KANNE

KANNE — CS2 Stats

76561197963347731[U:1:3082003]Steam profile ↗✓ No bans

1,511Tracked matches43%Win rate2023Tracked since
CSDB Rating5.5 SolidPositional Player
Premier CS Rating13,027Blue band · top ~38.9% of ranked players (population est.)
FaceitLevel 5 · 1,098 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 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: 13,027 +1,531 23 Aug – 25 Oct · 42 days played
11,19014,552peak 14,55223 Aug25 Oct
Faceit ELO: 1,098 +0 13 Sept – 22 Sept · 4 observations
1,0981,098peak 1,09813 Sept22 Sept
14,999Peak Premier in tracked matches
1,098Highest Faceit ELO seen on CSDB
45Days played since 2026-08-23

Faceit ELO

  • At peak — 1,098
  • Next: Level 6 at 1,201 — 103 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-13
  • Level 4 first seen 2026-09-13

Premier CS Rating

  • 1,525 below peak (14,552)
  • -1,279 over 30 days · declining
  • Next: Purple band at 15,000 — 1,973 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-13
  • Light Blue band first seen 2026-09-13

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.GGKANNEFACEITLevel 5 · 1,098 ELOSTANDINGTop 67.6% of rankedPREMIER13,027 · Blue bandPEAK ELO1,098csdb.gg/stats

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Performance scores

Aim68
Positioning63
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLLLWWTWWLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +3.7pp headshot accuracy · −22ms 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 23%
  • Avg reaction 572ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 573ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 584ms

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: Positional Player — Positioning stands above the rest of this profile (+2.2 against its own average).

Aim6.8
Utility4.4
Positioning6.3
Opening Duels2.7
Clutch3.0

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

iM

Plays most like iM 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 60% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 581ms 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

Aim6.8
Positioning6.3
Utility4.4
Mechanics7.0
Opening Duels5.5
Win Impact2.6

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time581ms−8ms
first ⅓ avg 588ms → last ⅓ avg 581ms
Headshot accuracy18.7%−1.2%
first ⅓ avg 19.9% → last ⅓ avg 18.7%

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

0.17Best match rating · 13–2 · dust2, 14 Oct →
35%Best headshot accuracy · 5–13 · dust2, 1 Oct →
414msFastest reaction time · 13–11 · anubis, 23 Aug →
13–2Biggest win · dust2, 14 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
13–13In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 60% over 20cacheWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA2012–860%0.02
ancientC197–1237%0.01
mirageB137–654%0.00
nukeB136–746%0.01
dust2C125–742%0.00
cacheD112–918%0.02
anubisA116–555%0.03
train—10–10%-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

247Matches
49%Win rate
1.06Avg K/D
73.9ADR
51%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6954%0.9812.8
Dust24961%1.0714.7
Nuke3225%1.0717.3
Ancient3047%1.1116.1
Inferno2846%1.1814.8
Anubis2370%1.1516.4
Cache922%0.9913.7
Overpass425%0.8114.0

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.

