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	294.74	7958	15th
Goals	0.56	15	22nd
Assists	0.63	17	71st
Saves	1.0	27	10th
Shots	2.44	66	44th
Demos	0.93	25	47th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	294.74	#779 / 1215	#115 / 164
Goals	0.56	#750 / 1215	#105 / 164
Assists	0.63	#294 / 1215	#39 / 164
Saves	1.0	#738 / 1215	#115 / 164
Demos	0.93	#489 / 1215	#72 / 164

56% of the season is played (27 → ~48 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 (76 games across 2 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	7958	14148	14371	14371	14241 – 14500
Goals	15	27	28	26	22 – 33
Assists	17	30	30	29	24 – 36
Saves	27	48	50	50	42 – 57
Shots	66	117	118	115	106 – 129
Demos	25	44	45	43	38 – 52
MVPs	0	0	1	1	0 – 2

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	378.9
Avg boost	53.0
Boost stolen / game	446.5
% time at 0 boost	10.0%
Avg speed (uu/s)	1492.5
% supersonic	10.7%
% time high in air	5.7%
Avg distance to ball	2981.0
% time attacking third	20.6%
Demos / game	1.0
Demos taken / game	1.1
Shooting %	20.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Rival	37	0.32	0.35	1.05	357
S24	Rival	39	0.64	0.41	1.56	342
S26	Rival	23	0.48	0.44	0.96	379

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	0.48	0.59	0.51 – 0.64
Assists/game	0.43	0.47	0.39 – 0.56
Saves/game	0.96	1.04	0.93 – 1.12
Shots/game	2.39	2.25	2.11 – 2.43

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
Moist_Games	S26	Prospect	0.57	0.39	0.86	0.89
Zone Killa	S25	Challenger	0.6	0.4	1.22	0.93
Angry-Hermit	S21	Contender	0.56	0.42	0.83	0.96
LoonaStarrr	S26	Elite	0.48	0.52	1.11	0.98
Chill	S21	Elite	0.64	0.5	0.93	1.02
vAirwick	S19	Challenger	0.44	0.28	1.06	1.03
Dondo RF	S25	Rival	0.65	0.49	1.02	1.03
AGrav.	S14	Elite	0.5	0.38	1.12	1.07
Braamse	S24	Veteran	0.58	0.47	1.17	1.07
CoachJimmy_TECT	S20	Contender	0.54	0.46	1.08	1.10

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.