Monchoo

Monchoo — CS2 Stats

PY76561199434722865[U:1:1474457137]Steam profile ↗✓ No bans

1,888Tracked matches60%Win rate2025Tracked since
1,663Hours in CS47Hrs last 2 wks
CSDB Rating3.4 LearningSupport
Premier CS Rating3,728Grey band · top ~84.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 3,728 +492 10 Oct – 13 Nov · 25 days played
1,8983,768peak 3,76810 Oct13 Nov
3,851Peak Premier in tracked matches
24Days played since 2026-10-10

Premier CS Rating

  • 40 below peak (3,768)
  • +1,378 over 30 days · improving
  • Next: Light Blue band at 5,000 — 1,272 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate28.4%38.2%39.9%11.5% short
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio0.770.830.920.15 short
Match win rate44.3%40.2%42.3%above

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

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMonchooPREMIER3,728 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim26
Positioning36
Utility48

0–100 skill scores via Leetify.

Recent form

HOT45–53–2Last 10045%Win rateLWWWLWLWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −2.2pp headshot accuracy · +17ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 702ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 680ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 671ms

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: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim2.6
Utility4.8
Positioning3.6
Opening Duels0.3
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.

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

Twistzz

Plays most like Twistzz 64% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 668ms 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

Aim2.6
Positioning3.6
Utility4.8
Mechanics4.2
Opening Duels0.8
Win Impact8.3

Composite 3.4/10 (Learning), 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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time665ms−69ms
first ⅓ avg 734ms → last ⅓ avg 665ms
Headshot accuracy13.4%+0.4%
first ⅓ avg 13.0% → last ⅓ avg 13.4%

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

0.09Best match rating · 13–2 · dust2, 16 Oct →
29%Best headshot accuracy · 13–8 · dust2, 6 Nov →
430msFastest reaction time · 6–13 · ancient, 27 Oct →
13–2Biggest win · anubis, 23 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 58% over 24ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2614–1254%-0.02
dust2A2414–1058%-0.02
nukeB115–645%-0.02
infernoC114–736%-0.02
anubisD103–730%-0.06
cacheC94–544%-0.05
ancientD91–811%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,486Lifetime kills
0.77K/D
2,336Matches
44.3%Match win rate · Top 25% of Grey band
28.4%Headshot %
0.0%Shot accuracy
3,394MVPs
951Hours (in match)
3,729Bombs planted
625Bombs defused

Most-used weapons

AWP4,221
MP73,603
AK-473,402
XM10143,336
MAC-101,153

Lifetime map wins

9,778dust2
1,607inferno
1,028nuke
304train
24office
23vertigo
1ar_baggage

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

Faceit stats

Combat

4Matches
25%Win rate
0.43Avg K/D
41.5ADR
45%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust220%0.6212.0
Mirage250%0.242.5

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.

