kelp shake — CS2 Stats

76561198212244577[U:1:251978849]

922Tracked matches41%Win rate2022Tracked since
1,185Hours in CS2Hrs last 2 wks
CSDB Rating2.6 Learning
WingmanGold Nova III
Ladder ranks via Leetify

Performance scores

Aim20
Positioning25
Utility40

0–100 skill scores via Leetify.

Recent form

COLD355213Last 10035%Win rateLLLLLLLLWL

Last 10 vs previous 10: -80pp win rate · -0.01 avg rating

Player DNA

Aim2.0
Aggression1.8
Utility4.0
Positioning2.5
Opening Duels0.0
Clutch0.0

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 64% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 677ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.0
Positioning2.5
Utility4.0
Mechanics4.2
Opening Duels0.2
Win Impact2.1

Composite 2.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time675ms+6ms
first ⅓ avg 669ms → last ⅓ avg 675ms
Headshot accuracy9.1%−3.4%
first ⅓ avg 12.6% → last ⅓ avg 9.1%

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

0.07Best rating — office 7–9
133Biggest win — vertigo
6Longest win streak
L8Current streak
75In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 71% over 7mirageWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2D2161529%-0.05
mirageD1221017%-0.05
infernoD102820%-0.06
nukeC104640%-0.03
vertigoS107370%-0.04
ancientD82625%-0.06
overpassS75271%-0.02
officeD61517%-0.03
cache41325%-0.07
anubis42250%-0.04
train31233%-0.04
boulder21150%0.01
poseidon2020%-0.13
warden110100%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,745Lifetime kills
0.59K/D
2,967Matches
15.9%Match win rate
39.6%Headshot %
0.7%Shot accuracy
1,688MVPs
751Hours (in match)
620Bombs planted
147Bombs defused

Most-used weapons

Lifetime map wins

1,706dust2
1,343inferno
1,239nuke
1,137vertigo
245office
176train
113ar_shoots
107ar_baggage

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

Faceit stats

Combat

10Matches
40%Win rate
0.47Avg K/D
59.9ADR
45%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage367%0.7014.3
Ancient250%0.285.5
Inferno20%0.508.5
Anubis10%0.081.0
Train1100%0.6712.0
Dust210%0.326.0

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.

9.6%Headshot accuracy
32.2%Accuracy (enemy spotted)
29.8%Spray accuracy
68.8%Counter-strafing
14.3°Preaim
677msReaction time
19.7%T opening success
31.7%CT opening success
0.38Enemies flashed / flash
4.7%Flash assists
9.60HE damage / grenade
8.41Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.3254° — above the 12° mark we flag

    Aim Training
  2. 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 9.6107% — below the 15% mark we flag

    Aim Training
  3. 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 0.3778 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
boulder6–13-0.007%3 Aug
cache3–13-0.108%3 Aug
inferno8–13-0.018%2 Aug
dust22–13-0.078%31 Jul
ancient1–13-0.0813%31 Jul
nuke3–13-0.0215%31 Jul
cache2–13-0.068%30 Jul
mirage7–13-0.058%29 Jul
vertigo13–110.0610%28 Jul
anubis4–13-0.0116%28 Jul
boulder13–100.039%28 Jul
nuke13–7-0.024%28 Jul
inferno13–7-0.0414%28 Jul
office1–13-0.0316%24 Jul
anubis13–8-0.0312%24 Jul
anubis8–2-0.060%24 Jul
vertigo13–3-0.0410%22 Jul
overpass13–3-0.029%22 Jul
train13–9-0.0213%22 Jul
vertigo13–10-0.0411%14 Jul
vertigo11–13-0.0615%13 Jul
vertigo4–13-0.024%10 Jul
office13–10-0.0112%10 Jul
office12–12-0.0210%10 Jul
inferno5–13-0.079%3 Jul
dust24–13-0.0614%1 Jul
cache13–7-0.075%1 Jul
train10–13-0.034%26 Jun
dust22–13-0.143%8 Jun
office8–13-0.108%6 Jun
office9–13-0.079%16 May
cache10–13-0.047%14 May
mirage8–13-0.123%1 Mar
mirage12–12-0.061%28 Feb
poseidon8–8-0.0515%28 Feb
poseidon2–9-0.217%28 Feb
inferno7–13-0.0116%19 Feb
dust212–12-0.035%19 Feb
dust25–6-0.0321%18 Feb
mirage5–13-0.0113%18 Feb
dust211–13-0.099%17 Feb
dust210–13-0.0617%17 Feb
dust210–13-0.0611%15 Feb
dust213–40.0317%15 Feb
mirage12–12-0.0115%15 Feb
ancient12–12-0.0510%12 Feb
warden13–11-0.0424%8 Feb
overpass13–9-0.0318%4 Feb
dust28–13-0.054%31 Jan
nuke3–13-0.0413%30 Jan
ancient13–11-0.0917%25 Jan
nuke13–8-0.0212%25 Jan
dust28–13-0.0113%25 Jan
dust29–13-0.038%20 Jan
overpass13–10-0.0110%16 Jan
inferno12–12-0.049%16 Jan
dust211–13-0.0616%16 Jan
overpass6–130.0211%15 Jan
overpass12–12-0.0216%15 Jan
mirage7–13-0.0411%12 Jan
ancient13–10-0.067%12 Jan
nuke13–9-0.0123%10 Jan
vertigo13–5-0.0116%10 Jan
ancient10–13-0.0510%10 Jan
inferno9–5-0.0724%10 Jan
inferno4–13-0.113%10 Jan
ancient8–13-0.0619%10 Jan
nuke6–130.045%9 Jan
mirage12–12-0.0213%9 Jan
vertigo13–11-0.088%8 Jan
mirage13–90.0217%8 Jan
dust24–13-0.0411%3 Jan
dust213–90.0024%3 Jan
inferno12–12-0.0722%2 Jan
nuke13–10-0.0311%1 Jan
nuke6–13-0.1117%27 Dec
nuke7–10-0.0610%26 Dec
inferno6–13-0.0616%26 Dec
vertigo13–9-0.0814%24 Dec
train12–12-0.0712%21 Dec
mirage4–13-0.1215%20 Dec
dust213–6-0.0618%19 Dec
office7–90.075%19 Dec
dust22–13-0.0710%19 Dec
dust213–11-0.054%17 Dec
mirage12–12-0.0411%17 Dec
inferno1–13-0.1010%17 Dec
vertigo9–13-0.0819%17 Dec
vertigo13–11-0.0410%17 Dec
mirage7–13-0.095%15 Dec
overpass13–9-0.034%10 Dec
dust213–7-0.0410%9 Dec
nuke11–13-0.079%8 Dec
ancient6–13-0.1217%7 Dec
anubis6–13-0.0412%7 Dec
dust29–13-0.0421%7 Dec
ancient7–130.0210%7 Dec
mirage16–13-0.117%5 Dec
dust215–15-0.0719%5 Dec
overpass13–6-0.0320%5 Dec

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 →