k1ssMyTurku

k1ssMyTurku — CS2 Stats

76561198165405344[U:1:205139616]Steam profile ↗✓ No bans

1,297Tracked matches59%Win rate2020Tracked since
3,520Hours in CS
CSDB Rating6.5 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,166 → 2,166
+1Tracked matches · now 1,297
0.0ppWin rate · 59.3% → 59.3%

Rating over time

Premier CS Rating: 20,533 -3,214 15 Jan – 3 Apr · 5 days played
20,53323,747peak 23,74715 Jan3 Apr
23,747Peak Premier in tracked matches
2,166Highest Faceit ELO seen on CSDB
46Days played since 2026-01-02

Faceit ELO

  • At peak — 2,166
  • Next: 2,500 ELO at 2,500 — 334 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-18
  • Level 9 first seen 2026-09-18

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.

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CSDB.GGk1ssMyTurkuPEAK ELO2,166csdb.gg/stats

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Performance scores

Aim77
Positioning52
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY58–34–8Last 10058%Win rateLWWWLWLLWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +11.9pp headshot accuracy · −45ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 33%
  • Avg reaction 441ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 29%
  • Avg reaction 501ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 524ms

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 (+1.7 against its own average).

Aim7.7
Utility6.8
Positioning5.2
Opening Duels3.8
Clutch4.6

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

device

Plays most like device 86% 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

T-side openings. Opening success drops from 49% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.7
Positioning5.2
Utility6.8
Mechanics6.8
Opening Duels2.7
Win Impact8.1

Composite 6.5/10 (Solid), 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 rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time545ms+2ms
first ⅓ avg 543ms → last ⅓ avg 545ms
Headshot accuracy21.8%−0.8%
first ⅓ avg 22.6% → last ⅓ avg 21.8%

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

0.26Best match rating · 9–2 · eldorado, 29 Aug →
67%Best headshot accuracy · 1–9 · inferno, 30 Sept →
344msFastest reaction time · 4–13 · nuke, 14 Jan →
13–0Biggest win · train, 5 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 89% over 9anubisWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA2011–955%0.03
infernoB136–746%0.02
nukeB137–654%0.01
overpassS96–367%0.03
anubisC94–544%0.02
dust2S98–189%0.08
ancientB63–350%0.00
vertigoS54–180%0.08
cache—41–325%0.03
sanctum—32–167%0.11
poseidon—20–20%0.00
train—22–0100%0.14
golden—22–0100%0.03
debris—11–0100%0.16
eldorado—11–0100%0.26
alpine—10–10%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

163,105Lifetime kills
1.38K/D · Top 10% of tracked players
5,931Matches
46.5%Match win rate · Top 50% of tracked players
47.1%Headshot % · Top 50% of tracked players
13.6%Shot accuracy · Top 50% of tracked players
18,868MVPs
3,520Hours (in match)
5,076Bombs planted
1,889Bombs defused

Most-used weapons

AK-4757,613
AWP17,018
P2503,046
P902,770

Lifetime map wins

9,372inferno
4,982dust2
2,998nuke
1,873vertigo
1,761train
1,129cbble
257office
197italy

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

Faceit stats

Combat

556Matches
56%Win rate
1.40Avg K/D
91.1ADR
43%Headshot %

Clutches & streaks

43%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5758%1.3918.9
Ancient4648%1.3018.1
Inferno4657%1.5119.8
Overpass2774%1.7018.2
Anubis2564%1.4317.7
Nuke1867%1.2116.9
Vertigo1250%1.3719.6
Train450%1.3625.0

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.

