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 Amateur)

Stat	Per game	Total	Percentile in tier
Points	270.43	5679	32nd
Goals	0.9	19	68th
Assists	0.33	7	28th
Saves	0.62	13	17th
Shots	2.38	50	66th
Demos	0.81	17	57th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Amateur
Points	270.43	#856 / 1215	#32 / 61
Goals	0.9	#247 / 1215	#15 / 61
Assists	0.33	#813 / 1215	#33 / 61
Saves	0.62	#928 / 1215	#39 / 61
Demos	0.81	#591 / 1215	#20 / 61

69% of the season is played (21 → ~30 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 (14 games across 1 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	5679	8113	8178	8178	8105 – 8252
Goals	19	27	27	26	23 – 31
Assists	7	10	10	11	8 – 13
Saves	13	19	19	18	16 – 23
Shots	50	71	71	68	64 – 77
Demos	17	24	24	24	20 – 28
MVPs	3	4	4	4	3 – 6

From 17 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	354.1
Avg boost	47.8
Boost stolen / game	526.5
% time at 0 boost	12.2%
Avg speed (uu/s)	1427.6
% supersonic	11.2%
% time high in air	1.9%
Avg distance to ball	3338.3
% time attacking third	18.9%
Demos / game	0.8
Demos taken / game	1.1
Shooting %	39.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Amateur	14	0.57	0.64	0.43	362
S26	Amateur	17	0.88	0.35	0.65	354

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	0.88	0.83	0.8 – 0.89
Assists/game	0.35	0.35	0.25 – 0.42
Saves/game	0.65	0.77	0.69 – 0.88
Shots/game	2.29	2.33	2.12 – 2.5

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
SpongePack	S14	Veteran	1.0	0.25	0.62	1.01
SHHHM3LLIT	S20	Contender	0.82	0.24	0.88	1.05
xLunarWolfx	S23	Prospect	0.89	0.26	0.93	1.11
sXCyBeast	S25	Amateur	0.71	0.44	0.64	1.11
Pivot97	S24	Challenger	0.81	0.43	0.95	1.23
Envy	S22	Rival	0.83	0.25	0.92	1.24
Jack Is Bxd	S26	Veteran	0.88	0.31	0.81	1.26
FBstovergaming	S14	Amateur	0.95	0.14	0.57	1.29
cJax	S17	Rival	0.88	0.25	0.75	1.32
Tuxedo Marx	S22	Rival	1.0	0.42	0.83	1.34

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.