Gängstä Lyttä

Gängstä Lyttä — CS2 Stats

FI76561199195724329[U:1:1235458601]Steam profile ↗✓ No bans

2,980Tracked matches41%Win rate2021Tracked since
3,547Hours in CS29Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
FaceitLevel 10 · 1,808 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,832 -3,657 24 Jun – 23 Sept · 17 days played
17,83222,727peak 22,72724 Jun23 Sept
22,732Peak Premier in tracked matches
1,808Highest Faceit ELO seen on CSDB
49Days played since 2026-06-24

Faceit ELO

  • At peak — 1,808
  • Next: Level 10 at 2,001 — 193 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=31,884), 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 10 median
Headshot rate48.6%50.9%
Shot accuracy11.9%13.7%
Kill/death ratio1.011.09
Match win rate46.8%48.4%

Share this profile

CSDB.GGGängstä LyttäFACEITLevel 10 · 1,808 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,808csdb.gg/stats

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Performance scores

Aim64
Positioning56
Utility52

0–100 skill scores via Leetify.

Recent form

COLD40–52–8Last 10040%Win rateWTLLLLTLLL

Last 10 vs previous 10: −50pp win rate · −0.08 avg rating · −4.0pp headshot accuracy · −2ms reaction

Win rate down 50pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 26%
  • Avg reaction 506ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 558ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 559ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim6.4
Utility5.2
Positioning5.6
Opening Duels2.3
Clutch3.8

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 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 562ms 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

Aim6.4
Positioning5.6
Utility5.2
Mechanics6.2
Opening Duels3.3
Win Impact1.9

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time557ms−92ms
first ⅓ avg 648ms → last ⅓ avg 557ms
Headshot accuracy27.3%+0.9%
first ⅓ avg 26.4% → last ⅓ avg 27.3%

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

0.19Best match rating · 7–9 · inferno, 8 Jul →
100%Best headshot accuracy · 2–0 · inferno, 2 Oct →
375msFastest reaction time · 9–13 · mirage, 5 Oct →
13–1Biggest win · nuke, 15 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 50% over 22infernoWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
mirageB2211–1150%-0.01
infernoD206–1430%0.02
nukeB199–1047%-0.00
cacheD124–833%0.01
ancientC125–742%0.02
dust2B105–550%0.01
anubis—30–30%-0.03
vertigo—20–20%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,813Lifetime kills
1.01K/D
4,689Matches
46.8%Match win rate
48.6%Headshot %
11.9%Shot accuracy
13,761MVPs
1,825Hours (in match)
3,237Bombs planted
2,231Bombs defused

Most-used weapons

AK-4730,791
AWP10,141
MP92,570
FAMAS1,921
Knife1,600

Lifetime map wins

8,741nuke
7,886inferno
4,736vertigo
3,471dust2
2,568train
205cbble
167lake
151office

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

Faceit stats

Combat

426Matches
53%Win rate
1.19Avg K/D
84.0ADR
51%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10552%1.2117.4
Nuke5661%1.2917.3
Ancient5459%1.2417.6
Anubis5155%1.2517.4
Inferno3653%1.2419.1
Dust23447%1.0415.4
Vertigo2454%1.4118.1
Cache1644%0.9712.8

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.

25.3%Headshot accuracy
27.7%Accuracy (enemy spotted)
31.4%Spray accuracy
78.1%Counter-strafing
10.2°Preaim
562msReaction time
43.4%T opening success
43.3%CT opening success
0.60Enemies flashed / flash
6.0%Flash assists
7.94HE damage / grenade
6.58Flashes / match