19.7%Headshot accuracy
35.7%Accuracy (enemy spotted)
38.9%Spray accuracy
80.8%Counter-strafing
10.3°Preaim
541msReaction time
32.3%T opening success
49.3%CT opening success
0.59Enemies flashed / flash
8.4%Flash assists
9.60HE damage / grenade
14.14Flashes / 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 32.2632% — 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno1–9-0.2867%30 Sept →
debris9–70.1633%29 Aug →
eldorado9–20.2629%29 Aug →
nuke16–14-0.0618%17 Aug →
mirage5–130.0121%14 Aug →
nuke13–80.0221%22 Jun →
cache11–130.1421%22 Jun →
cache10–13-0.0333%12 May →
cache13–80.0415%12 May →
inferno14–160.0230%3 May →
cache11–13-0.0329%2 May →
ancient13–10-0.0213%2 May →
ancient7–13-0.0318%3 Apr →
overpass6–100.0311%1 Apr →
mirage15–150.0016%26 Mar →
mirage13–80.0223%18 Mar →
inferno6–130.0112%18 Mar →
inferno13–110.0414%15 Mar →
anubis12–12-0.0218%15 Mar →
overpass13–70.0215%15 Mar →
mirage16–130.0113%15 Mar →
inferno13–80.0410%15 Mar →
mirage13–80.0840%13 Mar →
dust213–60.0218%12 Mar →
mirage7–130.019%10 Mar →
mirage13–80.0623%6 Mar →
alpine7–130.0529%2 Mar →
vertigo13–100.1019%2 Mar →
mirage15–150.0526%15 Feb →
nuke13–80.0413%13 Feb →
inferno14–160.1424%13 Feb →
overpass13–11-0.0223%12 Feb →
sanctum9–50.1817%7 Feb →
mirage13–80.0221%7 Feb →
mirage13–80.0535%6 Feb →
ancient11–20.0411%6 Feb →
sanctum6–9-0.0045%28 Jan →
poseidon3–9-0.0325%28 Jan →
overpass6–130.0118%26 Jan →
nuke5–130.0313%25 Jan →
mirage13–30.0720%25 Jan →
anubis9–13-0.0113%24 Jan →
sanctum9–50.1632%24 Jan →
poseidon8–80.0328%24 Jan →
inferno5–13-0.0519%23 Jan →
mirage13–2-0.0022%23 Jan →
inferno13–90.0214%22 Jan →
mirage6–130.0121%22 Jan →
dust213–9-0.0419%21 Jan →
overpass13–90.0325%21 Jan →
nuke1–13-0.0513%21 Jan →
overpass13–50.0622%19 Jan →
mirage13–100.0813%18 Jan →
dust28–130.0714%18 Jan →
vertigo13–20.1333%17 Jan →
ancient6–130.0321%17 Jan →
train13–40.1437%17 Jan →
mirage13–40.0811%16 Jan →
nuke6–1-0.0329%16 Jan →
ancient13–80.0519%15 Jan →
nuke4–130.0127%14 Jan →
dust213–40.1716%14 Jan →
mirage9–13-0.0316%14 Jan →
anubis13–100.0730%14 Jan →
anubis7–130.0416%12 Jan →
inferno11–130.0720%12 Jan →
mirage12–120.0317%12 Jan →
anubis13–100.0314%12 Jan →
nuke12–12-0.0511%12 Jan →
inferno13–20.1420%12 Jan →
nuke3–13-0.0429%12 Jan →
nuke13–90.1533%11 Jan →
overpass13–30.0424%11 Jan →
mirage13–110.0117%10 Jan →
anubis6–130.0318%9 Jan →
overpass10–130.0333%7 Jan →
mirage6–13-0.0319%7 Jan →
inferno14–160.0423%6 Jan →
train13–00.1325%5 Jan →
nuke13–90.0731%5 Jan →
dust213–100.1425%5 Jan →
vertigo9–130.0613%5 Jan →
dust213–40.1231%5 Jan →
inferno13–110.0433%5 Jan →
overpass13–80.0915%5 Jan →
vertigo13–8-0.0128%4 Jan →
ancient11–13-0.0424%4 Jan →
inferno13–110.0426%4 Jan →
anubis13–100.0425%4 Jan →
dust213–60.0132%4 Jan →
golden13–90.0014%3 Jan →
anubis12–120.0123%3 Jan →
anubis7–00.000%3 Jan →
nuke13–11-0.0117%3 Jan →
golden13–40.0628%3 Jan →
dust213–110.1530%3 Jan →
vertigo13–30.1427%3 Jan →
mirage12–120.0723%3 Jan →
nuke10–130.1117%3 Jan →
dust213–100.0619%2 Jan →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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