otter

otter — CS2 Stats

US76561198095712582[U:1:135446854]Steam profile ↗✓ No bans

1,591Tracked matches52%Win rate2023Tracked since
3,623Hours in CS24Hrs last 2 wks
CSDB Rating5.3 DevelopingHybrid Rifler
FaceitLevel 7 · 1,536 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), 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 playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate29.3%46.2%47.2%17.9% short
Shot accuracy9.6%12.5%12.3%2.8% short
Kill/death ratio0.961.061.070.11 short
Match win rate39.8%45.9%46.3%6.5% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGotterFACEITLevel 7 · 1,536 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning54
Utility34

0–100 skill scores via Leetify.

Recent form

COLD56431Last 10056%Win rateLLLLLLLWWL

Last 10 vs previous 10: -50pp win rate · -0.03 avg rating

Player DNA

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

Aim7.0
Aggression5.9
Utility3.4
Positioning5.4
Opening Duels3.0
Clutch4.2

Strong CT-side openerLimited 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

Twistzz

Plays most like Twistzz 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 56% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim7.0
Positioning5.4
Utility3.4
Mechanics6.9
Opening Duels3.2
Win Impact5.6

Composite 5.3/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time586ms−45ms
first ⅓ avg 631ms → last ⅓ avg 586ms
Headshot accuracy10.6%+0.2%
first ⅓ avg 10.4% → last ⅓ avg 10.6%

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

0.15Best rating — inferno 13–3
133Biggest win — ancient
7Longest win streak
L7Current streak
1415In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 88% over 16infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC24101442%-0.02
dust2B22111150%-0.02
ancientS1614288%0.01
anubisB137654%-0.00
nukeS97278%-0.02
infernoC83538%-0.00
cacheA53260%0.02
overpass2020%-0.03
train110100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

88,027Lifetime kills
0.96K/D
4,402Matches
39.8%Match win rate
29.3%Headshot %
9.6%Shot accuracy
8,792MVPs
1,954Hours (in match)
5,575Bombs planted
1,063Bombs defused

Most-used weapons

AK-4729,763
AWP5,366
FAMAS2,426
SG 5532,128
P2501,972
P901,781

Lifetime map wins

8,554dust2
6,102inferno
2,651nuke
1,568train
1,556vertigo
837cbble
583office
108italy

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

Faceit stats

Combat

606Matches
50%Win rate
1.04Avg K/D
83.8ADR
30%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage15447%0.9715.8
Dust210245%1.0617.2
Inferno8045%1.0115.7
Ancient7454%1.0816.3
Anubis6751%1.0316.1
Nuke4953%1.0915.8
Train3954%1.1017.0
Vertigo1560%1.1017.4

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.

10.5%Headshot accuracy
39.7%Accuracy (enemy spotted)
41.2%Spray accuracy
81.2%Counter-strafing
10.2°Preaim
591msReaction time
28.2%T opening success
55.6%CT opening success
0.36Enemies flashed / flash
3.2%Flash assists
11.23HE damage / grenade
4.01Flashes / 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 10.5098% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3557 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 28.2466% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust212–16-0.037%25 Aug
dust210–13-0.0418%24 Aug
ancient10–13-0.039%24 Aug
anubis7–13-0.0410%22 Aug
dust28–13-0.0213%22 Aug
mirage5–13-0.0811%21 Aug
nuke5–13-0.0514%21 Aug
nuke13–80.0410%18 Aug
ancient16–14-0.0616%18 Aug
inferno14–16-0.0212%17 Aug
cache13–10-0.0010%13 Aug
dust211–13-0.057%12 Aug
cache13–110.0118%11 Aug
ancient13–100.069%11 Aug
mirage4–13-0.0723%7 Aug
mirage13–11-0.0714%5 Aug
ancient13–40.045%5 Aug
ancient13–100.009%5 Aug
cache8–130.0511%4 Aug
ancient13–60.028%4 Aug
ancient13–30.0111%30 Jul
inferno5–13-0.029%29 Jul
anubis16–14-0.048%19 Jul
anubis16–14-0.015%19 Jul
anubis16–130.008%16 Jul
ancient11–13-0.013%15 Jul
mirage13–60.018%3 Jul
mirage13–9-0.0313%3 Jul
mirage15–15-0.0113%3 Jul
inferno11–13-0.069%3 Jul
mirage13–11-0.0211%2 Jul
dust213–9-0.0312%1 Jul
dust213–5-0.0410%1 Jul
anubis13–30.0915%1 Jul
anubis13–4-0.0513%1 Jul
dust213–30.0812%1 Jul
nuke13–5-0.0224%1 Jul
mirage6–13-0.0811%1 Jul
dust26–13-0.0411%1 Jul
anubis13–8-0.047%1 Jul
dust27–13-0.0515%30 Jun
ancient13–70.004%30 Jun
nuke16–130.034%30 Jun
inferno6–130.017%30 Jun
nuke13–8-0.0411%29 Jun
dust211–130.0112%29 Jun
anubis10–130.0314%29 Jun
dust213–7-0.018%28 Jun
dust213–7-0.0218%28 Jun
mirage6–13-0.068%28 Jun
mirage11–13-0.0210%28 Jun
dust22–13-0.0722%28 Jun
mirage8–13-0.0424%28 Jun
inferno11–13-0.0410%28 Jun
anubis5–13-0.005%28 Jun
nuke13–8-0.0622%28 Jun
dust213–11-0.0311%28 Jun
overpass4–13-0.0111%28 Jun
mirage10–13-0.0410%27 Jun
mirage13–11-0.0510%24 Jun
mirage14–16-0.0513%24 Jun
cache11–13-0.048%22 Jun
nuke13–4-0.038%18 Jun
mirage6–130.018%18 Jun
dust211–13-0.058%17 Jun
dust211–13-0.0012%16 Jun
dust213–11-0.0212%12 Jun
anubis11–13-0.0413%12 Jun
mirage13–50.008%12 Jun
inferno13–11-0.0111%10 Jun
nuke13–11-0.0117%10 Jun
ancient13–60.117%8 Jun
mirage13–100.069%8 Jun
mirage12–16-0.067%7 Jun
ancient11–60.0316%7 Jun
mirage11–13-0.018%7 Jun
mirage13–7-0.003%5 Jun
train13–70.0811%5 Jun
cache13–110.0713%5 Jun
dust213–9-0.006%1 Jun
anubis13–5-0.013%1 Jun
ancient16–13-0.0016%1 Jun
nuke7–13-0.057%31 May
anubis9–130.0012%31 May
ancient13–80.0218%31 May
dust213–60.037%31 May
ancient13–50.068%30 May
ancient13–6-0.019%30 May
mirage5–130.0213%30 May
dust213–110.0814%27 May
inferno13–7-0.0420%26 May
inferno13–30.1510%22 May
overpass11–13-0.066%22 May
dust213–11-0.0510%21 May
mirage11–130.0010%21 May
mirage13–50.008%20 May
dust24–13-0.065%20 May
ancient13–8-0.045%20 May
anubis10–130.0719%20 May
mirage13–10-0.0015%19 May

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →