ツ Kishka ♿

ツ Kishka ♿ — CS2 Stats

EE76561198143855480[U:1:183589752]Steam profile ↗✓ No bans

714Tracked matches59%Win rate2020Tracked since
2,819Hours in CS
CSDB Rating5.6 SolidClutch Specialist
Premier CS Rating27,377Top 5% of 209,427 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#4552 of 256910 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 19 Oct 2026 (4 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: 27,377 +3,030 15 Sept – 19 Oct · 12 days played
24,34727,604peak 27,60415 Sept19 Oct
27,848Peak Premier in tracked matches
15Days played since 2026-09-15

Premier CS Rating

  • 227 below peak (27,604)
  • +3,030 over 30 days · improving
  • Next: Gold band at 30,000 — 2,623 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,126), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate36.6%46.8%48.2%11.6% short
Shot accuracy20.3%13.0%13.2%above
Kill/death ratio1.221.061.07above
Match win rate48.4%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGツ Kishka ♿FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER27,377 · Red bandcsdb.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
Positioning35
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY57–36–7Last 10057%Win rateWLLLWWWLTW

Last 10 vs previous 10: −40pp win rate · −0.05 avg rating · −5.3pp headshot accuracy · −14ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 15%
  • Avg reaction 534ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 513ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 520ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.2 against its own average).

Aim7.4
Utility5.7
Positioning3.5
Opening Duels0.0
Clutch6.0

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

b1t

Plays most like b1t 79% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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
Positioning3.5
Utility5.7
Mechanics5.2
Opening Duels0.0
Win Impact7.9

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time545ms+47ms
first ⅓ avg 498ms → last ⅓ avg 545ms
Headshot accuracy16.5%−3.1%
first ⅓ avg 19.7% → last ⅓ avg 16.5%

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

0.15Best match rating · 9–7 · inferno, 5 Oct →
47%Best headshot accuracy · 13–1 · cache, 17 Oct →
328msFastest reaction time · 7–0 · mirage, 5 Oct →
13–0Biggest win · cache, 17 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
14–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 68% over 19dust2Weakest map · 52% over 21
MapGradePlayedRecordWin rateAvg rating
dust2B2111–1052%-0.03
infernoS1913–668%0.01
mirageA148–657%-0.00
cacheA148–657%-0.00
anubisA117–464%-0.03
nukeA116–555%-0.00
ancientA53–260%-0.00
office—31–233%-0.04
italy—10–10%-0.01
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (52% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

141,929Lifetime kills
1.22K/D · Top 25% of Level 8 players
6,769Matches
48.4%Match win rate · Top 50% of Level 8 players
36.6%Headshot %
20.3%Shot accuracy · Top 5% of Level 8 players
22,688MVPs
2,819Hours (in match)
7,645Bombs planted
1,792Bombs defused

Most-used weapons

AK-4739,254
AWP30,907
P2504,627
UMP-454,260
Knife3,940
SG 5533,762

Lifetime map wins

15,844dust2
14,310inferno
4,924nuke
3,095train
2,066cbble
1,713vertigo
906office
291dust

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

Faceit stats

Combat

462Matches
52%Win rate
0.97Avg K/D
57.2ADR
38%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage30%0.7413.0
Ancient2100%0.589.5
Dust22100%0.8010.0
Anubis10%0.295.0

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.

