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	272.0	8160	34th
Goals	0.63	19	38th
Assists	0.6	18	79th
Saves	0.67	20	26th
Shots	2.5	75	70th
Demos	0.7	21	51st

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Amateur
Points	272.0	#849 / 1215	#31 / 61
Goals	0.63	#655 / 1215	#29 / 61
Assists	0.6	#344 / 1215	#9 / 61
Saves	0.67	#913 / 1215	#35 / 61
Demos	0.7	#674 / 1215	#22 / 61

69% of the season is played (30 → ~43 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 (13 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	8160	11696	11764	11764	11675 – 11853
Goals	19	27	28	28	23 – 32
Assists	18	26	25	26	21 – 29
Saves	20	29	29	30	25 – 34
Shots	75	108	106	104	98 – 115
Demos	21	30	30	29	26 – 35
MVPs	3	4	4	4	3 – 6

From 26 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	300.7
Avg boost	50.9
Boost stolen / game	375.1
% time at 0 boost	7.1%
Avg speed (uu/s)	1406.5
% supersonic	8.7%
% time high in air	1.7%
Avg distance to ball	3214.7
% time attacking third	18.9%
Demos / game	0.6
Demos taken / game	0.9
Shooting %	25.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Amateur	13	0.77	0.69	1.15	258
S26	Amateur	26	0.73	0.58	0.65	301

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	0.73	0.76	0.65 – 0.84
Assists/game	0.58	0.6	0.5 – 0.65
Saves/game	0.65	0.88	0.79 – 0.88
Shots/game	2.69	2.48	2.31 – 2.66

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
ShiftDrink	S21	Challenger	0.62	0.5	0.88	0.98
Tankersrul	S21	Challenger	0.88	0.62	0.88	0.99
Canadian "Washed Queen" Things	S13	Elite	0.75	0.62	0.88	1.13
Mortal Frenzy	S26	Contender	0.83	0.5	0.92	1.21
El_Macho	S23	Challenger	0.64	0.36	0.71	1.25
Bigwigglystylezz	S23	Amateur	0.82	0.66	0.86	1.27
RL Camaro	S25	Amateur	0.88	0.52	0.82	1.27
The_Killerwon	S25	Rival	0.82	0.43	0.88	1.29
Godless	S23	Rival	0.76	0.6	0.79	1.29
Droogin01	S21	Contender	0.83	0.71	0.71	1.29

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.