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 Contender)

Stat	Per game	Total	Percentile in tier
Points	300.93	4213	41st
Goals	0.36	5	6th
Assists	0.71	10	89th
Saves	1.71	24	95th
Shots	1.5	21	3rd
Demos	0.57	8	33rd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	300.93	#748 / 1215	#66 / 134
Goals	0.36	#887 / 1215	#104 / 134
Assists	0.71	#172 / 1215	#12 / 134
Saves	1.71	#105 / 1215	#6 / 134
Demos	0.57	#770 / 1215	#74 / 134

64% of the season is played (14 → ~22 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 (123 games across 3 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	4213	6620	6667	6667	6593 – 6742
Goals	5	8	9	9	6 – 12
Assists	10	16	15	14	12 – 18
Saves	24	38	36	35	31 – 41
Shots	21	33	35	35	30 – 41
Demos	8	13	13	13	10 – 17
MVPs	2	3	3	3	2 – 5

From 10 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	306.3
Avg boost	55.6
Boost stolen / game	322.2
% time at 0 boost	7.4%
Avg speed (uu/s)	1434.0
% supersonic	11.4%
% time high in air	2.5%
Avg distance to ball	3432.0
% time attacking third	15.9%
Demos / game	0.6
Demos taken / game	1.3
Shooting %	18.0%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Amateur	56	0.71	0.36	1.14	298
S24	Amateur	56	0.79	0.41	0.95	301
S25	Contender	11	0.18	0.18	1.18	314
S26	Contender	10	0.3	0.5	1.8	306

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	0.3	0.4	0.33 – 0.46
Assists/game	0.5	0.42	0.37 – 0.5
Saves/game	1.8	1.63	1.53 – 1.78
Shots/game	1.4	1.69	1.56 – 1.77

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
iProfessorEx	S21	Veteran	0.19	0.5	1.62	1.30
Shraggaholic	S18	Contender	0.33	0.42	1.92	1.45
Visilgris	S17	Challenger	0.25	0.38	1.62	1.47
Loko Deputy	S14	Challenger	0.62	0.5	1.75	1.50
Ice Phoenix	S21	Veteran	0.5	0.62	1.75	1.56
iProfessorEx	S20	Elite	0.42	0.33	1.92	1.56
T Sant	S25	Rival	0.46	0.41	1.73	1.58
Chronicle	S24	Challenger	0.48	0.37	1.78	1.59
cJax	S22	Veteran	0.42	0.49	1.63	1.59
Swanny2.0	S24	Rival	0.52	0.48	1.88	1.61

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.