mutant

mutant — CS2 Stats

76561197961857364[U:1:1591636]Steam profile ↗✓ No bans

3,079Tracked matches63%Win rate2020Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
Premier CS Rating19,834Top 50% of 205,709 CSDB-tracked playersPurple band · top ~9.2% of ranked players (population est.)
CSDB Leaderboard#86415 of 253299 tracked
FaceitLevel 6 · 1,225 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (42 days ago). 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: 19,834 -271 7 Feb – 6 Sept · 26 days played
17,64922,071peak 22,0717 Feb6 Sept
22,338Peak Premier in tracked matches
1,225Highest Faceit ELO seen on CSDB
39Days played since 2026-02-07

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 2026-08-31
  • Level 5 first seen 2026-08-31

Premier CS Rating

  • 2,237 below peak (22,071)
  • Next: Pink band at 20,000 — 166 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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

Share this profile

CSDB.GGmutantFACEITLevel 6 · 1,225 ELOSTANDINGTop 54.0% of rankedPREMIER19,834 · Purple bandPEAK 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

Aim61
Positioning48
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWLWWLWLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −2.7pp headshot accuracy · −65ms reaction

Win rate down 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 525ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 520ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 552ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.1
Utility4.3
Positioning4.8
Opening Duels2.9
Clutch4.2

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

jL

Plays most like jL 89% 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. 580ms 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

Aim6.1
Positioning4.8
Utility4.3
Mechanics5.7
Opening Duels1.1
Win Impact9.4

Composite 5.3/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time579ms−41ms
first ⅓ avg 620ms → last ⅓ avg 579ms
Headshot accuracy15.1%+1.0%
first ⅓ avg 14.1% → 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

0.12Best match rating · 9–3 · inferno, 27 Feb →
38%Best headshot accuracy · 13–11 · mirage, 15 Jul →
367msFastest reaction time · 13–7 · inferno, 28 Feb →
13–2Biggest win · dust2, 14 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
8–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 70% over 10dust2Weakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D217–1433%-0.03
mirageB158–753%-0.01
anubisB147–750%-0.02
infernoC146–843%-0.00
ancientB136–746%-0.03
nukeS107–370%-0.01
overpassA85–363%0.02
cacheA53–260%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,279Matches
50%Win rate
0.98Avg K/D
68.5ADR
38%Headshot %

Clutches & streaks

41%1v1 clutch win
13%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis10144%0.8613.3
Ancient9347%0.8912.8
Mirage5953%0.9013.6
Nuke4260%0.9514.9
Inferno3152%0.8612.7
Vertigo3053%1.0916.6
Overpass1338%0.8515.1
Dust2617%1.0615.5

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.

15.1%Headshot accuracy
34.3%Accuracy (enemy spotted)
35.2%Spray accuracy
75.8%Counter-strafing
10.0°Preaim
580msReaction time
34.0%T opening success
35.1%CT opening success
0.47Enemies flashed / flash
4.2%Flash assists
6.40HE damage / grenade
6.04Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4692 — below the 0.5 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 33.9917% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–9-0.058%6 Sept →
nuke13–100.0115%6 Sept →
nuke8–13-0.008%6 Sept →
anubis13–8-0.0610%6 Sept →
anubis13–7-0.0211%5 Sept →
dust25–13-0.0510%26 Jul →
anubis13–11-0.0212%26 Jul →
ancient9–13-0.0311%26 Jul →
overpass13–40.0815%26 Jul →
anubis10–13-0.0113%25 Jul →
mirage13–90.0418%24 Jul →
inferno8–13-0.039%23 Jul →
mirage0–5-0.020%23 Jul →
inferno13–7-0.0516%22 Jul →
cache13–9-0.0621%21 Jul →
ancient13–9-0.0219%21 Jul →
cache13–5-0.0020%19 Jul →
cache13–8-0.0112%19 Jul →
anubis13–80.0213%19 Jul →
nuke13–110.0612%19 Jul →
mirage10–13-0.0514%19 Jul →
inferno13–40.0523%18 Jul →
mirage13–3-0.009%18 Jul →
ancient13–6-0.0213%18 Jul →
mirage13–110.0238%15 Jul →
cache9–13-0.0231%15 Jul →
mirage5–13-0.0712%15 Jul →
anubis11–13-0.0310%14 Jul →
overpass13–110.0820%4 Jul →
inferno11–13-0.0222%4 Jul →
ancient10–13-0.0218%27 Jun →
anubis11–130.0219%6 May →
cache12–12-0.0414%30 Apr →
nuke13–6-0.0021%28 Apr →
dust20–6-0.038%28 Apr →
dust29–13-0.038%24 Apr →
dust210–13-0.0526%24 Apr →
dust212–12-0.0119%23 Apr →
ancient6–13-0.0316%21 Mar →
overpass13–90.0913%18 Mar →
ancient2–13-0.0510%17 Mar →
mirage13–90.0630%13 Mar →
nuke5–13-0.148%13 Mar →
inferno7–13-0.0312%6 Mar →
inferno11–13-0.0112%4 Mar →
mirage8–13-0.037%3 Mar →
mirage13–6-0.0113%3 Mar →
ancient10–13-0.0115%3 Mar →
anubis10–13-0.0515%3 Mar →
inferno13–110.1119%3 Mar →
dust27–13-0.0522%2 Mar →
dust29–13-0.0819%1 Mar →
inferno9–13-0.0625%28 Feb →
mirage13–8-0.0621%28 Feb →
inferno13–8-0.0110%28 Feb →
dust213–3-0.0212%28 Feb →
inferno13–7-0.056%28 Feb →
dust213–50.0022%28 Feb →
nuke13–110.0224%28 Feb →
dust213–16-0.0419%27 Feb →
mirage10–130.0217%27 Feb →
overpass9–13-0.0310%27 Feb →
dust213–7-0.078%27 Feb →
anubis6–130.0318%27 Feb →
inferno9–30.129%27 Feb →
inferno6–9-0.0511%27 Feb →
overpass14–16-0.0411%26 Feb →
anubis9–13-0.0011%25 Feb →
dust210–13-0.0510%17 Feb →
anubis4–13-0.0614%14 Feb →
ancient13–90.0012%14 Feb →
mirage13–90.0113%14 Feb →
dust213–20.0318%14 Feb →
mirage13–10-0.019%14 Feb →
nuke13–30.0438%14 Feb →
nuke8–13-0.039%14 Feb →
dust24–13-0.048%14 Feb →
nuke16–14-0.0115%14 Feb →
dust213–6-0.0317%13 Feb →
mirage9–13-0.0513%13 Feb →
dust215–15-0.0314%12 Feb →
ancient13–8-0.0312%9 Feb →
overpass13–80.0021%9 Feb →
overpass13–90.0128%8 Feb →
anubis13–10-0.0416%8 Feb →
inferno15–150.0212%8 Feb →
dust29–130.0319%8 Feb →
anubis13–110.019%7 Feb →
nuke13–8-0.038%7 Feb →
mirage3–13-0.0510%7 Feb →
ancient13–10-0.0117%7 Feb →
dust26–13-0.096%7 Feb →
ancient13–6-0.0414%7 Feb →
dust213–90.0214%7 Feb →
inferno10–13-0.0412%7 Feb →
overpass10–13-0.0513%7 Feb →
dust28–13-0.0219%7 Feb →
ancient10–13-0.048%7 Feb →
ancient9–13-0.0911%7 Feb →
anubis13–50.0017%7 Feb →

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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