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 Prospect)

Stat	Per game	Total	Percentile in tier
Points	330.48	10245	47th
Goals	0.77	24	54th
Assists	0.55	17	55th
Saves	1.0	31	23rd
Shots	2.35	73	47th
Demos	0.84	26	44th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	330.48	#579 / 1215	#71 / 161
Goals	0.77	#434 / 1215	#61 / 161
Assists	0.55	#455 / 1215	#60 / 161
Saves	1.0	#738 / 1215	#97 / 161
Demos	0.84	#563 / 1215	#75 / 161

60% of the season is played (31 → ~52 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 (109 games across 2 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	10245	17185	17186	17186	17053 – 17318
Goals	24	40	40	40	34 – 46
Assists	17	29	28	28	23 – 34
Saves	31	52	53	53	45 – 60
Shots	73	122	123	123	111 – 134
Demos	26	44	44	45	37 – 51
MVPs	5	8	8	8	5 – 11

From 28 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	358.0
Avg boost	49.4
Boost stolen / game	448.2
% time at 0 boost	12.4%
Avg speed (uu/s)	1475.7
% supersonic	11.1%
% time high in air	4.3%
Avg distance to ball	2861.7
% time attacking third	21.1%
Demos / game	0.8
Demos taken / game	0.8
Shooting %	31.1%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Challenger	58	0.9	0.57	0.91	352
S25	Challenger	51	0.51	0.45	1.41	354
S26	Prospect	28	0.75	0.54	0.79	358

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	0.75	0.8	0.68 – 0.84
Assists/game	0.54	0.52	0.48 – 0.56
Saves/game	0.79	1.0	0.88 – 1.03
Shots/game	2.5	2.48	2.4 – 2.62

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
Chill	S21	Elite	0.64	0.5	0.93	0.72
Cundy	S14	Veteran	0.62	0.56	0.88	0.73
LoneDrifter.	S26	Prospect	0.84	0.62	0.88	0.91
D0peyFsh	S26	Contender	0.7	0.5	0.97	0.92
Detroeux	S25	Prospect	0.8	0.41	0.69	0.93
ChefHoffy	S22	Challenger	0.77	0.54	1.0	0.96
Ay Joshua	S20	Challenger	0.87	0.6	0.73	0.98
Pivot97	S20	Prospect	0.83	0.46	1.03	0.98
Jay_Kay99	S23	Veteran	0.62	0.38	0.77	0.98
doctorprofessor_	S22	Challenger	0.83	0.65	0.7	1.00

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.