Kettarn gomadop — CS2 Stats

76561198076698883[U:1:116433155]

1,432Tracked matches40%Win rate2020Tracked since
3,999Hours in CS2Hrs last 2 wks
CSDB Rating4.1 Developing
Premier CS Rating12,576Blue band · top ~41.2% of ranked players (population est.)
CSDB Leaderboard#21745 of 31714 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 rate37.6%41.7%44.1%6.5% short
Shot accuracy9.0%8.8%11.4%2.5% short
Kill/death ratio0.960.971.030.07 short
Match win rate46.3%43.8%45.2%above

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

Widest gap: Shot accuracy. 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.GGKettarn gomadopPREMIER12,576 · Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning46
Utility61

0–100 skill scores via Leetify.

Recent form

COLD45541Last 10045%Win rateWLLLLLWLLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim3.7
Aggression6.2
Utility6.1
Positioning4.6
Opening Duels3.4
Clutch3.2

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

iM

Plays most like iM 83% playstyle similarity

Most alike: utility contribution, 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

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim3.7
Positioning4.6
Utility6.1
Mechanics5.5
Opening Duels4.2
Win Impact1.7

Composite 4.1/10 (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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time636ms+65ms
first ⅓ avg 571ms → last ⅓ avg 636ms
Headshot accuracy11.8%−0.1%
first ⅓ avg 11.9% → last ⅓ avg 11.8%

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

0.11Best rating — nuke 13–10
132Biggest win — inferno
5Longest win streak
1213In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 71% over 14nukeWeakest map · 33% over 24
MapGradePlayedRecordWin rateAvg rating
infernoC29111838%-0.03
nukeD2481633%-0.05
anubisS1410471%-0.03
dust2C104640%-0.01
mirageA106460%-0.03
ancientC73443%-0.02
cacheC52340%-0.01
overpass110100%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,142Lifetime kills
0.96K/D
5,675Matches
46.3%Match win rate · Top 50% of Blue band
37.6%Headshot %
9.0%Shot accuracy · Top 50% of Blue band
13,495MVPs
2,046Hours (in match)
5,536Bombs planted
1,323Bombs defused

Most-used weapons

AK-4719,752
Negev12,071
AWP10,465
P902,549
AUG2,395

Lifetime map wins

9,204dust2
7,860inferno
4,042nuke
1,552cbble
1,322train
1,229vertigo
243office
184lake

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

Faceit stats

Combat

217Matches
55%Win rate
0.90Avg K/D
76.5ADR
35%Headshot %

Clutches & streaks

36%1v1 clutch win
13%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3653%0.7712.2
Anubis3171%0.8712.5
Nuke2767%1.0014.6
Mirage1450%0.8814.4
Ancient1346%0.9416.4
Vertigo1354%0.7011.4
Dust2333%0.8413.0
Train10%0.5211.0

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.

11.1%Headshot accuracy
25.1%Accuracy (enemy spotted)
41.8%Spray accuracy
74.6%Counter-strafing
11.4°Preaim
616msReaction time
23.9%T opening success
63.4%CT opening success
0.51Enemies flashed / flash
2.9%Flash assists
10.82HE damage / grenade
9.04Flashes / 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 11.1416% — below the 15% mark we flag

    Aim Training
  2. 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 23.891% — below the 40% mark we flag

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.

33% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–110.059%27 Aug
nuke1–7-0.1033%21 Aug
inferno11–13-0.0411%18 Aug
anubis11–13-0.037%17 Jul
mirage11–13-0.0913%12 Jul
inferno11–13-0.0211%12 Jul
dust213–10-0.018%12 Jul
inferno14–16-0.0316%12 Jul
inferno4–13-0.0912%12 Jul
inferno5–13-0.035%11 Jul
nuke4–13-0.078%10 Jul
dust29–130.0213%10 Jul
inferno8–13-0.0413%10 Jul
cache13–60.0122%10 Jul
anubis13–8-0.025%10 Jul
nuke13–5-0.0810%10 Jul
inferno13–11-0.016%10 Jul
inferno13–6-0.0612%10 Jul
nuke11–130.039%10 Jul
inferno11–130.0018%9 Jul
mirage13–9-0.0021%9 Jul
anubis13–16-0.088%9 Jul
ancient13–50.047%9 Jul
cache13–11-0.063%9 Jul
inferno11–13-0.0717%9 Jul
anubis13–9-0.068%9 Jul
dust213–110.024%9 Jul
cache11–13-0.0321%9 Jul
dust25–130.0213%9 Jul
cache8–130.0310%9 Jul
inferno8–13-0.058%3 Jul
nuke11–13-0.0317%3 Jul
inferno7–13-0.0511%3 Jul
inferno13–7-0.0011%3 Jul
dust22–11-0.0211%30 Jun
nuke8–13-0.0615%30 Jun
nuke7–13-0.0929%27 Jun
nuke5–13-0.055%18 Jun
nuke11–13-0.0810%18 Jun
nuke8–13-0.1012%16 Jun
mirage13–40.0116%16 Jun
nuke5–13-0.1518%15 Jun
nuke4–13-0.1012%15 Jun
ancient13–4-0.0211%15 Jun
dust213–110.0215%15 Jun
mirage13–5-0.013%15 Jun
anubis13–10-0.0415%15 Jun
anubis16–14-0.0211%14 Jun
nuke3–13-0.086%12 Jun
anubis13–11-0.0713%12 Jun
nuke7–13-0.1213%11 Jun
anubis15–15-0.0515%11 Jun
inferno13–9-0.0115%10 Jun
overpass13–9-0.0110%9 Jun
mirage13–10-0.037%9 Jun
inferno13–90.028%8 Jun
ancient9–13-0.0611%7 Jun
anubis10–13-0.039%6 Jun
mirage9–13-0.027%6 Jun
nuke13–11-0.0411%6 Jun
anubis13–10-0.019%6 Jun
inferno4–13-0.064%6 Jun
inferno3–13-0.1036%5 Jun
nuke13–40.0114%5 Jun
inferno13–110.0019%5 Jun
inferno13–100.0217%5 Jun
nuke13–40.0412%5 Jun
dust25–8-0.0613%4 Jun
inferno10–13-0.006%4 Jun
ancient4–13-0.1024%4 Jun
inferno5–13-0.0519%3 Jun
anubis13–80.078%3 Jun
dust210–13-0.0812%3 Jun
nuke5–130.0113%2 Jun
anubis13–3-0.0221%2 Jun
nuke13–100.1115%2 Jun
nuke13–40.0017%2 Jun
mirage1–13-0.0511%2 Jun
nuke16–14-0.0211%1 Jun
ancient11–13-0.0422%1 Jun
nuke14–16-0.0316%1 Jun
anubis13–5-0.0714%31 May
inferno16–14-0.019%28 May
mirage10–13-0.047%28 May
inferno13–60.029%26 May
mirage13–6-0.047%26 May
inferno13–2-0.034%25 May
anubis13–11-0.0310%25 May
inferno3–13-0.0317%25 May
nuke13–10-0.0811%25 May
cache5–13-0.0212%25 May
inferno5–13-0.018%24 May
inferno13–90.022%24 May
ancient13–100.0811%24 May
dust25–13-0.0419%24 May
inferno5–13-0.0815%24 May
nuke8–13-0.027%24 May
inferno9–13-0.077%23 May
ancient4–13-0.069%23 May
mirage16–130.029%23 May

Match data via Leetify.

Recent teammates

Milestones

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