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 Veteran)

Stat	Per game	Total	Percentile in tier
Points	231.56	2084	1st
Goals	0.22	2	1st
Assists	0.56	5	43rd
Saves	0.78	7	3rd
Shots	1.44	13	2nd
Demos	0.67	6	18th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	231.56	#926 / 1215	#134 / 170
Goals	0.22	#925 / 1215	#133 / 170
Assists	0.56	#434 / 1215	#75 / 170
Saves	0.78	#886 / 1215	#132 / 170
Demos	0.67	#696 / 1215	#109 / 170

56% of the season is played (9 → ~16 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 (97 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	2084	3705	4108	4108	4040 – 4177
Goals	2	4	5	6	3 – 8
Assists	5	9	9	9	6 – 12
Saves	7	12	14	15	10 – 19
Shots	13	23	27	27	21 – 33
Demos	6	11	12	12	8 – 16
MVPs	0	0	0	0	0 – 2

From 9 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	417.0
Avg boost	54.3
Boost stolen / game	615.2
% time at 0 boost	13.9%
Avg speed (uu/s)	1569.1
% supersonic	15.4%
% time high in air	5.6%
Avg distance to ball	2954.8
% time attacking third	20.6%
Demos / game	0.7
Demos taken / game	1.4
Shooting %	13.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Challenger	50	0.8	0.56	1.36	396
S24	Rival	47	0.72	0.55	1.51	405
S26	Veteran	9	0.22	0.56	0.78	417

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	0.22	0.38	0.25 – 0.5
Assists/game	0.56	0.54	0.42 – 0.66
Saves/game	0.78	1.0	0.88 – 1.11
Shots/game	1.44	1.75	1.61 – 1.88

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
WittingHalo64	S20	Veteran	0.38	0.62	0.88	0.98
CxldHeartedJess	S24	Veteran	0.22	0.56	0.89	1.20
BoltiniRome	S26	Challenger	0.17	0.44	0.87	1.23
Chillax	S26	Elite	0.33	0.6	1.07	1.39
bradySC.	S14	Veteran	0.5	0.5	0.75	1.48
xMaster P	S20	Challenger	0.25	0.38	0.75	1.49
Chill	S19	Elite	0.1	0.3	0.8	1.61
Zira	S20	Veteran	0.19	0.69	1.12	1.61
2twisteda	S25	Elite	0.29	0.58	1.17	1.62
DeadCupCake	S18	Veteran	0.23	0.69	1.08	1.64

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

---

Data source: live (rscna.com) - standings & schedule refresh hourly.