Slærki

Slærki — CS2 Stats

NO76561198075371897[U:1:115106169]Steam profile ↗VAC banned

1,295Tracked matches46%Win rate2020Tracked since
2,624Hours in CS0Hrs last 2 wks
CSDB Rating4.3 DevelopingSupport
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 1,295 tracked matches. Play, then come back: the next observation lands here.

Rating over time

27Days played since 2026-05-20

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

Performance scores

Aim51
Positioning35
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateLWWLLLWLLW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −0.2pp headshot accuracy · −137ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 530ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 568ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 636ms

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 (+1.2 against its own average).

Aim5.1
Utility3.8
Positioning3.5
Opening Duels1.0
Clutch2.2

Limited utility dependence

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 91% 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. 637ms 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

Aim5.1
Positioning3.5
Utility3.8
Mechanics6.9
Opening Duels0.9
Win Impact3.8

Composite 4.3/10 (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-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time645ms+10ms
first ⅓ avg 635ms → last ⅓ avg 645ms
Headshot accuracy11.7%+0.5%
first ⅓ avg 11.2% → last ⅓ avg 11.7%

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

0.09Best match rating · 13–2 · vertigo, 21 May →
27%Best headshot accuracy · 8–8 · vertigo, 14 Jun →
438msFastest reaction time · 7–13 · ancient, 3 Sept →
13–0Biggest win · vertigo, 8 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
3–11In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 71% over 14ancientWeakest map · 50% over 8
MapGradePlayedRecordWin rateAvg rating
vertigoB4825–2352%-0.03
nukeS1410–471%-0.02
ancientB84–450%-0.05
anubisB63–350%0.00
cache—41–325%-0.03
alpine—43–175%-0.04
inferno—30–30%-0.03
shelter—21–150%-0.04
mirage—21–150%0.01
overpass—22–0100%0.03
warden—21–150%0.00
eldorado—10–10%-0.25
debris—11–0100%-0.05
boulder—11–0100%-0.05
fachwerk—11–0100%-0.05
train—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,175Lifetime kills
1.37K/D · Top 10% of tracked players
2,798Matches
47.5%Match win rate · Top 50% of tracked players
45.2%Headshot % · Top 50% of tracked players
15.8%Shot accuracy · Top 25% of tracked players
4,572MVPs
1,129Hours (in match)
2,042Bombs planted
359Bombs defused

Most-used weapons

AK-4720,949
P905,793
AWP3,053
SCAR-202,440
Negev2,396
P2502,186
AUG2,105

Lifetime map wins

4,849vertigo
2,915inferno
2,133nuke
1,282dust2
849train
532cbble
48dust
44office

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

Faceit stats

Combat

215Matches
57%Win rate
0.72Avg K/D
63.6ADR
37%Headshot %

Clutches & streaks

31%1v1 clutch win
12%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient6062%0.7011.4
Nuke5867%0.8112.6
Anubis3746%0.7111.8
Overpass1669%0.8313.2
Inferno1346%0.529.5
Mirage944%0.518.6
Dust260%0.6613.3
Train683%0.6910.5

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.