18.6%Headshot accuracy
33.1%Accuracy (enemy spotted)
33.8%Spray accuracy
81.7%Counter-strafing
9.8°Preaim
581msReaction time
60.2%T opening success
43.5%CT opening success
0.47Enemies flashed / flash
7.3%Flash assists
9.65HE damage / grenade
5.54Flashes / 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. 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 0.4698 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0111%25 Oct →
cache7–130.0321%25 Oct →
cache9–130.0830%24 Oct →
mirage13–70.1520%24 Oct →
nuke13–30.0631%24 Oct →
inferno12–120.0712%24 Oct →
dust213–8-0.0013%23 Oct →
dust216–120.0118%23 Oct →
nuke8–13-0.0220%23 Oct →
cache9–130.1124%23 Oct →
inferno9–130.0216%23 Oct →
ancient13–80.0714%22 Oct →
inferno13–90.0119%22 Oct →
inferno13–50.0026%21 Oct →
ancient0–13-0.0913%21 Oct →
dust28–130.0414%20 Oct →
ancient15–15-0.049%16 Oct →
ancient11–130.0012%15 Oct →
dust213–20.1720%14 Oct →
inferno8–13-0.0322%14 Oct →
mirage6–13-0.0613%12 Oct →
ancient13–100.0715%12 Oct →
dust213–90.1419%12 Oct →
ancient14–16-0.0225%12 Oct →
dust26–13-0.0821%11 Oct →
inferno13–10-0.0023%11 Oct →
dust210–13-0.0527%11 Oct →
inferno13–110.0612%10 Oct →
inferno3–13-0.0324%10 Oct →
cache4–130.0420%10 Oct →
mirage2–13-0.0718%10 Oct →
dust24–13-0.0713%10 Oct →
mirage7–130.0223%9 Oct →
mirage6–13-0.0517%9 Oct →
inferno13–50.0621%9 Oct →
inferno13–110.0318%9 Oct →
anubis13–40.1119%9 Oct →
mirage13–11-0.0015%8 Oct →
inferno9–13-0.0817%7 Oct →
nuke13–40.0615%7 Oct →
nuke11–130.0217%6 Oct →
anubis13–90.1221%5 Oct →
mirage13–9-0.0520%2 Oct →
dust25–13-0.0035%1 Oct →
dust21–13-0.1114%30 Sept →
mirage9–13-0.0718%27 Sept →
mirage13–10-0.0417%26 Sept →
cache2–13-0.0424%26 Sept →
nuke10–13-0.0322%25 Sept →
anubis5–130.0322%25 Sept →
nuke13–80.0220%25 Sept →
cache13–11-0.0028%25 Sept →
mirage13–20.1521%25 Sept →
inferno13–60.0521%24 Sept →
anubis13–110.0819%22 Sept →
ancient13–8-0.0328%20 Sept →
inferno14–160.0420%20 Sept →
anubis13–50.0221%19 Sept →
nuke13–20.0816%19 Sept →
nuke14–160.0619%19 Sept →
anubis6–13-0.0023%18 Sept →
ancient6–13-0.0410%16 Sept →
inferno13–40.0513%16 Sept →
inferno11–130.0420%16 Sept →
anubis13–10-0.0325%15 Sept →
ancient13–110.1014%15 Sept →
ancient11–13-0.0016%14 Sept →
ancient13–110.0314%12 Sept →
train6–13-0.0515%12 Sept →
ancient13–40.0826%12 Sept →
anubis8–130.0325%11 Sept →
inferno13–100.0629%11 Sept →
cache12–16-0.038%11 Sept →
nuke10–13-0.0331%10 Sept →
inferno13–110.0623%9 Sept →
ancient16–140.0712%9 Sept →
anubis14–16-0.048%8 Sept →
inferno13–110.0318%8 Sept →
ancient0–130.0122%8 Sept →
cache6–13-0.0915%6 Sept →
inferno13–70.0122%6 Sept →
anubis10–13-0.0116%4 Sept →
ancient9–130.0224%1 Sept →
cache11–130.0524%1 Sept →
ancient11–13-0.0320%31 Aug →
nuke13–10-0.0320%31 Aug →
dust215–15-0.0125%31 Aug →
dust213–10-0.0222%30 Aug →
cache13–110.0516%28 Aug →
ancient14–160.0415%28 Aug →
ancient15–15-0.0316%28 Aug →
mirage13–70.0627%28 Aug →
nuke11–13-0.0114%26 Aug →
cache9–13-0.0120%26 Aug →
ancient3–13-0.0418%25 Aug →
nuke13–110.0619%25 Aug →
inferno11–13-0.0129%25 Aug →
anubis13–110.0517%23 Aug →
nuke4–13-0.0319%23 Aug →
mirage13–7-0.0229%23 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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