16.3%Headshot accuracy
35.3%Accuracy (enemy spotted)
42.5%Spray accuracy
73.3%Counter-strafing
9.2°Preaim
533msReaction time
30.2%T opening success
24.6%CT opening success
0.66Enemies flashed / flash
10.6%Flash assists
9.18HE damage / grenade
4.80Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.1653% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust216–13-0.0415%19 Oct →
ancient5–13-0.0818%19 Oct →
anubis9–13-0.0712%19 Oct →
anubis2–13-0.0819%18 Oct →
inferno16–14-0.0910%18 Oct →
nuke13–90.0210%18 Oct →
ancient13–80.0510%18 Oct →
mirage11–130.0121%18 Oct →
dust212–12-0.0218%18 Oct →
inferno13–11-0.0315%18 Oct →
cache13–8-0.0113%18 Oct →
anubis13–20.0114%18 Oct →
dust216–130.0117%18 Oct →
cache13–80.0010%17 Oct →
mirage13–60.0227%17 Oct →
inferno6–13-0.0722%17 Oct →
nuke13–40.0621%17 Oct →
dust213–10.0516%17 Oct →
cache13–10.0447%17 Oct →
cache13–00.1013%17 Oct →
mirage13–60.0123%17 Oct →
inferno13–5-0.0515%17 Oct →
dust24–13-0.0811%17 Oct →
cache13–16-0.0216%17 Oct →
inferno5–13-0.028%17 Oct →
nuke10–13-0.0825%17 Oct →
nuke8–13-0.0917%17 Oct →
cache8–13-0.0415%16 Oct →
anubis9–1-0.080%16 Oct →
inferno7–90.0914%14 Oct →
inferno7–90.0416%14 Oct →
italy5–13-0.0118%14 Oct →
dust25–13-0.0724%14 Oct →
dust210–13-0.0627%13 Oct →
inferno13–11-0.039%13 Oct →
mirage10–13-0.0227%13 Oct →
anubis13–9-0.0419%13 Oct →
cache9–13-0.057%13 Oct →
inferno9–60.1121%12 Oct →
inferno8–80.1233%12 Oct →
dust27–13-0.0615%10 Oct →
anubis13–11-0.0133%10 Oct →
ancient13–11-0.0215%10 Oct →
dust213–9-0.0618%10 Oct →
dust210–4-0.0514%10 Oct →
dust216–14-0.0119%10 Oct →
dust214–16-0.0417%10 Oct →
mirage16–140.0118%10 Oct →
mirage7–13-0.0716%10 Oct →
dust27–13-0.0913%9 Oct →
inferno13–6-0.0721%9 Oct →
mirage13–6-0.0112%9 Oct →
dust27–13-0.0722%9 Oct →
dust29–10.028%9 Oct →
mirage10–13-0.0521%9 Oct →
nuke13–40.1027%9 Oct →
dust216–140.0015%9 Oct →
mirage13–110.0618%9 Oct →
nuke15–150.0223%9 Oct →
ancient13–30.0619%9 Oct →
dust26–13-0.0421%9 Oct →
anubis11–130.0113%5 Oct →
nuke13–8-0.049%5 Oct →
mirage11–13-0.0118%5 Oct →
mirage7–00.0430%5 Oct →
cache13–00.0724%5 Oct →
inferno9–70.1520%5 Oct →
cache13–8-0.0514%1 Oct →
cache3–13-0.0619%1 Oct →
office13–11-0.0412%1 Oct →
cache10–13-0.0417%26 Sept →
vertigo6–13-0.0518%26 Sept →
office3–13-0.1041%26 Sept →
inferno5–13-0.0619%26 Sept →
anubis15–15-0.0516%25 Sept →
nuke15–15-0.065%25 Sept →
dust213–11-0.0413%25 Sept →
anubis13–30.0526%25 Sept →
cache13–80.0117%23 Sept →
dust213–9-0.0234%23 Sept →
cache13–2-0.0212%23 Sept →
dust216–130.0318%23 Sept →
inferno13–60.0030%23 Sept →
ancient4–13-0.0327%23 Sept →
dust22–13-0.0923%23 Sept →
nuke13–60.0913%23 Sept →
anubis13–11-0.0314%23 Sept →
mirage13–40.0416%23 Sept →
inferno13–110.0414%23 Sept →
inferno7–20.0222%23 Sept →
nuke13–8-0.0314%23 Sept →
anubis13–4-0.1038%23 Sept →
inferno13–6-0.0221%23 Sept →
nuke1–13-0.0230%23 Sept →
mirage4–13-0.0513%23 Sept →
cache12–120.0324%15 Sept →
office12–120.0214%15 Sept →
mirage13–50.0019%15 Sept →
inferno13–70.0516%15 Sept →
inferno16–13-0.0120%15 Sept →

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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