11.1%Headshot accuracy
37.2%Accuracy (enemy spotted)
37.4%Spray accuracy
81.3%Counter-strafing
13.0°Preaim
637msReaction time
24.4%T opening success
37.4%CT opening success
0.47Enemies flashed / flash
1.4%Flash assists
12.64HE damage / grenade
3.08Flashes / 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 13.0297° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.0716% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4742 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.066%8 Sept →
cache13–10-0.0713%8 Sept →
vertigo13–4-0.0513%7 Sept →
ancient7–13-0.0921%3 Sept →
cache11–13-0.0313%20 Aug →
ancient10–13-0.035%20 Aug →
nuke13–70.0516%20 Aug →
inferno9–13-0.0313%20 Aug →
eldorado1–9-0.2511%14 Aug →
debris9–3-0.0518%14 Aug →
shelter9–13-0.0712%2 Aug →
boulder13–4-0.0519%2 Aug →
vertigo12–12-0.0217%2 Aug →
fachwerk13–9-0.059%2 Aug →
shelter13–4-0.017%2 Aug →
vertigo12–12-0.0313%2 Aug →
cache5–13-0.0114%1 Aug →
anubis8–13-0.0311%1 Aug →
mirage13–70.0613%1 Aug →
inferno3–13-0.0514%1 Aug →
anubis11–130.016%1 Aug →
anubis13–50.034%1 Aug →
mirage10–13-0.0314%24 Jul →
nuke10–13-0.0312%24 Jul →
ancient13–11-0.047%24 Jul →
anubis5–130.075%24 Jul →
nuke13–10.0119%24 Jul →
nuke13–80.008%24 Jul →
inferno12–16-0.029%24 Jul →
nuke13–3-0.0916%2 Jul →
ancient16–19-0.083%2 Jul →
anubis13–6-0.0014%2 Jul →
nuke13–8-0.0214%20 Jun →
vertigo7–9-0.139%20 Jun →
vertigo9–5-0.018%20 Jun →
vertigo10–13-0.0410%17 Jun →
vertigo13–9-0.038%16 Jun →
vertigo13–5-0.0412%16 Jun →
anubis13–11-0.048%16 Jun →
ancient13–1-0.0211%15 Jun →
ancient13–2-0.0610%15 Jun →
vertigo2–13-0.0310%15 Jun →
nuke13–6-0.076%15 Jun →
vertigo12–12-0.0411%14 Jun →
vertigo11–13-0.0217%14 Jun →
vertigo3–8-0.030%14 Jun →
vertigo8–8-0.0227%14 Jun →
vertigo10–13-0.109%14 Jun →
train11–13-0.0616%14 Jun →
nuke13–50.0812%14 Jun →
overpass13–100.0515%13 Jun →
ancient13–9-0.028%13 Jun →
vertigo1–7-0.080%13 Jun →
vertigo13–10-0.0413%12 Jun →
vertigo0–3-0.080%12 Jun →
vertigo13–3-0.0611%12 Jun →
vertigo13–10.018%12 Jun →
alpine3–9-0.0225%12 Jun →
vertigo13–60.0414%12 Jun →
alpine13–8-0.077%10 Jun →
vertigo13–3-0.0711%10 Jun →
vertigo13–3-0.037%9 Jun →
vertigo12–12-0.045%9 Jun →
vertigo13–6-0.019%9 Jun →
vertigo13–5-0.049%9 Jun →
nuke13–80.017%9 Jun →
vertigo13–10-0.046%8 Jun →
alpine13–8-0.0311%8 Jun →
warden13–10.0116%8 Jun →
nuke13–5-0.0913%8 Jun →
vertigo13–10-0.0410%8 Jun →
vertigo11–13-0.0323%8 Jun →
vertigo4–13-0.019%8 Jun →
nuke11–13-0.0323%8 Jun →
vertigo13–00.027%8 Jun →
warden3–6-0.0114%30 May →
vertigo13–3-0.027%30 May →
vertigo11–13-0.0611%30 May →
vertigo13–6-0.0310%30 May →
vertigo9–13-0.0212%30 May →
vertigo0–2-0.050%30 May →
alpine13–7-0.0411%29 May →
vertigo8–13-0.093%29 May →
vertigo13–20.0116%29 May →
vertigo6–13-0.0912%28 May →
nuke11–13-0.047%28 May →
vertigo7–13-0.0717%28 May →
vertigo13–20.0424%28 May →
nuke11–13-0.0812%28 May →
vertigo0–3-0.070%27 May →
cache10–13-0.025%27 May →
nuke13–40.0510%25 May →
vertigo13–3-0.0010%24 May →
vertigo13–5-0.0111%24 May →
overpass13–3-0.0010%21 May →
vertigo13–20.098%21 May →
vertigo13–11-0.078%21 May →
vertigo2–6-0.0412%21 May →
vertigo13–9-0.0516%20 May →
vertigo13–80.0013%20 May →

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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