munt

munt — CS2 Stats

GB76561198050748656[U:1:90482928]Steam profile ↗✓ No bans

1,868Tracked matches44%Win rate2020Tracked since
5,044Hours in CS5Hrs last 2 wks
CSDB Rating3.6 LearningSupport
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,225 → 1,225
+10Tracked matches · now 1,868
+5.1ppWin rate · 39.3% → 44.4%

Rating over time

1,225Highest Faceit ELO seen on CSDB
50Days played since 2026-05-22

Faceit ELO

  • At peak — 1,225
  • Next: Level 7 at 1,351 — 126 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-06
  • Level 5 first seen 2026-09-06

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches10——
Win rate50%——
K/D0.76——
Headshot %51%——

Measured 6 Sep 2026 → 8 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.

Share this profile

CSDB.GGmuntPEAK ELO1,225csdb.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

Aim47
Positioning32
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateWWLWWLTLWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +3.7pp headshot accuracy · +107ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 778ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 725ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 672ms

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 (+2.1 against its own average).

Aim4.7
Utility4.0
Positioning3.2
Opening Duels0.0
Clutch0.4

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

NiKo

Plays most like NiKo 80% 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. 672ms 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

Aim4.7
Positioning3.2
Utility4.0
Mechanics6.8
Opening Duels0.0
Win Impact3.1

Composite 3.6/10 (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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time680ms+24ms
first ⅓ avg 656ms → last ⅓ avg 680ms
Headshot accuracy16.1%−6.0%
first ⅓ avg 22.1% → last ⅓ avg 16.1%

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

0.08Best match rating · 5–13 · dust2, 29 Aug →
100%Best headshot accuracy · 2–0 · cache, 21 Jun →
398msFastest reaction time · 11–13 · cache, 25 Aug →
13–0Biggest win · ancient, 18 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
6–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 63% over 8anubisWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
infernoC2310–1343%-0.03
anubisD164–1225%-0.04
mirageC156–940%-0.03
cacheC146–843%-0.05
ancientB137–654%-0.03
overpassA85–363%-0.03
dust2C73–443%-0.01
nuke—32–167%0.00
boulder—11–0100%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

150,607Lifetime kills
1.51K/D · Top 5% of tracked players
5,751Matches
49.2%Match win rate · Top 25% of tracked players
50.7%Headshot % · Top 25% of tracked players
16.2%Shot accuracy · Top 25% of tracked players
13,958MVPs
2,276Hours (in match)
10,181Bombs planted
1,782Bombs defused

Most-used weapons

AK-4760,064
AWP11,207
FAMAS3,688
SSG 083,278
P2503,201

Lifetime map wins

10,049inferno
7,137dust2
2,468nuke
2,192vertigo
2,047office
1,334train
815cbble
217italy

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

Faceit stats

Combat

343Matches
51%Win rate
1.00Avg K/D
71.5ADR
39%Headshot %

Clutches & streaks

22%1v1 clutch win
31%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2978%0.9512.2
Mirage956%1.0314.1
Inferno683%1.4615.5
Anubis650%1.2716.2
Vertigo333%0.7412.3
Ancient367%1.0013.3
Nuke333%0.7611.0
Overpass10%0.5811.0

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.

16.1%Headshot accuracy
29.3%Accuracy (enemy spotted)
35.3%Spray accuracy
80.5%Counter-strafing
10.7°Preaim
672msReaction time
16.1%T opening success
21.4%CT opening success
0.52Enemies flashed / flash
4.7%Flash assists
6.02HE damage / grenade
5.26Flashes / 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

