Muncher

Muncher — CS2 Stats

GB76561198248084570[U:1:287818842]Steam profile ↗✓ No bans

735Tracked matches23%Win rate2021Tracked since
1,188Hours in CS
CSDB Rating4.7 DevelopingClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 735 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,217 +2,882 24 Apr – 10 May · 32 days played
13,86624,392peak 24,39224 Apr10 May
24,971Peak Premier in tracked matches
47Days played since 2024-04-24

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 13 Sep 2026 and 12 Oct 2026.

Measured 13 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim74
Positioning36
Utility37

0–100 skill scores via Leetify.

Recent form

COLD41–52–7Last 10041%Win rateLLLLLLWLLL

Last 10 vs previous 10: −20pp win rate · +0.04 avg rating · +2.8pp headshot accuracy · +13ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 659ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 636ms

Last 20

  • 4–14–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 629ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.9 against its own average).

Aim7.4
Utility3.7
Positioning3.6
Opening Duels0.0
Clutch5.0

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

b1t

Plays most like b1t 92% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 611ms 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

Aim7.4
Positioning3.6
Utility3.7
Mechanics7.9
Opening Duels0.3
Win Impact0.0

Composite 4.7/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time623ms−14ms
first ⅓ avg 638ms → last ⅓ avg 623ms
Headshot accuracy21.3%−2.3%
first ⅓ avg 23.6% → last ⅓ avg 21.3%

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

0.14Best match rating · 9–1 · inferno, 21 Mar →
45%Best headshot accuracy · 13–11 · cache, 26 Apr →
422msFastest reaction time · 10–13 · inferno, 10 May →
13–1Biggest win · mirage, 9 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L6Current streak
7–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 50% over 6infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2210–1245%-0.00
dust2C156–940%-0.01
infernoD144–1029%-0.00
nukeB136–746%-0.01
vertigoC114–736%0.00
anubisC83–538%0.01
overpassB63–350%0.03
ancientB63–350%-0.00
cache—31–233%-0.03
poseidon—10–10%-0.04
office—11–0100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,390Lifetime kills
1.10K/D · Top 50% of tracked players
3,060Matches
45.0%Match win rate · Top 50% of tracked players
43.0%Headshot %
16.5%Shot accuracy · Top 25% of tracked players
7,027MVPs
1,188Hours (in match)
2,214Bombs planted
674Bombs defused

Most-used weapons

Lifetime map wins

4,632dust2
4,578inferno
1,295nuke
1,289vertigo
724cbble
318train
212lake
114bank

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

Faceit stats

Combat

99Matches
60%Win rate
1.41Avg K/D
85.2ADR
49%Headshot %

Clutches & streaks

45%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo1250%2.5618.0
Mirage1050%1.4118.7
Anubis967%1.3118.4
Dust2560%0.9613.6
Nuke520%1.3219.6
Ancient367%1.2714.3
Inferno367%1.1218.3
Cache250%0.6812.0

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.

21.0%Headshot accuracy
31.4%Accuracy (enemy spotted)
33.4%Spray accuracy
85.7%Counter-strafing
7.6°Preaim
611msReaction time
23.9%T opening success
32.1%CT opening success
0.54Enemies flashed / flash
0.9%Flash assists
10.42HE damage / grenade
1.67Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.6667 — below the 4 mark we flag

    Grenade Lineups →
  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 23.9161% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0424%29 Jul →
nuke3–120.0621%2 Jun →
poseidon4–9-0.0433%11 May →
mirage7–13-0.0521%10 May →
inferno10–130.0127%10 May →
dust27–130.0433%10 May →
overpass13–100.1330%7 May →
nuke6–13-0.0122%7 May →
inferno7–13-0.0131%7 May →
anubis7–13-0.0126%7 May →
nuke13–4-0.0318%3 May →
cache9–13-0.0724%3 May →
nuke11–13-0.0031%2 May →
dust25–13-0.0324%30 Apr →
mirage15–15-0.0415%29 Apr →
cache12–12-0.0235%29 Apr →
cache13–11-0.0245%26 Apr →
mirage13–7-0.0121%25 Apr →
inferno9–13-0.0314%14 Apr →
inferno12–16-0.0913%12 Apr →
mirage15–15-0.0318%12 Apr →
inferno11–13-0.0114%12 Apr →
mirage5–13-0.0610%12 Apr →
dust24–13-0.0824%11 Apr →
ancient13–60.0225%11 Apr →
nuke13–7-0.045%11 Apr →
ancient15–15-0.0720%11 Apr →
inferno11–13-0.056%11 Apr →
mirage9–13-0.0716%10 Apr →
overpass10–130.018%10 Apr →
mirage14–16-0.0515%10 Apr →
nuke13–60.0426%10 Apr →
anubis13–70.049%10 Apr →
mirage13–110.0324%9 Apr →
mirage13–10.0214%9 Apr →
inferno10–13-0.0231%9 Apr →
mirage13–11-0.0620%9 Apr →
dust213–11-0.008%9 Apr →
ancient13–100.0028%7 Apr →
overpass13–60.0519%6 Apr →
mirage13–50.0721%5 Apr →
mirage4–13-0.0514%5 Apr →
dust213–4-0.0025%5 Apr →
nuke4–13-0.028%31 Mar →
overpass13–10-0.0130%31 Mar →
inferno13–8-0.0311%31 Mar →
vertigo9–130.0215%30 Mar →
mirage13–70.008%21 Mar →
overpass2–13-0.0315%21 Mar →
inferno9–10.1413%21 Mar →
inferno13–50.0329%21 Mar →
anubis13–10.1236%28 May →
overpass12–120.0119%20 May →
dust213–100.0221%20 May →
anubis13–90.0515%21 Jul →
dust215–15-0.0125%22 Jun →
anubis9–13-0.0222%12 Jun →
inferno6–13-0.0417%12 Jun →
mirage13–60.0917%31 May →
vertigo11–13-0.0313%31 May →
dust213–90.0524%29 May →
mirage7–13-0.0430%29 May →
vertigo8–130.0331%29 May →
mirage13–110.0526%29 May →
vertigo13–7-0.0535%28 May →
vertigo14–160.1013%26 May →
nuke7–130.0624%26 May →
anubis11–13-0.0525%25 May →
mirage10–13-0.0621%24 May →
dust213–5-0.0026%23 May →
vertigo13–100.0430%23 May →
ancient13–110.0033%23 May →
inferno10–130.0718%22 May →
vertigo9–13-0.0127%15 May →
ancient10–130.0925%13 May →
dust23–13-0.0633%8 May →
anubis4–130.0127%8 May →
inferno13–70.0023%4 May →
nuke16–13-0.0015%4 May →
anubis11–13-0.0436%4 May →
dust216–130.0219%4 May →
office13–7-0.0527%4 May →
vertigo13–90.0619%3 May →
nuke7–13-0.0522%3 May →
dust27–13-0.0437%2 May →
mirage11–130.0623%1 May →
dust214–16-0.0420%30 Apr →
ancient6–13-0.0427%30 Apr →
nuke13–7-0.0829%29 Apr →
mirage16–130.1017%29 Apr →
mirage9–130.0113%29 Apr →
dust23–13-0.0517%29 Apr →
vertigo10–13-0.0418%27 Apr →
nuke9–2-0.055%27 Apr →
mirage15–150.0221%25 Apr →
dust27–130.0816%25 Apr →
vertigo13–9-0.0233%25 Apr →
mirage13–11-0.0228%25 Apr →
vertigo6–13-0.0827%25 Apr →
inferno8–13-0.0223%24 Apr →

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 →

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