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	237.03	6874	15th
Goals	0.59	17	30th
Assists	0.41	12	49th
Saves	0.52	15	11th
Shots	1.59	46	26th
Demos	0.72	21	55th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Amateur
Points	237.03	#920 / 1215	#40 / 61
Goals	0.59	#717 / 1215	#32 / 61
Assists	0.41	#718 / 1215	#24 / 61
Saves	0.52	#933 / 1215	#42 / 61
Demos	0.72	#662 / 1215	#21 / 61

69% of the season is played (29 → ~42 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 (66 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	6874	9955	10123	10123	10038 – 10208
Goals	17	25	25	24	21 – 29
Assists	12	17	17	17	14 – 21
Saves	15	22	23	23	19 – 27
Shots	46	67	68	65	61 – 75
Demos	21	30	30	31	26 – 35
MVPs	1	1	2	2	1 – 3

From 29 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	403.0
Avg boost	52.2
Boost stolen / game	332.7
% time at 0 boost	12.5%
Avg speed (uu/s)	1539.7
% supersonic	13.6%
% time high in air	2.4%
Avg distance to ball	3215.6
% time attacking third	18.6%
Demos / game	0.7
Demos taken / game	0.7
Shooting %	34.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Amateur	20	0.2	0.3	1.05	237
S23	Amateur	12	0.42	0.08	0.83	342
S24	Amateur	4	0.25	0.0	0.75	398
S25	Amateur	34	0.38	0.24	0.65	384
S26	Amateur	29	0.59	0.41	0.52	403

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	0.59	0.59	0.5 – 0.69
Assists/game	0.41	0.42	0.38 – 0.5
Saves/game	0.52	0.83	0.74 – 0.95
Shots/game	1.59	1.98	1.83 – 2.1

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
cuse42	S23	Prospect	0.64	0.46	0.66	1.25
itsu_desu	S24	Challenger	0.8	0.46	0.74	1.46
Nova_	S13	Elite	0.62	0.5	0.88	1.49
Colossus4203316	S18	Amateur	0.53	0.28	0.47	1.50
MedicMac121	S25	Amateur	0.69	0.51	0.76	1.58
archhie.	S20	Veteran	0.82	0.46	0.64	1.63
Slinkxyz	S24	Veteran	0.45	0.4	0.95	1.67
TVitchyramrod420	S21	Contender	0.54	0.67	0.64	1.70
Sinjaaa.	S21	Prospect	0.71	0.36	1.0	1.72
Rcmblocks	S19	Prospect	0.75	0.33	0.83	1.73

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.