Mallan

Mallan — CS2 Stats

SE76561197991335682[U:1:31069954]Steam profile ↗✓ No bans

2,453Tracked matches47%Win rate2020Tracked since
5,749Hours in CS
CSDB Rating4.9 DevelopingSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 2,453
0.0ppWin rate · 46.7% → 46.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 24 days played since 25 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

24Days played since 2026-07-25

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,082), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate44.5%44.8%45.7%1.3% short
Shot accuracy16.2%12.5%12.7%above
Kill/death ratio0.791.041.050.27 short
Match win rate41.6%45.2%45.7%4.1% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMallanFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.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

Aim67
Positioning30
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY5149Last 10051%Win rateWWLLLLWLLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +3.3pp headshot accuracy · +34ms reaction

Win rate 0pp 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

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 569ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 620ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 25%
  • Avg reaction 602ms

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: SupportUtility contribution stands above the rest of this profile (+3.1 against its own average).

Aim6.7
Utility6.1
Positioning3.0
Opening Duels0.0
Clutch2.8

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 88% 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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Reaction time. 615ms 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

Aim6.7
Positioning3.0
Utility6.1
Mechanics6.7
Opening Duels0.2
Win Impact3.9

Composite 4.9/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time619ms+11ms
first ⅓ avg 608ms → last ⅓ avg 619ms
Headshot accuracy22.4%+2.2%
first ⅓ avg 20.1% → last ⅓ avg 22.4%

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

0.15Best match rating · 13–5 · vertigo, 4 Aug
41%Best headshot accuracy · 13–5 · dust2, 11 Sept
422msFastest reaction time · 7–13 · vertigo, 31 Jul
13–2Biggest win · inferno, 6 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
97In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 67% over 6anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC1971237%-0.03
ancientS1711665%-0.02
cacheA149564%-0.03
anubisD103730%-0.05
vertigoA95456%-0.02
dust2C94544%-0.04
infernoA74357%-0.02
overpassS64267%-0.05
trainB63350%-0.03
nuke31233%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

206,207Lifetime kills
0.79K/D
13,513Matches
41.6%Match win rate
44.5%Headshot %
16.2%Shot accuracy · Top 25% of Level 6 players
25,442MVPs
5,749Hours (in match)
14,074Bombs planted
3,437Bombs defused

Most-used weapons

AK-4764,523
AWP18,818
FAMAS5,051
P2504,854
AUG4,764
UMP-454,324

Lifetime map wins

29,643dust2
22,645inferno
7,833vertigo
5,303nuke
3,372train
3,003cbble
110lake
62safehouse

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

Faceit stats

Combat

492Matches
51%Win rate
0.89Avg K/D
77.1ADR
45%Headshot %

Clutches & streaks

34%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3057%0.9515.5
Dust21861%0.7913.2
Ancient1136%0.8012.4
Inferno1030%1.1817.1
Anubis650%0.8012.2
Nuke425%0.7413.3
Vertigo333%0.6410.0
Cache2100%1.8223.0

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.

22.9%Headshot accuracy
31.7%Accuracy (enemy spotted)
32.6%Spray accuracy
80.3%Counter-strafing
9.6°Preaim
615msReaction time
18.3%T opening success
31.4%CT opening success
0.70Enemies flashed / flash
7.7%Flash assists
11.78HE damage / grenade
6.29Flashes / 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 18.3457% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–8-0.0012%22 Sept
cache13–90.0328%22 Sept
nuke11–13-0.0123%22 Sept
cache9–13-0.0735%21 Sept
dust24–13-0.0124%21 Sept
inferno9–13-0.0524%21 Sept
ancient16–12-0.0322%11 Sept
cache6–13-0.0328%11 Sept
nuke8–13-0.0729%11 Sept
dust213–5-0.0341%11 Sept
cache9–13-0.0737%11 Sept
dust26–13-0.0919%11 Sept
mirage7–13-0.0213%6 Sept
vertigo8–13-0.0522%6 Sept
inferno13–40.0415%5 Sept
overpass11–13-0.0624%5 Sept
cache16–13-0.0434%5 Sept
cache8–1-0.0238%4 Sept
mirage13–11-0.0316%4 Sept
inferno12–16-0.0916%4 Sept
dust213–9-0.0828%4 Sept
dust213–110.0124%3 Sept
cache13–90.0527%3 Sept
dust210–13-0.0410%3 Sept
vertigo9–13-0.0721%3 Sept
inferno13–9-0.0816%2 Sept
mirage7–13-0.0821%2 Sept
dust215–19-0.0523%2 Sept
cache13–11-0.0612%12 Aug
cache13–40.0213%8 Aug
ancient13–11-0.0516%8 Aug
vertigo8–13-0.0717%8 Aug
ancient13–7-0.0811%8 Aug
anubis8–13-0.035%8 Aug
train9–13-0.0525%7 Aug
overpass11–13-0.0820%7 Aug
anubis11–13-0.0520%7 Aug
ancient16–120.0012%7 Aug
ancient11–13-0.0424%6 Aug
inferno13–20.0623%6 Aug
mirage13–6-0.0111%6 Aug
mirage16–13-0.0725%6 Aug
ancient10–13-0.0719%6 Aug
overpass13–8-0.0718%5 Aug
inferno13–110.0527%5 Aug
ancient13–9-0.0231%5 Aug
train13–100.0015%5 Aug
anubis13–11-0.0321%5 Aug
ancient16–13-0.0120%4 Aug
cache10–130.0020%4 Aug
ancient13–50.0030%4 Aug
mirage16–13-0.018%4 Aug
ancient13–90.0123%4 Aug
vertigo13–50.1525%4 Aug
cache12–16-0.0421%3 Aug
inferno10–13-0.0613%3 Aug
mirage9–13-0.0214%3 Aug
mirage14–16-0.0116%2 Aug
cache13–8-0.0811%2 Aug
ancient8–13-0.0219%2 Aug
mirage9–13-0.0320%2 Aug
train6–13-0.0533%2 Aug
mirage10–130.0130%1 Aug
overpass13–7-0.0619%1 Aug
ancient13–100.0318%1 Aug
train13–2-0.0124%1 Aug
anubis10–13-0.0917%1 Aug
train9–13-0.0426%1 Aug
anubis3–13-0.0931%31 Jul
vertigo7–13-0.099%31 Jul
mirage3–13-0.0816%31 Jul
anubis13–5-0.0211%31 Jul
cache13–10-0.0713%31 Jul
mirage11–13-0.0129%30 Jul
ancient13–6-0.0121%30 Jul
overpass13–80.0216%30 Jul
mirage5–13-0.0735%30 Jul
ancient10–13-0.0323%30 Jul
train13–7-0.0616%30 Jul
ancient11–30.0522%30 Jul
ancient9–13-0.0410%29 Jul
vertigo13–90.0136%29 Jul
anubis3–13-0.1227%29 Jul
cache13–10-0.0327%29 Jul
anubis13–50.0217%28 Jul
nuke16–130.0118%28 Jul
dust27–13-0.0921%28 Jul
mirage8–13-0.0821%28 Jul
mirage13–11-0.0718%28 Jul
mirage13–10-0.0521%28 Jul
overpass13–11-0.0710%28 Jul
anubis9–13-0.0125%28 Jul
mirage13–80.0917%27 Jul
dust213–90.0221%27 Jul
anubis13–16-0.0715%27 Jul
ancient9–13-0.0417%26 Jul
vertigo13–5-0.0413%26 Jul
mirage9–13-0.0719%26 Jul
vertigo13–11-0.0123%26 Jul
mirage5–13-0.0521%25 Jul

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 →