H U T C H Y S T W I N K — CS2 Stats

76561198114023952[U:1:153758224]✓ No bans

387Tracked matches48%Win rate2020Tracked since
CSDB Rating5.1 DevelopingHybrid Rifler
Premier CS Rating8,787Light Blue band · top ~60.7% of ranked players (population est.)
CSDB Leaderboard#20735 of 27863 tracked
Ladder ranks via Leetify

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CSDB.GGH U T C H Y S T W I N KPREMIER8,787 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning59
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY40537Last 10040%Win rateLWWLWLLWWT

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.0
Aggression8.5
Utility5.9
Positioning5.9
Opening Duels5.6

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

donk

Plays most like donk 87% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 664ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.0
Positioning5.9
Utility5.9
Mechanics5.4
Opening Duels5.6
Win Impact4.4

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time666ms−24ms
first ⅓ avg 690ms → last ⅓ avg 666ms
Headshot accuracy15.1%−8.0%
first ⅓ avg 23.1% → last ⅓ avg 15.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.16Best rating — dust2 13–2
132Biggest win — dust2
4Longest win streak
511In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 50% over 10nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageD29101934%0.02
dust2B1991047%0.01
infernoC1661038%0.00
ancientB105550%0.00
anubisB105550%0.00
nukeD61517%-0.03
vertigoC52340%0.01
train31233%0.02
cache21150%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.7%Headshot accuracy
35.0%Accuracy (enemy spotted)
38.0%Spray accuracy
74.4%Counter-strafing
8.3°Preaim
664msReaction time
47.8%T opening success
57.1%CT opening success
0.64Enemies flashed / flash
14.5%Flash assists
11.34HE damage / grenade
4.76Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.7494% — below the 15% mark we flag

    Aim Training
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.038%18 Aug
anubis13–80.0528%18 Aug
ancient13–50.028%18 Aug
dust211–13-0.0115%18 Aug
anubis13–6-0.0212%18 Aug
mirage11–130.0216%18 Aug
dust29–13-0.0113%15 Aug
inferno13–80.1017%15 Aug
mirage13–40.0919%13 Aug
inferno15–15-0.0216%13 Aug
ancient13–110.0115%13 Aug
mirage13–90.049%13 Aug
ancient13–8-0.0313%13 Aug
dust213–10-0.0116%13 Aug
nuke3–13-0.0519%31 Jul
mirage13–50.1628%31 Jul
inferno5–13-0.0423%24 Jul
dust213–8-0.0119%24 Jul
mirage13–16-0.0313%24 Jul
dust213–8-0.028%24 Jul
inferno6–13-0.0315%24 Jul
dust26–13-0.0414%24 Jul
cache13–60.0217%24 Jul
mirage2–130.0217%24 Jul
cache9–13-0.0311%24 Jul
anubis7–13-0.0410%24 Jul
dust210–130.0310%24 Jul
ancient9–130.047%24 Jul
nuke8–13-0.0019%24 Jul
ancient13–80.0314%24 Jul
inferno11–130.0715%24 Jul
inferno13–50.0414%14 Jun
anubis15–15-0.0422%20 May
mirage13–80.0219%20 May
mirage6–13-0.0117%18 May
ancient0–13-0.0610%17 May
dust23–130.0327%17 May
mirage11–13-0.0131%17 May
dust211–13-0.0216%16 May
mirage5–13-0.0315%16 May
dust213–20.1619%16 May
ancient14–16-0.0216%11 May
inferno13–11-0.0427%10 May
ancient13–70.0217%10 May
mirage13–70.0320%10 May
dust214–160.0226%10 May
anubis6–13-0.079%10 May
inferno13–60.069%10 May
anubis13–11-0.0117%7 May
mirage15–150.0420%6 May
mirage6–13-0.0336%27 Apr
inferno3–13-0.0526%27 Apr
ancient6–130.0114%27 Apr
inferno12–120.0222%24 Apr
train11–13-0.0123%23 Apr
anubis13–60.0215%23 Apr
inferno9–130.0216%23 Apr
mirage13–50.0620%8 Apr
dust23–110.0950%31 Mar
dust213–50.0510%31 Mar
mirage12–160.0324%22 Mar
train9–130.0024%4 Mar
inferno2–13-0.0522%3 Mar
train13–70.088%3 Mar
mirage1–13-0.0825%2 Mar
anubis13–100.0813%24 Feb
dust213–9-0.0228%9 Feb
mirage5–0-0.0227%9 Feb
vertigo5–13-0.0315%24 Jan
inferno4–13-0.0430%24 Jan
mirage7–13-0.0416%24 Jan
dust213–90.0433%24 Jan
mirage13–110.0821%24 Jan
dust213–8-0.0152%24 Jan
mirage11–130.0424%16 Nov
mirage15–15-0.0124%15 Nov
mirage2–60.0833%13 Nov
anubis7–130.0225%13 Nov
mirage5–130.0419%11 Nov
nuke7–130.0118%8 Nov
mirage15–150.0517%1 Nov
vertigo13–100.0521%18 Oct
mirage8–130.0618%18 Oct
dust210–130.0217%12 Oct
nuke2–13-0.1123%12 Oct
inferno10–13-0.029%11 Oct
dust213–6-0.0135%11 Oct
vertigo15–150.0319%11 Oct
mirage13–11-0.0528%5 Oct
mirage10–130.0121%5 Oct
nuke13–70.0129%5 Oct
nuke5–13-0.0223%5 Oct
anubis11–130.0217%4 Oct
vertigo13–100.0428%4 Oct
inferno13–100.0319%4 Oct
inferno13–50.0018%4 Oct
dust210–13-0.0115%4 Oct
mirage14–16-0.0110%4 Oct
mirage13–90.0818%4 Oct
vertigo1–13-0.0239%4 Oct

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →