – 28
Shots	9	15	18	17	14 – 22
Demos	12	20	18	18	15 – 22
MVPs	0	0	0	0	0 – 1

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

Boost / min	397.7
Avg boost	47.3
Boost stolen / game	407.0
% time at 0 boost	15.2%
Avg speed (uu/s)	1440.0
% supersonic	12.5%
% time high in air	2.5%
Avg distance to ball	3116.0
% time attacking third	16.1%
Demos / game	2.2
Demos taken / game	3.5
Shooting %	40.0%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Prospect	64	0.47	0.42	1.31	370
S21	Prospect	10	1.1	0.2	2.0	349
S23	Prospect	18	0.44	0.72	1.67	367
S24	Challenger	37	0.51	0.84	1.32	404
S25	Challenger	52	0.67	0.65	1.46	424
S26	Challenger	4	0.5	0.0	2.0	398

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	0.47	0.52	0.47 – 0.57
Assists/game	0.42	0.43	0.39 – 0.47
Saves/game	1.31	1.28	1.23 – 1.37
Shots/game	1.97	1.88	1.79 – 1.97

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
xr.	S22	Challenger	0.48	0.39	1.35	0.59
Vulp the Philosopher	S21	Elite	0.46	0.36	1.18	0.78
StruttRL	S23	Challenger	0.57	0.39	1.3	0.81
StickisBad	S18	Prospect	0.47	0.47	1.21	0.85
Tgunn05	S24	Veteran	0.53	0.41	1.32	0.93
LilBoneSamaTTV	S22	Challenger	0.59	0.38	1.28	0.96
MeOnDisplay	S23	Prospect	0.64	0.44	1.27	1.01
wolverine36535	S25	Prospect	0.63	0.41	1.37	1.05
Spul4k	S23	Challenger	0.48	0.46	1.54	1.06
KING.	S25	Master	0.38	0.5	1.38	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.