Recommended for you

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.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–1-0.1115%15 Nov →
cache12–120.0020%15 Nov →
dust28–13-0.0344%15 Nov →
nuke9–13-0.0636%13 Nov →
inferno3–13-0.1015%12 Nov →
mirage11–13-0.0827%12 Nov →
cache12–12-0.0019%9 Nov →
inferno5–13-0.0317%9 Nov →
nuke11–13-0.0222%8 Nov →
nuke2–13-0.0110%3 Nov →
vertigo5–130.054%3 Nov →
cache5–13-0.0022%3 Nov →
mirage8–00.1463%3 Nov →
inferno13–100.0318%1 Nov →
ancient12–120.0110%31 Oct →
nuke13–60.0139%31 Oct →
mirage13–6-0.0322%31 Oct →
nuke13–90.1036%30 Oct →
ancient9–13-0.0119%27 Oct →
nuke13–110.0133%25 Oct →
mirage13–7-0.0915%25 Oct →
ancient11–130.0530%21 Oct →
ancient13–110.0732%20 Oct →
mirage9–13-0.0424%5 Oct →
vertigo9–13-0.0740%2 Oct →
inferno3–13-0.0023%2 Oct →
mirage9–13-0.0441%2 Oct →
nuke7–13-0.0219%2 Oct →
inferno2–00.02100%2 Oct →
mirage13–70.0517%24 Sept →
mirage8–130.0616%23 Sept →
dust24–13-0.0134%23 Sept →
cache11–13-0.0015%19 Sept →
dust210–13-0.0820%19 Sept →
nuke8–80.0117%19 Sept →
cache2–13-0.0213%18 Sept →
inferno13–110.1223%18 Sept →
ancient13–100.0118%12 Sept →
nuke13–11-0.0010%12 Sept →
dust213–11-0.0219%3 Sept →
anubis3–13-0.0424%1 Sept →
inferno13–80.0641%30 Aug →
inferno11–130.0539%27 Aug →
inferno12–120.0329%12 Aug →
cache11–13-0.0430%8 Aug →
nuke13–80.0430%1 Aug →
inferno7–130.0727%29 Jul →
mirage13–10-0.0327%29 Jul →
nuke7–130.0236%22 Jul →
mirage8–130.0933%21 Jul →
mirage2–13-0.0531%19 Jul →
ancient10–130.0438%19 Jul →
mirage10–13-0.0737%16 Jul →
inferno5–13-0.0223%16 Jul →
cache13–7-0.0421%16 Jul →
inferno3–13-0.0933%16 Jul →
dust216–130.0419%16 Jul →
mirage13–10.0821%15 Jul →
cache13–70.0725%15 Jul →
ancient15–150.0526%14 Jul →
mirage5–13-0.0215%14 Jul →
nuke13–7-0.0127%12 Jul →
dust25–13-0.0240%12 Jul →
inferno13–30.0327%11 Jul →
mirage9–130.0121%11 Jul →
cache13–110.0621%11 Jul →
cache15–150.0223%11 Jul →
inferno13–40.0236%11 Jul →
mirage6–13-0.0241%11 Jul →
mirage11–20.1116%10 Jul →
cache10–130.0528%10 Jul →
dust28–13-0.0441%10 Jul →
mirage13–90.0021%9 Jul →
inferno8–13-0.0426%9 Jul →
inferno7–130.0419%8 Jul →
cache13–40.0725%8 Jul →
nuke9–60.1117%8 Jul →
inferno7–90.1923%8 Jul →
mirage16–12-0.0517%5 Jul →
dust213–60.0739%5 Jul →
anubis3–13-0.0218%4 Jul →
ancient13–50.0129%4 Jul →
dust213–60.0618%4 Jul →
inferno11–13-0.050%3 Jul →
ancient13–100.0124%3 Jul →
nuke5–13-0.0735%2 Jul →
nuke13–11-0.0037%2 Jul →
mirage13–9-0.0332%1 Jul →
nuke8–13-0.0420%28 Jun →
mirage13–8-0.0526%27 Jun →
ancient12–160.0132%27 Jun →
ancient13–11-0.0023%26 Jun →
dust213–30.1539%26 Jun →
mirage3–13-0.0656%25 Jun →
inferno4–130.0411%25 Jun →
nuke8–130.0816%25 Jun →
inferno15–150.0224%25 Jun →
anubis12–16-0.0430%24 Jun →
nuke8–13-0.0729%24 Jun →
ancient5–13-0.0421%24 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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