kylskåp

kylskåp — CS2 Stats

PN76561198031673352[U:1:71407624]Steam profile ↗VAC banned

1,955Tracked matches69%Win rate2020Tracked since
CSDB Rating7.3 StrongSupport
Premier CS Rating22,921Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#45112 of 261515 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 22,921 → 22,921
+2Tracked matches · now 1,955
+3.4ppWin rate · 65.5% → 69.0%

Rating over time

Premier CS Rating: 22,921 -119 26 Jul – 2 Oct · 7 days played
22,92123,040peak 23,04026 Jul2 Oct
23,040Peak Premier in tracked matches
27Days played since 2026-07-18

Premier CS Rating

  • 119 below peak (23,040)
  • 0 over 30 days · steady
  • Next: Red band at 25,000 — 2,079 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-07
  • Purple band first seen 2026-09-07

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

Share this profile

CSDB.GGkylskåpFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,921 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning60
Utility78

0–100 skill scores via Leetify.

Recent form

STEADY60–37–3Last 10060%Win rateWWTWLWWLLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +5.6pp headshot accuracy · −29ms reaction

Win rate up 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 580ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 571ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 586ms

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 (+2.1 against its own average).

Aim8.0
Utility7.8
Positioning6.0
Opening Duels4.2
Clutch4.6

High utility contribution

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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 12.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 578ms 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

Aim8.0
Positioning6.0
Utility7.8
Mechanics6.9
Opening Duels3.2
Win Impact10.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time589ms−83ms
first ⅓ avg 672ms → last ⅓ avg 589ms
Headshot accuracy18.1%−2.3%
first ⅓ avg 20.4% → last ⅓ avg 18.1%

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

0.35Best match rating · 9–4 · inferno, 9 Sept →
39%Best headshot accuracy · 13–1 · vertigo, 21 Jul →
391msFastest reaction time · 6–13 · dust2, 11 Aug →
13–1Biggest win · vertigo, 21 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W2Current streak
8–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

vertigoBest map · 73% over 11mirageWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS1913–668%0.06
nukeA149–564%0.04
ancientS1410–471%0.03
dust2B136–746%0.03
vertigoS118–373%0.03
trainS107–370%0.07
mirageC52–340%0.03
cache—42–250%0.02
overpass—21–150%-0.03
debris—20–20%-0.10
italy—21–150%0.04
poseidon—10–10%0.03
anubis—10–10%0.01
shelter—11–0100%0.06
boulder—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,309Matches
50%Win rate
1.26Avg K/D
98.7ADR
33%Headshot %

Clutches & streaks

43%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2065%1.9321.9
Ancient1741%1.1719.5
Vertigo1567%1.9820.7
Mirage1436%1.1117.0
Nuke1354%1.6523.2
Anubis1338%1.6621.1
Overpass367%1.4016.0
Dust2250%1.3325.5

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.

17.3%Headshot accuracy
40.8%Accuracy (enemy spotted)
49.9%Spray accuracy
81.2%Counter-strafing
12.2°Preaim
578msReaction time
36.7%T opening success
49.1%CT opening success
0.68Enemies flashed / flash
15.1%Flash assists
16.10HE damage / grenade
8.09Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1574° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–60.0432%6 Nov →
overpass13–5-0.0115%17 Sept →
inferno12–120.0822%9 Sept →
dust213–20.0727%9 Sept →
cache2–13-0.1120%9 Sept →
inferno13–70.0516%9 Sept →
nuke13–110.0213%9 Sept →
dust24–100.0226%9 Sept →
nuke4–9-0.0223%9 Sept →
inferno9–40.3524%9 Sept →
inferno13–80.012%23 Aug →
train13–80.1020%23 Aug →
overpass6–9-0.0514%22 Aug →
poseidon8–80.0333%22 Aug →
debris1–9-0.196%22 Aug →
train8–13-0.0212%21 Aug →
nuke13–6-0.0015%21 Aug →
inferno9–130.0425%21 Aug →
vertigo13–60.0624%21 Aug →
vertigo9–130.0311%20 Aug →
inferno13–110.0015%20 Aug →
ancient8–13-0.0013%20 Aug →
nuke13–80.0129%20 Aug →
debris5–9-0.0221%19 Aug →
ancient10–130.0416%17 Aug →
dust213–110.0326%17 Aug →
inferno13–20.0617%16 Aug →
nuke13–70.0917%16 Aug →
inferno11–130.0416%14 Aug →
nuke13–30.078%14 Aug →
vertigo16–140.1117%14 Aug →
anubis6–130.0112%14 Aug →
mirage13–100.0314%13 Aug →
cache13–100.0520%13 Aug →
ancient13–90.0114%11 Aug →
nuke13–70.0311%11 Aug →
dust26–13-0.0425%11 Aug →
inferno13–100.0926%11 Aug →
vertigo13–11-0.0121%11 Aug →
mirage9–13-0.068%11 Aug →
ancient13–80.1425%11 Aug →
dust23–11-0.0619%10 Aug →
ancient16–140.0316%10 Aug →
inferno11–13-0.0217%10 Aug →
dust28–130.0420%9 Aug →
nuke17–190.0613%9 Aug →
ancient13–50.1018%9 Aug →
vertigo13–50.0513%9 Aug →
mirage9–13-0.009%8 Aug →
vertigo13–80.059%8 Aug →
train13–80.1029%8 Aug →
ancient13–100.1021%8 Aug →
inferno7–13-0.1015%8 Aug →
dust25–130.0321%7 Aug →
ancient11–13-0.0314%7 Aug →
inferno13–100.1114%6 Aug →
vertigo16–19-0.0021%6 Aug →
inferno13–110.0319%6 Aug →
nuke17–190.0315%6 Aug →
train7–10.0438%6 Aug →
train13–20.0911%5 Aug →
dust213–40.0517%5 Aug →
train14–160.0316%4 Aug →
inferno13–90.0431%4 Aug →
train13–20.0322%4 Aug →
ancient13–90.0115%4 Aug →
mirage13–20.1618%1 Aug →
dust213–20.2122%1 Aug →
train13–40.1922%1 Aug →
vertigo13–20.0426%1 Aug →
ancient13–8-0.0613%1 Aug →
dust213–6-0.0526%26 Jul →
nuke13–90.0619%26 Jul →
cache9–13-0.0012%26 Jul →
ancient13–70.0216%26 Jul →
dust215–150.0810%26 Jul →
nuke6–130.035%26 Jul →
nuke13–40.1118%25 Jul →
inferno13–30.1627%25 Jul →
mirage5–130.0018%25 Jul →
dust213–80.0419%25 Jul →
ancient13–160.0117%25 Jul →
inferno13–20.1119%25 Jul →
cache13–30.1621%25 Jul →
nuke9–130.0013%25 Jul →
ancient13–70.0024%25 Jul →
shelter13–80.0621%24 Jul →
italy9–130.0135%24 Jul →
dust211–13-0.034%22 Jul →
vertigo6–130.0115%22 Jul →
ancient13–90.0516%22 Jul →
inferno13–110.0126%22 Jul →
train7–130.0829%22 Jul →
train13–100.0624%21 Jul →
boulder9–13-0.0318%21 Jul →
inferno4–13-0.0133%21 Jul →
vertigo13–1-0.0239%21 Jul →
italy13–50.0726%21 Jul →
inferno13–60.1015%18 Jul →
vertigo9–60.0527%18 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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