JarrettD.

Master - FA - 7-11 (0.389)
👤 Career - also played as JUICY
91 OVR
overall rating (0–100) · 18 games · how is this calculated?
Overall rating 91/100 Tier dominance: 55th (+0.0 SD) Projects as: Master Role: Role player
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.

MVPs
3
17% of games
Shot %
20%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 332.44 5984
29th
Goals 0.5 9
13th
Assists 0.5 9
38th
Saves 1.33 24
38th
Shots 2.56 46
49th
Demos 2.33 42
97th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points332.44 #564 / 1213 #55 / 107
Goals0.5 #771 / 1213 #65 / 107
Assists0.5 #509 / 1213 #42 / 107
Saves1.33 #424 / 1213 #47 / 107
Demos2.33 #23 / 1213 #2 / 107

Season projection

Medium confidence

60% of the season is played (18 → ~30 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 (79 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 5984 9973 10043 10043 9944 – 10141
Goals 9 15 16 19 12 – 20
Assists 9 15 15 15 11 – 19
Saves 24 40 40 41 34 – 46
Shots 46 77 77 82 68 – 85
Demos 42 70 66 66 58 – 73
MVPs 3 5 5 5 3 – 7

Advanced stats (ballchasing)

Advanced OVR 71 /100

From 18 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 485.1
Avg boost 49.0
Boost stolen / game 674.8
% time at 0 boost 15.0%
Avg speed (uu/s) 1623.6
% supersonic 18.8%
% time high in air 4.9%
Avg distance to ball 3023.8
% time attacking third 21.3%
Demos / game 2.3
Demos taken / game 1.1
Shooting % 19.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Elite15 1.130.871.67 449
S25Elite64 1.270.421.39 483
S26Master18 0.50.51.33 485

Beyond RSC - lifetime & other play

External skill estimate: ~74 OVR High confidence — inferred from 803 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 91.
SourceGames RecordWin % Score/g
Lifetime (all)2037828-731 53% 382
RSC (official)227-7 50% 387
Non-RSC ranked 3v3803310-271 53% 343
Non-RSC other1212511-453 53% 408

From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.

Historical analysis - data: Official · All seasons (change in the nav)

Comparable-based outlook

Medium confidence

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.

StatThis seasonComparables medianTypical range
Goals/game0.5 0.62 0.58 – 0.77
Assists/game0.5 0.5 0.45 – 0.59
Saves/game1.33 1.3 1.17 – 1.4
Shots/game2.56 2.5 2.38 – 2.65

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.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
WittingHalo64 S26Rival 0.640.61.16 1.24
The_Wheelman_95 S24Veteran 0.610.611.21 1.32
Lil Windex S24Elite 0.840.491.37 1.57
WittingHalo64 S21Veteran 0.580.671.17 1.58
Torro S23Elite 0.770.571.47 1.64
Angel <3 S21Elite 0.560.561.38 1.65
TheLegendaryChance S25Master 0.70.361.43 1.71
Secretariat S26Elite 0.770.651.31 1.78
TheLegendaryChance S22Elite 0.620.541.31 1.82
TheLegendaryChance S23Elite 0.860.591.12 1.86

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.