kisuli (:

kisuli (: — CS2 Stats

76561198140686797[U:1:180421069]Steam profile ↗✓ No bans

823Tracked matches48%Win rate2020Tracked since
CSDB Rating7.1 StrongSupport
Premier CS Rating21,646Top 50% of 204,412 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#58742 of 251476 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (2 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: 21,646 -3,240 6 Aug – 12 Oct · 27 days played
20,12524,886peak 24,8866 Aug12 Oct
24,999Peak Premier in tracked matches
28Days played since 2026-08-06

Premier CS Rating

  • 3,240 below peak (24,886)
  • -928 over 30 days · declining
  • Next: Red band at 25,000 — 3,354 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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

Share this profile

CSDB.GGkisuli (:FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,646 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning64
Utility68

0–100 skill scores via Leetify.

Recent form

HOT42–54–4Last 10042%Win rateWLWWLWWWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +0.8pp headshot accuracy · +22ms reaction

Win rate up 40pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 532ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 575ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 563ms

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 (+2.2 against its own average).

Aim8.4
Utility6.8
Positioning6.4
Opening Duels3.8
Clutch1.4

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

ZywOo

Plays most like ZywOo 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 →

CSDB Rating breakdown

Aim8.4
Positioning6.4
Utility6.8
Mechanics8.1
Opening Duels5.0
Win Impact4.4

Composite 7.1/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time558ms−34ms
first ⅓ avg 592ms → last ⅓ avg 558ms
Headshot accuracy21.0%−1.9%
first ⅓ avg 22.9% → last ⅓ avg 21.0%

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

0.14Best match rating · 10–13 · ancient, 25 Aug →
43%Best headshot accuracy · 9–13 · dust2, 29 Aug →
383msFastest reaction time · 13–6 · anubis, 12 Oct →
13–1Biggest win · dust2, 16 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 70% over 20infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D338–2524%0.01
nukeS2014–670%0.03
ancientA169–756%0.03
cacheC125–742%0.02
anubisB84–450%0.01
infernoD61–517%-0.01
mirageD51–420%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

148Matches
55%Win rate
1.23Avg K/D
84.5ADR
49%Headshot %

Clutches & streaks

27%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke3972%1.4418.6
Dust23853%1.2217.8
Anubis3757%1.1716.8
Ancient1638%1.1016.0
Mirage425%1.0019.0
Inferno20%0.7611.5
Train1100%1.1714.0

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.

20.5%Headshot accuracy
35.9%Accuracy (enemy spotted)
36.8%Spray accuracy
86.3%Counter-strafing
8.5°Preaim
543msReaction time
53.1%T opening success
46.9%CT opening success
0.58Enemies flashed / flash
10.5%Flash assists
11.54HE damage / grenade
13.86Flashes / 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0218%12 Oct →
inferno8–13-0.0223%12 Oct →
anubis13–60.0214%12 Oct →
nuke13–70.0423%6 Oct →
dust26–130.0613%6 Oct →
nuke16–140.1024%1 Oct →
ancient13–9-0.0021%30 Sept →
nuke13–4-0.0128%30 Sept →
mirage4–13-0.0528%30 Sept →
cache13–30.0426%30 Sept →
mirage5–13-0.0412%29 Sept →
dust213–6-0.0817%29 Sept →
dust24–13-0.0418%29 Sept →
dust29–130.0430%29 Sept →
inferno4–13-0.0129%28 Sept →
nuke13–60.0211%28 Sept →
cache5–130.0325%28 Sept →
inferno10–13-0.0321%28 Sept →
inferno13–30.0823%28 Sept →
anubis11–13-0.0423%25 Sept →
dust210–130.0614%25 Sept →
anubis9–130.0817%25 Sept →
ancient14–160.0024%25 Sept →
dust213–110.0218%23 Sept →
inferno15–15-0.0114%23 Sept →
dust28–13-0.0418%23 Sept →
ancient13–70.1021%22 Sept →
nuke13–30.0322%22 Sept →
ancient13–90.0121%22 Sept →
dust29–130.0726%22 Sept →
ancient6–130.0330%21 Sept →
anubis13–7-0.0216%21 Sept →
cache11–130.0429%21 Sept →
ancient13–10-0.0517%21 Sept →
dust211–13-0.0321%21 Sept →
dust213–160.0025%19 Sept →
cache13–80.0021%19 Sept →
anubis13–160.0417%19 Sept →
dust28–13-0.0023%19 Sept →
nuke13–50.0629%19 Sept →
anubis16–14-0.0118%18 Sept →
nuke16–14-0.0129%18 Sept →
dust213–8-0.0223%18 Sept →
mirage15–15-0.0125%17 Sept →
nuke11–130.0528%17 Sept →
nuke13–40.0422%16 Sept →
ancient13–110.0412%16 Sept →
dust213–10.0727%16 Sept →
nuke13–50.0525%16 Sept →
dust29–13-0.0026%15 Sept →
ancient13–60.0324%15 Sept →
cache9–130.0623%15 Sept →
dust23–13-0.0036%15 Sept →
dust215–150.0727%15 Sept →
anubis10–130.0120%14 Sept →
cache10–13-0.0318%14 Sept →
ancient13–30.0520%1 Sept →
dust25–13-0.0117%1 Sept →
nuke6–130.0418%31 Aug →
cache7–130.0418%31 Aug →
ancient7–130.0323%31 Aug →
nuke13–90.0121%31 Aug →
ancient11–130.0422%30 Aug →
dust211–130.0238%30 Aug →
cache13–40.0126%30 Aug →
nuke13–90.0213%30 Aug →
dust213–10-0.0320%30 Aug →
dust215–150.1132%30 Aug →
dust213–9-0.0321%29 Aug →
anubis13–11-0.0021%29 Aug →
ancient13–7-0.0219%29 Aug →
nuke10–130.0815%29 Aug →
dust29–13-0.0743%29 Aug →
nuke9–13-0.0122%29 Aug →
cache7–13-0.0337%29 Aug →
dust22–80.0313%29 Aug →
mirage13–5-0.0326%29 Aug →
dust213–20.0426%29 Aug →
dust213–5-0.0229%29 Aug →
inferno5–13-0.065%29 Aug →
dust23–13-0.0818%29 Aug →
cache13–70.0828%29 Aug →
dust23–13-0.0018%28 Aug →
nuke9–130.0217%28 Aug →
ancient13–50.0533%28 Aug →
ancient10–130.1419%25 Aug →
cache13–40.0916%25 Aug →
dust27–130.0115%25 Aug →
nuke6–13-0.0315%25 Aug →
mirage7–13-0.0627%24 Aug →
nuke13–90.0534%23 Aug →
dust26–130.0727%22 Aug →
ancient7–130.0119%22 Aug →
dust29–13-0.0818%21 Aug →
dust211–13-0.0422%16 Aug →
ancient14–16-0.0028%16 Aug →
nuke13–60.1332%16 Aug →
cache1–13-0.0516%16 Aug →
dust210–130.0722%16 Aug →
dust27–130.1020%6 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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