SKÄNKKI

SKÄNKKI — CS2 Stats

FI76561198938433956[U:1:978168228]Steam profile ↗✓ No bans

1,166Tracked matches54%Win rate2020Tracked since
CSDB Rating6.7 SolidAll-Rounder
Premier CS Rating16,794Purple band · top ~21.3% of ranked players (population est.)
FaceitLevel 6 · 1,150 ELOTop 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,794 +826 1 Sept – 3 Nov · 7 days played
15,96817,978peak 17,9781 Sept3 Nov
Faceit ELO: 1,150 +0 1 Sept – 23 Sept · 2 observations
1,1501,150peak 1,1501 Sept23 Sept
17,978Peak Premier in tracked matches
1,150Highest Faceit ELO seen on CSDB
25Days played since 2026-09-01

Faceit ELO

  • At peak — 1,150
  • Next: Level 6 at 1,201 — 51 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-01
  • Level 4 first seen 2026-09-01

Premier CS Rating

  • 1,184 below peak (17,978)
  • -1,184 over 30 days · declining
  • Next: Pink band at 20,000 — 3,206 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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.

Share this profile

CSDB.GGSKÄNKKIFACEITLevel 6 · 1,150 ELOSTANDINGTop 54.0% of rankedPREMIER16,794 · Purple bandPEAK ELO1,150csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim76
Positioning56
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLLWWLLWLLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −8.5pp headshot accuracy · +17ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 608ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 600ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.6
Utility5.9
Positioning5.6
Opening Duels4.2
Clutch5.6

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 596ms 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

Aim7.6
Positioning5.6
Utility5.9
Mechanics7.8
Opening Duels5.8
Win Impact6.2

Composite 6.7/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time598ms+31ms
first ⅓ avg 567ms → last ⅓ avg 598ms
Headshot accuracy22.3%+4.3%
first ⅓ avg 17.9% → last ⅓ avg 22.3%

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

0.07Best match rating · 13–8 · anubis, 22 Sept →
47%Best headshot accuracy · 7–13 · cache, 11 Oct →
383msFastest reaction time · 5–13 · inferno, 5 Oct →
13–2Biggest win · train, 13 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
3–7In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB2814–1450%-0.02
mirageC188–1044%-0.01
dust2S1711–665%-0.01
anubisA127–558%-0.02
infernoD81–713%-0.01
nukeS64–267%0.00
overpassC52–340%-0.00
ancient—43–175%-0.01
train—11–0100%-0.04
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

397Matches
52%Win rate
0.84Avg K/D
77.5ADR
44%Headshot %

Clutches & streaks

48%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient2050%0.8313.0
Mirage1850%1.0713.7
Dust21471%1.1214.6
Anubis1362%0.9112.7
Inferno1173%1.2314.4
Cache7100%1.7016.1
Nuke786%1.4216.7
Overpass650%1.0112.3

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.

21.7%Headshot accuracy
34.1%Accuracy (enemy spotted)
36.2%Spray accuracy
85.2%Counter-strafing
9.6°Preaim
596msReaction time
54.7%T opening success
51.4%CT opening success
0.58Enemies flashed / flash
6.0%Flash assists
8.93HE damage / grenade
10.24Flashes / 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.047%3 Nov →
mirage8–13-0.0713%3 Nov →
dust213–8-0.0211%3 Nov →
cache13–3-0.0217%2 Nov →
inferno9–13-0.0230%2 Nov →
inferno11–130.0411%2 Nov →
mirage13–70.0421%31 Oct →
dust27–13-0.1043%31 Oct →
anubis0–13-0.0114%30 Oct →
dust213–50.0613%30 Oct →
anubis13–10-0.0218%25 Oct →
cache7–2-0.0533%25 Oct →
overpass9–13-0.0337%25 Oct →
dust213–80.0223%25 Oct →
mirage13–100.0118%22 Oct →
dust213–8-0.0528%22 Oct →
cache4–13-0.0721%22 Oct →
overpass6–130.0132%22 Oct →
dust28–13-0.0022%20 Oct →
cache7–13-0.0332%20 Oct →
cache4–13-0.0516%20 Oct →
cache13–7-0.0325%19 Oct →
dust213–50.0124%19 Oct →
ancient13–110.0122%19 Oct →
mirage12–12-0.0119%19 Oct →
cache13–30.0631%19 Oct →
overpass8–130.0113%19 Oct →
cache12–120.0315%18 Oct →
overpass13–8-0.0519%18 Oct →
nuke13–10-0.0331%17 Oct →
dust28–13-0.0242%17 Oct →
train13–2-0.0429%13 Oct →
cache13–6-0.066%13 Oct →
nuke13–30.0419%11 Oct →
cache7–130.0247%11 Oct →
dust213–7-0.0327%11 Oct →
mirage13–40.0316%11 Oct →
cache9–13-0.0523%7 Oct →
mirage7–130.0419%7 Oct →
dust24–13-0.0339%7 Oct →
nuke13–5-0.0323%7 Oct →
cache13–30.059%7 Oct →
dust213–7-0.0024%6 Oct →
mirage13–60.0118%6 Oct →
dust213–11-0.0123%5 Oct →
inferno11–13-0.0623%5 Oct →
ancient13–11-0.0327%5 Oct →
mirage2–13-0.0629%5 Oct →
inferno5–13-0.0228%5 Oct →
mirage5–13-0.0416%5 Oct →
dust212–120.0112%3 Oct →
anubis2–3-0.0714%3 Oct →
mirage10–13-0.0413%3 Oct →
inferno13–70.0210%2 Oct →
inferno8–13-0.0023%2 Oct →
cache8–13-0.0210%2 Oct →
cache3–13-0.0015%1 Oct →
anubis13–5-0.0618%1 Oct →
cache13–10-0.0528%1 Oct →
cache9–130.0321%27 Sept →
cache13–60.0123%27 Sept →
mirage6–13-0.0515%27 Sept →
mirage6–10.0212%27 Sept →
cache1–13-0.0125%27 Sept →
cache13–5-0.0316%27 Sept →
cache13–6-0.0125%27 Sept →
cache13–6-0.0722%26 Sept →
cache11–13-0.038%26 Sept →
cache13–7-0.0219%26 Sept →
cache13–7-0.0115%26 Sept →
cache12–12-0.0123%26 Sept →
dust213–8-0.0220%23 Sept →
nuke11–130.0215%23 Sept →
ancient13–60.0216%23 Sept →
mirage13–90.0524%23 Sept →
anubis11–13-0.0221%23 Sept →
mirage7–13-0.0514%23 Sept →
inferno9–130.0039%22 Sept →
vertigo9–13-0.0318%22 Sept →
overpass13–80.0620%22 Sept →
nuke3–13-0.0118%22 Sept →
anubis4–130.0418%22 Sept →
mirage11–13-0.0126%22 Sept →
mirage8–13-0.0518%22 Sept →
anubis13–80.0725%22 Sept →
anubis13–6-0.0127%20 Sept →
cache6–13-0.0614%20 Sept →
mirage13–70.0514%20 Sept →
dust210–13-0.0719%20 Sept →
anubis8–13-0.0418%20 Sept →
dust213–7-0.0027%14 Sept →
anubis13–4-0.055%14 Sept →
cache12–12-0.0114%14 Sept →
nuke13–70.0114%14 Sept →
anubis6–20.018%14 Sept →
dust213–80.0314%14 Sept →
mirage13–30.0413%14 Sept →
inferno6–13-0.0421%14 Sept →
cache13–9-0.033%14 Sept →
anubis13–4-0.1021%13 Sept →

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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