moet

moet — CS2 Stats

76561198108284580[U:1:148018852]Steam profile ↗✓ No bans

343Tracked matches54%Win rate2022Tracked since
688Hours in CS
CSDB Rating2.7 LearningPositional Player
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim13
Positioning33
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY48–41–11Last 10048%Win rateLWTWWWWLLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −1.7pp headshot accuracy · −107ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 769ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 714ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 768ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim1.3
Utility2.9
Positioning3.3
Opening Duels0.2

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 63% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 755ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim1.3
Positioning3.3
Utility2.9
Mechanics3.7
Opening Duels0.0
Win Impact6.3

Composite 2.7/10 (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 time767ms+31ms
first ⅓ avg 736ms → last ⅓ avg 767ms
Headshot accuracy13.2%+0.9%
first ⅓ avg 12.3% → last ⅓ avg 13.2%

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.

Personal bests

0.03Best match rating · 11–13 · nuke, 10 Mar →
33%Best headshot accuracy · 3–13 · nuke, 22 Feb →
500msFastest reaction time · 5–0 · overpass, 10 Mar →
13–1Biggest win · vertigo, 11 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 67% over 6cacheWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeC197–1237%-0.04
overpassB147–750%-0.04
dust2A138–562%-0.05
cacheD124–833%-0.04
mirageA116–555%-0.04
infernoD93–633%-0.06
anubisS64–267%-0.06
vertigo—31–233%-0.00
ancient—30–30%-0.08
warden—22–0100%-0.00
train—22–0100%-0.04
boulder—10–10%-0.01
poseidon—11–0100%-0.00
sanctum—11–0100%0.01
stronghold—11–0100%-0.05
italy—10–10%-0.06
alpine—11–0100%-0.09

Across the last 100 tracked matches.

Lifetime stats

33,167Lifetime kills
0.85K/D
2,321Matches
38.6%Match win rate
33.9%Headshot %
11.4%Shot accuracy
2,979MVPs
688Hours (in match)
1,979Bombs planted
262Bombs defused

Most-used weapons

AK-474,435
AWP2,136
SG 5531,384
MP91,350
P901,272
MAC-101,150
Negev1,043

Lifetime map wins

1,888inferno
1,875dust2
1,097nuke
1,022train
555vertigo
553cbble
138lake
136bank

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

Skill profile

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

12.9%Headshot accuracy
29.0%Accuracy (enemy spotted)
33.4%Spray accuracy
66.7%Counter-strafing
15.9°Preaim
755msReaction time
28.8%T opening success
26.4%CT opening success
0.41Enemies flashed / flash
5.1%Flash assists
5.73HE damage / grenade
3.36Flashes / 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 15.9145° — 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 12.8687% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 755.4748ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Cache

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
boulder8–13-0.0117%10 Jul →
dust213–11-0.059%9 Jul →
nuke12–12-0.028%9 Jul →
poseidon9–7-0.0011%27 May →
sanctum9–40.019%27 May →
nuke13–11-0.0419%27 May →
mirage13–7-0.0317%26 May →
cache11–13-0.0423%20 May →
cache10–13-0.0110%20 May →
inferno9–13-0.047%16 May →
cache5–13-0.0816%16 May →
vertigo12–12-0.0610%10 May →
cache13–3-0.033%10 May →
cache10–130.0121%10 May →
overpass8–13-0.1211%9 May →
cache7–130.0010%9 May →
nuke13–6-0.0625%5 May →
cache13–4-0.0219%5 May →
cache11–13-0.0613%3 May →
cache0–7-0.0520%3 May →
cache8–13-0.110%1 May →
cache13–9-0.0618%29 Apr →
cache13–20.015%28 Apr →
dust216–13-0.0414%25 Apr →
nuke13–7-0.0719%25 Apr →
overpass16–13-0.019%25 Apr →
mirage13–8-0.0314%21 Apr →
nuke13–60.027%21 Apr →
overpass10–13-0.0316%19 Apr →
nuke13–5-0.0213%19 Apr →
dust212–12-0.0812%19 Apr →
nuke12–12-0.076%4 Apr →
stronghold13–7-0.0524%3 Apr →
overpass8–13-0.056%3 Apr →
vertigo11–130.0323%3 Apr →
anubis13–10-0.0717%3 Apr →
anubis13–10-0.047%3 Apr →
nuke2–13-0.0925%3 Apr →
mirage16–13-0.0517%29 Mar →
nuke11–13-0.0720%29 Mar →
mirage4–130.0022%25 Mar →
dust28–2-0.060%25 Mar →
warden13–100.0014%25 Mar →
nuke3–13-0.0516%25 Mar →
nuke15–15-0.0517%24 Mar →
inferno13–7-0.053%24 Mar →
overpass13–7-0.0322%21 Mar →
overpass12–12-0.0313%21 Mar →
ancient8–13-0.089%21 Mar →
dust24–13-0.063%21 Mar →
overpass2–13-0.0815%14 Mar →
inferno2–13-0.1016%14 Mar →
italy9–13-0.0610%14 Mar →
overpass13–9-0.0311%12 Mar →
vertigo13–10.039%11 Mar →
mirage13–3-0.0710%10 Mar →
overpass5–00.000%10 Mar →
nuke11–130.0312%10 Mar →
nuke6–13-0.0623%4 Mar →
inferno5–13-0.0817%3 Mar →
overpass13–11-0.0311%24 Feb →
anubis13–10-0.059%23 Feb →
nuke3–13-0.0333%22 Feb →
dust22–13-0.127%22 Feb →
mirage10–13-0.0211%22 Feb →
anubis13–10-0.058%20 Feb →
inferno10–13-0.0114%19 Feb →
nuke12–12-0.088%19 Feb →
overpass13–10-0.0418%18 Feb →
dust22–00.000%18 Feb →
mirage11–13-0.0611%18 Feb →
dust213–11-0.0722%16 Feb →
overpass12–12-0.039%16 Feb →
nuke8–5-0.0111%16 Feb →
train13–11-0.0112%16 Feb →
mirage13–7-0.037%16 Feb →
dust28–13-0.0317%16 Feb →
dust213–3-0.0318%15 Feb →
overpass13–10-0.064%14 Feb →
inferno6–13-0.0813%13 Feb →
alpine13–7-0.0911%13 Feb →
dust213–10.028%13 Feb →
nuke12–12-0.0612%13 Feb →
inferno8–13-0.0713%12 Feb →
dust27–13-0.0812%11 Feb →
mirage13–5-0.0425%11 Feb →
mirage6–13-0.0511%10 Feb →
dust213–11-0.0313%10 Feb →
inferno13–8-0.0711%9 Feb →
anubis8–13-0.0914%25 Jan →
ancient12–12-0.128%25 Jan →
train13–11-0.0722%25 Jan →
inferno13–9-0.0317%25 Jan →
warden13–7-0.0013%22 Jan →
anubis8–13-0.0820%22 Jan →
nuke13–7-0.053%20 Jan →
overpass5–13-0.0713%5 Jan →
nuke12–12-0.028%5 Jan →
ancient7–13-0.055%5 Jan →
mirage3–13-0.0917%5 Jan →

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 →

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