Monster

Monster — CS2 Stats

AU76561198084479051[U:1:124213323]Steam profile ↗✓ No bans

267Tracked matches68%Win rate2024Tracked since
404Hours in CS6Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating9,542Light Blue band · top ~57.1% of ranked players (population est.)
Ladder ranks via Leetify

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CSDB.GGMonsterPREMIER9,542 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning46
Utility37

0–100 skill scores via Leetify.

Recent form

HOT55–39–6Last 10055%Win rateWLWLWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +6.0pp headshot accuracy · +20ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 566ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 570ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 560ms

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 (+1.8 against its own average).

Aim6.2
Utility3.7
Positioning4.6
Opening Duels0.0

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

iM

Plays most like iM 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 560ms 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

Aim6.2
Positioning4.6
Utility3.7
Mechanics5.2
Opening Duels0.4
Win Impact10.0

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time566ms+0ms
first ⅓ avg 566ms → last ⅓ avg 566ms
Headshot accuracy15.1%+3.5%
first ⅓ avg 11.6% → last ⅓ avg 15.1%

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.

Personal bests

0.15Best match rating · 13–7 · inferno, 9 Sept →
33%Best headshot accuracy · 3–13 · mirage, 12 Sept →
422msFastest reaction time · 2–13 · inferno, 14 Sept →
13–0Biggest win · nuke, 31 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–2In matches decided by ≤2 rounds
1Overtime games

Map breakdown

officeBest map · 67% over 6anubisWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%-0.00
mirageA2516–964%0.02
nukeB137–654%0.01
cacheA117–464%0.03
infernoB115–645%-0.00
officeS64–267%0.03
anubisC52–340%0.02
vertigo—20–20%-0.02
ancient—11–0100%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,019Lifetime kills
0.93K/D
661Matches
37.8%Match win rate
39.2%Headshot %
6.1%Shot accuracy
835MVPs
210Hours (in match)
485Bombs planted
130Bombs defused

Most-used weapons

Lifetime map wins

1,330dust2
480inferno
347nuke
158office
143vertigo
112train
32lake
22dust

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.

14.8%Headshot accuracy
35.8%Accuracy (enemy spotted)
36.7%Spray accuracy
73.2%Counter-strafing
10.7°Preaim
560msReaction time
25.5%T opening success
33.5%CT opening success
0.42Enemies flashed / flash
2.0%Flash assists
2.08HE damage / grenade
12.91Flashes / 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 14.7617% — 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 0.4201 — 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 25.5217% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0015%9 Nov →
mirage7–130.019%9 Nov →
nuke11–30.0726%9 Nov →
cache4–130.0413%9 Nov →
mirage13–60.0526%7 Nov →
ancient13–50.0019%7 Nov →
dust213–7-0.0016%7 Nov →
nuke13–60.0720%30 Sept →
cache16–120.0117%28 Sept →
mirage13–90.0116%28 Sept →
mirage13–110.0116%28 Sept →
anubis7–13-0.0418%28 Sept →
dust213–100.0710%24 Sept →
anubis13–110.0711%23 Sept →
inferno8–130.029%23 Sept →
dust213–110.0316%23 Sept →
vertigo3–13-0.0910%23 Sept →
vertigo12–120.069%23 Sept →
anubis12–120.0510%22 Sept →
cache13–6-0.027%22 Sept →
mirage7–130.0218%22 Sept →
mirage13–70.0522%21 Sept →
inferno13–40.1111%21 Sept →
cache13–60.0712%21 Sept →
mirage10–130.019%21 Sept →
dust213–90.0216%21 Sept →
nuke10–13-0.1222%20 Sept →
cache10–130.027%20 Sept →
cache13–60.0213%20 Sept →
anubis13–40.0326%20 Sept →
nuke5–13-0.0313%19 Sept →
dust28–13-0.0024%19 Sept →
mirage13–110.1312%19 Sept →
mirage7–13-0.0713%19 Sept →
dust210–130.0211%19 Sept →
inferno4–13-0.0619%19 Sept →
mirage13–9-0.0112%18 Sept →
dust210–13-0.0913%18 Sept →
nuke2–13-0.076%18 Sept →
mirage13–110.0515%17 Sept →
inferno7–13-0.019%17 Sept →
inferno13–11-0.0710%14 Sept →
inferno2–13-0.0512%14 Sept →
mirage13–5-0.0327%14 Sept →
nuke9–13-0.069%14 Sept →
dust26–13-0.0516%14 Sept →
mirage13–40.0316%14 Sept →
nuke10–130.049%14 Sept →
dust26–13-0.115%14 Sept →
mirage12–12-0.0213%14 Sept →
mirage0–7-0.0527%13 Sept →
dust24–13-0.0821%13 Sept →
dust213–100.1118%13 Sept →
mirage13–70.019%12 Sept →
nuke13–6-0.047%12 Sept →
dust210–13-0.0519%12 Sept →
mirage3–13-0.0433%12 Sept →
dust213–3-0.0320%12 Sept →
inferno13–3-0.0715%12 Sept →
dust25–130.0227%9 Sept →
inferno13–70.1516%9 Sept →
dust213–30.0223%9 Sept →
nuke12–120.1319%9 Sept →
mirage13–60.0318%9 Sept →
cache13–110.0111%9 Sept →
mirage13–80.0631%9 Sept →
dust28–13-0.0210%9 Sept →
office13–11-0.043%6 Sept →
office13–60.1412%6 Sept →
nuke13–20.0511%6 Sept →
dust213–110.0119%6 Sept →
nuke13–4-0.0013%6 Sept →
office13–90.0729%6 Sept →
dust210–130.0122%5 Sept →
office5–13-0.0115%5 Sept →
mirage10–130.0623%5 Sept →
inferno13–6-0.0113%4 Sept →
office10–130.068%3 Sept →
office13–10-0.0211%3 Sept →
dust25–13-0.0613%3 Sept →
dust28–13-0.0424%3 Sept →
mirage13–60.0115%2 Sept →
mirage13–40.005%2 Sept →
dust213–7-0.092%2 Sept →
mirage12–12-0.0115%2 Sept →
cache12–120.0913%1 Sept →
dust213–100.0411%1 Sept →
nuke13–00.105%31 Aug →
mirage8–10.040%31 Aug →
dust213–30.0712%31 Aug →
cache13–50.0620%31 Aug →
anubis11–13-0.045%31 Aug →
dust213–100.0610%31 Aug →
mirage13–30.065%29 Aug →
dust211–130.058%29 Aug →
inferno10–130.0611%29 Aug →
dust213–70.0111%29 Aug →
inferno2–8-0.083%29 Aug →
cache13–70.046%29 Aug →
cache7–13-0.059%29 Aug →

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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