MaNgLeR

MaNgLeR — CS2 Stats

SE76561197960433350[U:1:167622]Steam profile ↗✓ No bans

1,694Tracked matches41%Win rate2020Tracked since
CSDB Rating4.8 DevelopingSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+18Tracked matches · now 1,694
−18.6ppWin rate · 60.0% → 41.4%

Rating over time

28Days played since 2026-06-24

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

Share this profile

CSDB.GGMaNgLeRFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning44
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWLWLLWWLWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · −0.4pp headshot accuracy · −13ms reaction

Win rate up 30pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 573ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 590ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 597ms

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 (+2.7 against its own average).

Aim6.2
Utility6.5
Positioning4.4
Opening Duels0.5
Clutch4.0

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 79% 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. 601ms 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

Aim6.2
Positioning4.4
Utility6.5
Mechanics5.3
Opening Duels1.1
Win Impact2.1

Composite 4.8/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time596ms−76ms
first ⅓ avg 672ms → last ⅓ avg 596ms
Headshot accuracy16.6%+0.1%
first ⅓ avg 16.5% → last ⅓ avg 16.6%

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

0.20Best match rating · 13–4 · nuke, 26 Sept →
27%Best headshot accuracy · 7–13 · inferno, 12 Oct →
391msFastest reaction time · 13–3 · cache, 25 Jun →
13–1Biggest win · overpass, 24 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
14–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 64% over 14anubisWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB2714–1352%0.01
cacheB2111–1052%0.02
nukeB189–950%0.04
overpassA149–564%0.02
anubisC145–936%-0.02
ancient—33–0100%0.00
dust2—20–20%-0.04
vertigo—10–10%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

974Matches
51%Win rate
1.16Avg K/D
73.8ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
30%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5756%1.1215.5
Inferno5151%1.1014.3
Ancient3342%1.0316.4
Anubis2854%1.1116.6
Dust22642%1.0915.4
Nuke1233%1.0114.4
Overpass757%1.4614.1
Vertigo757%0.9915.0

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.

17.1%Headshot accuracy
36.8%Accuracy (enemy spotted)
34.1%Spray accuracy
73.7%Counter-strafing
10.5°Preaim
601msReaction time
24.3%T opening success
38.6%CT opening success
0.53Enemies flashed / flash
5.9%Flash assists
12.52HE damage / grenade
17.56Flashes / 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 24.3364% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–60.0712%12 Oct →
inferno7–13-0.0827%12 Oct →
nuke13–40.0316%28 Sept →
inferno9–130.0224%26 Sept →
nuke8–130.0318%26 Sept →
nuke13–40.2011%26 Sept →
overpass13–100.0416%26 Sept →
overpass11–130.0116%26 Sept →
inferno19–170.0422%25 Sept →
inferno13–70.0617%25 Sept →
nuke16–19-0.0316%25 Sept →
overpass13–100.0113%25 Sept →
nuke7–130.0115%25 Sept →
overpass9–130.0123%25 Sept →
cache3–13-0.0413%25 Sept →
inferno6–13-0.0624%16 Sept →
cache9–13-0.0225%16 Sept →
anubis12–12-0.0620%9 Sept →
cache19–170.0618%14 Aug →
nuke16–130.0913%14 Aug →
inferno13–110.0118%14 Aug →
nuke13–4-0.0115%8 Aug →
cache5–13-0.023%8 Aug →
inferno9–130.0316%7 Aug →
overpass8–13-0.0122%7 Aug →
cache16–140.1311%7 Aug →
nuke10–130.0217%6 Aug →
inferno3–13-0.0623%6 Aug →
cache11–130.0016%6 Aug →
nuke5–13-0.0811%5 Aug →
inferno13–60.0516%5 Aug →
anubis13–7-0.038%5 Aug →
anubis4–13-0.0413%5 Aug →
nuke4–13-0.0024%5 Aug →
overpass11–130.019%4 Aug →
cache5–13-0.0319%4 Aug →
cache13–60.0520%4 Aug →
cache13–50.0619%4 Aug →
nuke13–3-0.0110%3 Aug →
inferno13–30.0022%3 Aug →
dust28–13-0.0317%3 Aug →
overpass13–100.1010%3 Aug →
ancient16–140.0118%2 Aug →
inferno13–90.0713%2 Aug →
inferno13–30.0914%1 Aug →
cache13–9-0.0020%1 Aug →
inferno13–110.0817%1 Aug →
anubis13–5-0.0320%1 Aug →
anubis8–13-0.0115%1 Aug →
inferno13–70.0210%1 Aug →
inferno13–110.017%31 Jul →
inferno13–110.0213%31 Jul →
anubis13–110.0412%31 Jul →
nuke13–80.0714%31 Jul →
overpass4–13-0.045%31 Jul →
inferno9–130.0625%25 Jul →
inferno13–6-0.0321%25 Jul →
nuke13–100.1318%25 Jul →
anubis5–13-0.0015%25 Jul →
overpass13–110.0312%25 Jul →
anubis1–13-0.0518%25 Jul →
overpass13–40.0920%24 Jul →
overpass13–1-0.0214%24 Jul →
cache13–10.0711%24 Jul →
inferno10–13-0.058%24 Jul →
inferno13–3-0.015%24 Jul →
inferno11–13-0.029%22 Jul →
cache13–11-0.0112%22 Jul →
cache7–13-0.0320%22 Jul →
inferno2–13-0.0119%22 Jul →
cache10–130.0125%21 Jul →
inferno4–13-0.0817%21 Jul →
ancient13–110.0114%21 Jul →
nuke4–13-0.068%10 Jul →
cache11–130.0116%10 Jul →
cache14–16-0.0021%9 Jul →
nuke14–160.0816%9 Jul →
inferno10–130.1024%9 Jul →
nuke13–70.0624%8 Jul →
overpass13–80.0610%8 Jul →
nuke13–60.0819%7 Jul →
anubis5–13-0.0222%7 Jul →
inferno4–13-0.129%27 Jun →
cache9–13-0.028%27 Jun →
inferno11–130.0014%27 Jun →
overpass13–11-0.0414%27 Jun →
overpass25–220.0315%26 Jun →
ancient13–5-0.0217%26 Jun →
cache13–5-0.0118%26 Jun →
vertigo12–160.0011%26 Jun →
anubis9–13-0.0322%26 Jun →
anubis11–13-0.0315%26 Jun →
anubis13–50.0117%26 Jun →
cache13–30.078%25 Jun →
dust26–13-0.0625%25 Jun →
nuke4–130.0623%24 Jun →
anubis10–130.0320%24 Jun →
anubis13–9-0.0111%24 Jun →
cache13–40.0321%24 Jun →
inferno13–110.0112%24 Jun →

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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