12.7%Headshot accuracy
32.4%Accuracy (enemy spotted)
31.6%Spray accuracy
68.8%Counter-strafing
14.1°Preaim
668msReaction time
30.2%T opening success
35.9%CT opening success
0.56Enemies flashed / flash
8.5%Flash assists
8.64HE damage / grenade
5.92Flashes / 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 14.1238° — 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 12.6926% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage0–12-0.0610%13 Nov →
dust213–11-0.0313%13 Nov →
cache13–10-0.0411%10 Nov →
dust213–3-0.0119%8 Nov →
cache2–13-0.087%7 Nov →
mirage13–11-0.004%7 Nov →
mirage2–130.066%7 Nov →
dust213–8-0.0329%6 Nov →
nuke13–9-0.0311%6 Nov →
dust216–14-0.0313%6 Nov →
ancient7–13-0.056%6 Nov →
dust213–9-0.0724%5 Nov →
dust213–8-0.0127%5 Nov →
nuke11–13-0.0411%5 Nov →
inferno13–6-0.0213%5 Nov →
mirage13–7-0.0422%5 Nov →
mirage13–30.099%4 Nov →
cache4–13-0.088%4 Nov →
dust29–13-0.0413%1 Nov →
mirage3–13-0.1113%1 Nov →
nuke16–14-0.024%1 Nov →
dust213–7-0.0117%31 Oct →
dust25–10.0427%31 Oct →
dust213–8-0.014%31 Oct →
ancient10–13-0.0710%31 Oct →
inferno10–130.035%31 Oct →
ancient12–16-0.0211%31 Oct →
mirage13–7-0.0526%28 Oct →
mirage13–90.0813%28 Oct →
ancient6–13-0.099%27 Oct →
dust25–13-0.0617%27 Oct →
dust211–13-0.0518%27 Oct →
dust210–13-0.0516%27 Oct →
ancient4–13-0.088%24 Oct →
dust213–10-0.0123%23 Oct →
dust25–13-0.0313%23 Oct →
anubis13–20.0214%23 Oct →
mirage10–13-0.0111%23 Oct →
dust26–13-0.076%22 Oct →
mirage13–11-0.0411%22 Oct →
mirage13–5-0.0120%22 Oct →
anubis13–2-0.023%21 Oct →
mirage13–9-0.0319%21 Oct →
inferno10–13-0.0415%21 Oct →
ancient11–130.0517%21 Oct →
nuke13–110.026%20 Oct →
anubis6–13-0.1214%20 Oct →
nuke8–13-0.1410%20 Oct →
anubis9–13-0.037%20 Oct →
mirage11–13-0.0817%20 Oct →
inferno9–13-0.0415%20 Oct →
cache13–7-0.0313%19 Oct →
dust215–15-0.063%16 Oct →
nuke13–20.075%16 Oct →
cache13–60.0316%16 Oct →
dust213–7-0.079%16 Oct →
cache8–13-0.0817%16 Oct →
inferno13–11-0.019%16 Oct →
mirage9–13-0.0314%16 Oct →
dust213–20.098%16 Oct →
nuke9–13-0.0313%15 Oct →
nuke12–160.0213%15 Oct →
dust215–150.0119%15 Oct →
ancient6–13-0.0315%14 Oct →
cache10–13-0.043%14 Oct →
dust213–160.0915%14 Oct →
mirage3–13-0.067%14 Oct →
inferno14–16-0.079%13 Oct →
ancient13–9-0.049%13 Oct →
inferno5–130.079%13 Oct →
anubis8–13-0.1117%13 Oct →
mirage16–13-0.0114%13 Oct →
nuke5–13-0.0111%13 Oct →
cache10–13-0.0921%13 Oct →
nuke13–9-0.0317%13 Oct →
mirage10–13-0.0812%13 Oct →
anubis9–13-0.094%13 Oct →
anubis8–13-0.0812%13 Oct →
inferno13–6-0.0311%13 Oct →
dust211–13-0.088%13 Oct →
mirage13–6-0.1220%13 Oct →
nuke9–13-0.0318%13 Oct →
inferno13–9-0.0123%12 Oct →
mirage13–50.0212%12 Oct →
inferno5–13-0.037%12 Oct →
mirage13–6-0.0114%12 Oct →
dust216–13-0.0415%11 Oct →
mirage10–13-0.0216%11 Oct →
dust216–14-0.0314%11 Oct →
mirage2–13-0.0213%11 Oct →
mirage9–13-0.078%11 Oct →
mirage13–8-0.0310%11 Oct →
mirage13–90.0013%11 Oct →
inferno8–13-0.0512%11 Oct →
anubis3–13-0.0917%11 Oct →
anubis11–13-0.0213%11 Oct →
ancient3–13-0.0015%11 Oct →
cache13–8-0.0113%10 Oct →
anubis16–13-0.0511%10 Oct →
mirage1–130.0115%10 Oct →

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 →

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