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Hairy Otter

Hairy Otter — CS2 Stats

GB76561198026498081[U:1:66232353]Steam profile ↗

867Tracked matches34%Win rate2023Tracked since
2,840Hours in CS1Hrs last 2 wks
CSDB Rating4.2 DevelopingHybrid Rifler
Premier CS Rating10,529Blue band · top ~52.1% of ranked players (population est.)
CSDB Leaderboard#18463 of 25442 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate42.0%41.7%44.1%2.1% short
Shot accuracy15.9%8.8%11.4%above
Kill/death ratio0.870.971.030.16 short
Match win rate41.8%43.8%45.2%3.4% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGHairy OtterPREMIER10,529 · Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning39
Utility48

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLLLWTLLLLW

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4
Aggression5.9
Utility4.8
Positioning3.9
Opening Duels1.8
Clutch1.0

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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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. 656ms 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

Aim6.4
Positioning3.9
Utility4.8
Mechanics5.8
Opening Duels1.8
Win Impact0.0

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time653ms−32ms
first ⅓ avg 686ms → last ⅓ avg 653ms
Headshot accuracy23.9%−0.1%
first ⅓ avg 24.0% → last ⅓ avg 23.9%

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

0.13Best rating — cache 13–5
13–1Biggest win — dust2
5Longest win streak
L3Current streak
9–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 73% over 11ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoD227–1532%-0.02
dust2C197–1237%-0.02
mirageD155–1033%0.00
nukeS118–373%-0.03
overpassA116–555%-0.03
ancientD103–730%-0.03
anubisC104–640%-0.04
cache—11–0100%0.13
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,092Lifetime kills
0.87K/D
3,138Matches
41.8%Match win rate
42.0%Headshot % · Top 50% of Blue band
15.9%Shot accuracy · Top 25% of Blue band
6,944MVPs
1,293Hours (in match)
1,915Bombs planted
585Bombs defused

Most-used weapons

AK-4714,742
M4A4 / M4A1-S8,910
AWP8,008
P906,142
Desert Eagle5,125
P2000 / USP-S3,827
Glock-182,528
P2502,140
MP91,514
MAC-101,224

Lifetime map wins

14,336dust2
5,394inferno
1,739nuke
304vertigo
226train
162cbble
41office
37stmarc

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

69Matches
55%Win rate
0.92Avg K/D
66.8ADR
44%Headshot %

Clutches & streaks

25%1v1 clutch win
11%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno1753%1.1115.0
Dust21650%0.9713.6
Mirage944%0.7112.3
Nuke888%0.8914.0
Ancient771%1.2815.7
Overpass650%0.6011.3
Anubis30%0.417.7
Cache250%0.519.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

24.0%Headshot accuracy
33.1%Accuracy (enemy spotted)
35.8%Spray accuracy
76.2%Counter-strafing
10.2°Preaim
656msReaction time
38.2%T opening success
36.4%CT opening success
0.62Enemies flashed / flash
3.8%Flash assists
15.82HE damage / grenade
8.16Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.1962% — below the 40% mark we flag

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0130%28 Aug →
dust26–13-0.108%11 Jul →
mirage11–130.0823%11 Jul →
mirage13–11-0.0034%27 Jun →
ancient15–15-0.0126%27 Jun →
inferno5–90.0114%27 Jun →
dust210–13-0.0830%27 Jun →
inferno3–13-0.0828%27 Jun →
inferno9–130.0050%26 Jun →
nuke13–11-0.0731%26 Jun →
inferno4–13-0.0711%26 Jun →
dust26–13-0.0325%26 Jun →
nuke2–13-0.0635%12 Jun →
overpass8–13-0.0017%12 Jun →
cache13–50.1321%12 Jun →
dust213–40.0521%12 Jun →
inferno7–13-0.0044%29 May →
mirage4–13-0.0233%29 May →
mirage10–13-0.0529%18 May →
dust216–120.0323%16 May →
mirage11–130.0128%16 May →
dust213–50.0633%15 May →
overpass13–7-0.0718%13 May →
inferno16–14-0.079%13 May →
inferno11–130.0021%11 May →
overpass13–9-0.067%9 May →
dust25–13-0.0214%5 May →
mirage2–13-0.0519%4 May →
inferno8–13-0.0825%4 May →
dust26–13-0.0316%4 May →
ancient13–11-0.0316%4 May →
ancient8–13-0.0326%4 May →
inferno12–16-0.0225%2 May →
inferno8–13-0.0126%1 May →
dust213–4-0.0022%1 May →
mirage4–13-0.0420%29 Apr →
dust215–150.0322%29 Apr →
nuke13–100.0146%28 Apr →
overpass13–90.0614%28 Apr →
anubis0–13-0.0710%27 Apr →
ancient13–110.0318%27 Apr →
nuke4–13-0.1014%27 Apr →
mirage11–13-0.0432%25 Apr →
anubis9–13-0.0618%24 Apr →
dust211–13-0.0715%24 Apr →
mirage5–130.0318%24 Apr →
nuke11–5-0.0625%24 Apr →
overpass13–70.0426%19 Apr →
inferno11–130.0219%19 Apr →
dust212–16-0.0233%17 Apr →
mirage13–90.0420%17 Apr →
inferno2–13-0.0733%16 Apr →
overpass16–13-0.0420%16 Apr →
dust213–1-0.0221%16 Apr →
overpass3–13-0.140%13 Apr →
anubis9–13-0.0618%13 Apr →
ancient6–13-0.0530%12 Apr →
anubis2–130.0124%12 Apr →
inferno9–130.0118%12 Apr →
anubis16–120.0322%12 Apr →
anubis13–5-0.0227%12 Apr →
overpass13–110.0218%11 Apr →
ancient13–11-0.0345%11 Apr →
mirage13–40.1131%9 Apr →
anubis4–13-0.0415%9 Apr →
anubis13–10-0.0319%7 Apr →
nuke10–13-0.0327%7 Apr →
dust213–70.0739%6 Apr →
inferno13–7-0.0321%5 Apr →
mirage13–7-0.0724%5 Apr →
nuke13–11-0.0521%5 Apr →
ancient9–13-0.0216%4 Apr →
anubis13–6-0.0520%4 Apr →
inferno10–130.0224%4 Apr →
ancient3–100.0215%4 Apr →
mirage13–9-0.0115%4 Apr →
mirage5–13-0.0428%2 Apr →
anubis5–13-0.0620%2 Apr →
overpass11–13-0.0321%30 Mar →
inferno13–10-0.0714%30 Mar →
inferno3–130.027%13 Mar →
mirage12–120.0933%13 Mar →
nuke13–9-0.0424%11 Mar →
inferno8–13-0.0419%11 Mar →
dust29–13-0.0419%8 Mar →
nuke13–100.0218%8 Mar →
dust21–2-0.1533%4 Mar →
inferno19–17-0.0232%28 Feb →
ancient15–15-0.0924%27 Feb →
dust213–4-0.0318%27 Feb →
nuke13–4-0.0250%27 Feb →
nuke13–70.0525%25 Feb →
inferno16–13-0.0024%25 Feb →
overpass6–13-0.0733%21 Feb →
inferno13–7-0.0420%21 Feb →
dust27–13-0.0737%20 Feb →
ancient7–13-0.0516%20 Feb →
vertigo13–100.0529%13 Feb →
inferno7–10.0431%13 Feb →
overpass14–16-0.0221%7 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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