WISKI

WISKI — CS2 Stats

FI76561198166364005[U:1:206098277]Steam profile ↗✓ No bans

2,107Tracked matches62%Win rate2024Tracked since
CSDB Rating6.9 SolidSupport
Premier CS Rating19,205Top 50% of 213,399 CSDB-tracked playersPurple band · top ~11.7% of ranked players (population est.)
CSDB Leaderboard#96805 of 260005 tracked
FaceitLevel 8 · 1,283 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (8 days ago). 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: 19,205 +3,922 29 Aug – 28 Oct · 25 days played
14,50519,999peak 19,99929 Aug28 Oct
Faceit ELO: 1,283 +0 29 Aug – 20 Sept · 4 observations
1,2831,283peak 1,28329 Aug20 Sept
19,999Peak Premier in tracked matches
1,283Highest Faceit ELO seen on CSDB
31Days played since 2026-08-29

Faceit ELO

  • At peak — 1,283
  • Next: Level 7 at 1,351 — 68 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-29
  • Level 5 first seen 2026-08-29

Premier CS Rating

  • 794 below peak (19,999)
  • +1,516 over 30 days · improving
  • Next: Pink band at 20,000 — 795 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

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.GGWISKIFACEITLevel 8 · 1,283 ELOSTANDINGTop 31.2% of rankedPREMIER19,205 · Purple bandPEAK ELO1,283csdb.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

Aim74
Positioning63
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLLLLWLWWWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −0.1pp headshot accuracy · −6ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 588ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 583ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • 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 (+1.5 against its own average).

Aim7.4
Utility6.7
Positioning6.3
Opening Duels4.5
Clutch3.4

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 84% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Areas to improve

Reaction time. 588ms 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

Aim7.4
Positioning6.3
Utility6.7
Mechanics6.6
Opening Duels5.1
Win Impact9.0

Composite 6.9/10 (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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time590ms−46ms
first ⅓ avg 635ms → last ⅓ avg 590ms
Headshot accuracy13.6%−1.4%
first ⅓ avg 15.0% → last ⅓ avg 13.6%

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

0.20Best match rating · 13–5 · ancient, 3 Oct →
36%Best headshot accuracy · 13–9 · vertigo, 12 Oct →
406msFastest reaction time · 4–9 · inferno, 10 Sept →
13–1Biggest win · nuke, 24 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
9–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 67% over 9vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheA2314–961%0.01
nukeB168–850%0.01
ancientA148–657%0.02
dust2B136–746%0.01
infernoB136–746%0.00
anubisS96–367%-0.00
vertigoD62–433%-0.04
mirage—42–250%-0.00
train—11–0100%0.07
overpass—10–10%0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

851Matches
51%Win rate
1.00Avg K/D
73.3ADR
35%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke10651%1.0815.2
Ancient10551%1.0315.6
Dust27954%0.9813.4
Cache6549%1.1314.4
Mirage6250%0.9313.1
Overpass5859%1.0415.3
Anubis5549%0.9814.9
Inferno5256%1.1315.6

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.

13.6%Headshot accuracy
37.5%Accuracy (enemy spotted)
42.4%Spray accuracy
79.6%Counter-strafing
8.9°Preaim
588msReaction time
52.8%T opening success
47.8%CT opening success
0.59Enemies flashed / flash
6.8%Flash assists
8.23HE damage / grenade
11.39Flashes / 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. 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 13.6181% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Vertigo