    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 16.0619% — 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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0216%4 Oct →
ancient13–8-0.0210%1 Oct →
dust213–16-0.039%30 Sept →
nuke13–30.0719%27 Sept →
ancient6–0-0.0233%22 Sept →
overpass2–13-0.0429%22 Sept →
anubis12–12-0.0121%19 Sept →
inferno11–130.0228%19 Sept →
dust216–120.0221%8 Sept →
dust26–13-0.0317%7 Sept →
dust25–130.0825%29 Aug →
inferno13–5-0.0412%28 Aug →
anubis6–13-0.078%28 Aug →
cache13–8-0.0713%27 Aug →
cache11–13-0.1111%25 Aug →
mirage13–6-0.0317%25 Aug →
mirage12–12-0.0321%24 Aug →
inferno13–6-0.0211%22 Aug →
inferno11–13-0.0618%21 Aug →
mirage12–12-0.0230%21 Aug →
cache10–13-0.0512%20 Aug →
inferno13–50.0416%20 Aug →
overpass13–5-0.0221%17 Aug →
ancient13–9-0.109%17 Aug →
nuke11–13-0.0717%6 Aug →
anubis5–130.0419%5 Aug →
inferno1–8-0.040%5 Aug →
overpass3–130.0017%2 Aug →
anubis10–13-0.067%2 Aug →
ancient2–13-0.090%2 Aug →
cache13–11-0.0318%2 Aug →
anubis13–6-0.0519%1 Aug →
cache10–13-0.069%31 Jul →
anubis6–13-0.0510%31 Jul →
inferno11–13-0.0322%30 Jul →
dust29–13-0.0514%29 Jul →
dust213–11-0.0313%23 Jul →
inferno6–130.0414%21 Jul →
anubis7–13-0.047%21 Jul →
mirage13–60.0129%20 Jul →
inferno11–13-0.0413%19 Jul →
anubis7–13-0.0620%19 Jul →
ancient1–4-0.0250%19 Jul →
mirage12–12-0.0610%13 Jul →
inferno4–13-0.116%13 Jul →
inferno13–8-0.0312%12 Jul →
mirage8–13-0.0527%12 Jul →
boulder13–6-0.0117%12 Jul →
inferno13–4-0.014%9 Jul →
mirage10–13-0.0717%9 Jul →
inferno8–13-0.087%7 Jul →
mirage8–13-0.0515%7 Jul →
anubis9–13-0.0612%2 Jul →
ancient7–130.0020%2 Jul →
inferno13–9-0.0212%2 Jul →
overpass13–8-0.0211%2 Jul →
mirage13–5-0.0211%2 Jul →
ancient13–8-0.0129%29 Jun →
inferno13–6-0.0513%29 Jun →
anubis6–13-0.0822%28 Jun →
cache12–12-0.089%28 Jun →
mirage0–20.000%28 Jun →
dust213–1-0.0011%28 Jun →
inferno13–10.025%28 Jun →
ancient6–13-0.067%28 Jun →
mirage2–13-0.0515%23 Jun →
overpass13–10-0.0612%23 Jun →
mirage13–40.0311%22 Jun →
ancient13–40.037%21 Jun →
cache13–11-0.0411%21 Jun →
cache2–0-0.04100%21 Jun →
inferno13–8-0.0117%21 Jun →
ancient3–13-0.0315%21 Jun →
inferno2–13-0.0229%18 Jun →
ancient13–00.0521%18 Jun →
anubis13–10.0324%18 Jun →
cache4–13-0.0521%18 Jun →
cache7–13-0.0818%17 Jun →
ancient8–13-0.0422%17 Jun →
mirage13–8-0.0223%16 Jun →
inferno13–6-0.0026%16 Jun →
anubis12–12-0.0417%16 Jun →
cache13–10-0.0320%16 Jun →
overpass13–11-0.0021%15 Jun →
inferno0–13-0.0850%15 Jun →
anubis0–13-0.0818%15 Jun →
inferno10–130.0122%5 Jun →
cache13–6-0.0133%5 Jun →
overpass3–13-0.0619%2 Jun →
overpass13–11-0.0214%31 May →
anubis13–60.0716%31 May →
ancient13–7-0.0422%31 May →
nuke13–100.0129%30 May →
inferno6–13-0.069%29 May →
anubis4–13-0.0913%29 May →
cache6–13-0.0721%29 May →
mirage9–13-0.0113%27 May →
cache8–13-0.029%25 May →
inferno7–13-0.0620%22 May →
anubis13–3-0.0317%22 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.