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 Elite)

Stat	Per game	Total	Percentile in tier
Points	254.2	2542	4th
Goals	0.6	6	20th
Assists	0.5	5	33rd
Saves	1.1	11	19th
Shots	1.4	14	3rd
Demos	0.7	7	24th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	254.2	#893 / 1215	#124 / 179
Goals	0.6	#692 / 1215	#101 / 179
Assists	0.5	#516 / 1215	#81 / 179
Saves	1.1	#683 / 1215	#105 / 179
Demos	0.7	#674 / 1215	#98 / 179

56% of the season is played (10 → ~18 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 (46 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	2542	4576	4932	4932	4857 – 5008
Goals	6	11	11	11	8 – 15
Assists	5	9	9	9	6 – 12
Saves	11	20	21	21	16 – 26
Shots	14	25	29	30	23 – 35
Demos	7	13	14	13	10 – 18
MVPs	0	0	1	1	0 – 2

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	297.3
Avg boost	45.3
Boost stolen / game	370.4
% time at 0 boost	10.6%
Avg speed (uu/s)	1394.6
% supersonic	7.8%
% time high in air	3.5%
Avg distance to ball	3332.5
% time attacking third	14.6%
Demos / game	0.7
Demos taken / game	1.6
Shooting %	39.0%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Rival	46	0.56	0.48	1.33	314
S26	Elite	10	0.6	0.5	1.1	297

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	0.6	0.53	0.47 – 0.56
Assists/game	0.5	0.49	0.36 – 0.54
Saves/game	1.1	1.14	1.0 – 1.25
Shots/game	1.4	1.52	1.35 – 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
kgfan3	S18	Contender	0.58	0.5	0.92	0.83
Sol	S18	Amateur	0.54	0.49	1.08	1.02
ASAPxLEG	S24	Amateur	0.49	0.53	0.88	1.05
sXCyBeast	S23	Amateur	0.5	0.45	1.14	1.26
El Booger Sugar	S24	Challenger	0.56	0.61	1.33	1.30
Just Zainnox	S23	Challenger	0.52	0.56	1.33	1.33
Russ	S22	Contender	0.62	0.54	0.77	1.35
Tazlien	S20	Challenger	0.42	0.58	1.17	1.38
BeardedFrodo1	S23	Amateur	0.71	0.36	1.14	1.38
underbreadbore	S14	Amateur	0.58	0.31	1.14	1.39

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.