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0316%28 Oct →
dust29–13-0.0411%28 Oct →
anubis8–13-0.0714%28 Oct →
nuke9–13-0.0712%27 Oct →
cache13–60.0522%27 Oct →
ancient9–13-0.0316%26 Oct →
dust213–6-0.0213%24 Oct →
ancient13–6-0.0114%23 Oct →
inferno13–11-0.0310%23 Oct →
mirage13–9-0.0412%23 Oct →
mirage13–8-0.0212%23 Oct →
ancient10–130.0112%23 Oct →
anubis13–40.0612%23 Oct →
inferno12–16-0.038%23 Oct →
ancient13–8-0.0114%23 Oct →
nuke8–13-0.0524%21 Oct →
nuke13–11-0.0315%21 Oct →
vertigo13–11-0.0216%21 Oct →
cache11–130.019%21 Oct →
nuke9–13-0.0020%21 Oct →
dust215–150.0013%21 Oct →
inferno13–100.039%18 Oct →
train13–70.0715%15 Oct →
inferno13–50.0618%15 Oct →
vertigo1–9-0.1918%15 Oct →
nuke13–50.086%15 Oct →
cache13–20.0816%15 Oct →
cache13–110.0715%14 Oct →
anubis13–60.0414%14 Oct →
dust29–13-0.0016%12 Oct →
anubis13–70.016%12 Oct →
dust213–50.069%12 Oct →
cache16–13-0.0212%12 Oct →
vertigo13–9-0.0536%12 Oct →
ancient7–130.0214%9 Oct →
anubis4–13-0.0510%3 Oct →
inferno7–130.0521%3 Oct →
ancient13–50.2015%3 Oct →
inferno12–120.0110%3 Oct →
overpass6–130.0213%30 Sept →
vertigo9–130.1012%30 Sept →
anubis13–100.0211%29 Sept →
anubis13–110.0015%26 Sept →
cache13–80.009%26 Sept →
nuke13–9-0.0112%26 Sept →
ancient11–13-0.0311%26 Sept →
cache13–50.013%26 Sept →
nuke1–13-0.0013%26 Sept →
cache8–13-0.0410%26 Sept →
vertigo5–5-0.070%26 Sept →
cache13–9-0.0016%26 Sept →
inferno8–130.057%25 Sept →
dust27–13-0.0513%25 Sept →
nuke9–13-0.0119%25 Sept →
ancient13–70.0417%24 Sept →
nuke13–10.157%24 Sept →
ancient0–13-0.089%24 Sept →
cache3–13-0.0616%24 Sept →
mirage12–160.0214%24 Sept →
inferno11–13-0.1010%20 Sept →
inferno13–100.1032%20 Sept →
cache13–11-0.0015%20 Sept →
nuke13–70.068%20 Sept →
dust213–80.0513%20 Sept →
nuke11–130.0524%18 Sept →
ancient13–70.0825%18 Sept →
dust213–90.0311%16 Sept →
anubis13–60.077%16 Sept →
ancient13–20.0213%16 Sept →
inferno13–10-0.0210%15 Sept →
nuke7–90.024%15 Sept →
cache13–40.0415%13 Sept →
cache4–13-0.073%12 Sept →
ancient7–130.0524%11 Sept →
inferno13–16-0.0016%11 Sept →
dust213–110.0414%11 Sept →
cache13–70.0719%11 Sept →
dust213–90.0518%11 Sept →
inferno4–9-0.1415%10 Sept →
dust25–13-0.0719%10 Sept →
cache10–13-0.0013%10 Sept →
cache13–90.0610%10 Sept →
nuke13–70.0517%10 Sept →
nuke11–13-0.0115%9 Sept →
nuke13–11-0.0216%9 Sept →
mirage3–130.0316%9 Sept →
cache15–150.0312%8 Sept →
anubis3–13-0.1018%8 Sept →
inferno13–30.0316%8 Sept →
ancient13–5-0.0010%8 Sept →
cache15–150.0218%8 Sept →
cache8–13-0.0915%3 Sept →
dust214–160.0614%3 Sept →
vertigo11–13-0.0425%2 Sept →
cache13–9-0.0314%1 Sept →
dust29–13-0.0418%1 Sept →
cache13–11-0.0224%29 Aug →
cache13–40.1021%29 Aug →
nuke13–80.0215%29 Aug →
ancient13–60.0212%29 Aug →

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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