Kaban Shokunin

Kaban Shokunin — CS2 Stats

DE76561198172358943[U:1:212093215]Steam profile ↗✓ No bans

506Tracked matches63%Win rate2023Tracked since
1,015Hours in CS
CSDB Rating5.7 SolidPositional Player
Premier CS Rating20,724Top 50% of 213,211 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#73397 of 259895 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (49 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 506 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,724 +9,128 11 Nov – 16 Sept · 18 days played
11,59620,724peak 20,72411 Nov16 Sept
20,724Peak Premier in tracked matches
41Days played since 2023-09-21

Premier CS Rating

  • At peak — 20,724
  • Next: Red band at 25,000 — 4,276 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-16
  • Purple band first seen 2026-09-16

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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate46.2%41.8%42.7%above
Shot accuracy19.8%12.2%11.2%above
Kill/death ratio0.890.980.990.10 short
Match win rate48.0%43.3%43.9%above

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKaban ShokuninFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER20,724 · Pink bandcsdb.gg/stats

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Performance scores

Aim63
Positioning48
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateWWWLWLWLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −6.9pp headshot accuracy · −32ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 606ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 621ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 637ms

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 (+1.4 against its own average).

Aim6.3
Utility3.1
Positioning4.8
Opening Duels4.7
Clutch1.0

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

s1mple

Plays most like s1mple 97% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 651ms 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

Aim6.3
Positioning4.8
Utility3.1
Mechanics7.1
Opening Duels2.2
Win Impact9.4

Composite 5.7/10 (Solid), 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 rating-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time660ms+14ms
first ⅓ avg 645ms → last ⅓ avg 660ms
Headshot accuracy24.7%+6.9%
first ⅓ avg 17.8% → last ⅓ avg 24.7%

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 · 13–5 · vertigo, 16 Dec →
45%Best headshot accuracy · 13–2 · vertigo, 18 Mar →
406msFastest reaction time · 7–13 · anubis, 10 Jan →
13–0Biggest win · mirage, 19 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
7–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 65% over 17ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
overpassS1711–665%-0.03
anubisB179–853%-0.03
nukeA1610–663%-0.01
vertigoC156–940%-0.02
mirageA117–464%-0.01
infernoA95–456%-0.04
ancientC83–538%-0.02
dust2—43–175%0.02
train—22–0100%0.05
assembly—10–10%-0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,035Lifetime kills
0.89K/D
1,980Matches
48.0%Match win rate · Top 25% of Level 3 players
46.2%Headshot % · Top 50% of Level 3 players
19.8%Shot accuracy · Top 5% of Level 3 players
4,565MVPs
1,015Hours (in match)
1,801Bombs planted
568Bombs defused

Most-used weapons

AK-4714,906
AWP6,885
P2501,123
Knife704

Lifetime map wins

2,305inferno
1,915nuke
1,663train
1,321dust2
1,186cbble
857vertigo
64office
8safehouse

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

Faceit stats

Combat

603Matches
52%Win rate
1.07Avg K/D
90.3ADR
39%Headshot %

Clutches & streaks

25%1v1 clutch win
29%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke4100%1.3820.3
Anubis367%0.6111.0
Dust2333%1.0215.0
Vertigo367%1.9019.3
Ancient250%1.2223.0
Overpass2100%1.3020.0
Inferno250%0.8415.0
Train1100%1.2719.0

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.

23.7%Headshot accuracy
31.0%Accuracy (enemy spotted)
34.2%Spray accuracy
82.2%Counter-strafing
10.6°Preaim
651msReaction time
33.0%T opening success
45.0%CT opening success
0.34Enemies flashed / flash
3.1%Flash assists
8.99HE damage / grenade
4.55Flashes / 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 0.3374 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 32.9986% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–4-0.0115%8 Jan →
ancient13–5-0.019%8 Jan →
overpass13–7-0.0331%8 Jan →
mirage8–130.0424%8 Jan →
mirage13–6-0.0412%8 Jan →
inferno8–13-0.0625%30 Dec →
train13–70.0422%30 Dec →
ancient7–13-0.0214%30 Dec →
ancient4–12-0.0618%20 Dec →
nuke13–90.0030%10 Dec →
train13–80.0630%10 Dec →
nuke13–16-0.0328%2 Dec →
ancient13–30.0136%2 Dec →
overpass13–100.0725%2 Dec →
nuke11–13-0.0015%24 Nov →
assembly2–9-0.1233%18 Sept →
inferno0–9-0.1636%18 Sept →
anubis13–80.0231%15 Sept →
vertigo6–13-0.0820%6 Sept →
nuke13–9-0.0114%6 Sept →
inferno13–60.0424%4 Apr →
mirage6–13-0.1019%4 Apr →
mirage13–6-0.0723%1 Apr →
overpass6–30.0535%1 Apr →
mirage13–00.0023%19 Mar →
dust29–13-0.0218%19 Mar →
anubis13–4-0.0322%18 Mar →
vertigo13–20.0745%18 Mar →
dust213–60.0332%18 Mar →
inferno4–13-0.0721%14 Mar →
anubis11–13-0.0636%21 Feb →
dust213–50.0620%21 Feb →
ancient13–70.0628%18 Feb →
nuke10–13-0.0821%18 Feb →
inferno13–6-0.0330%15 Feb →
anubis13–30.0215%15 Feb →
overpass13–7-0.0527%14 Feb →
mirage13–90.0127%14 Feb →
overpass11–13-0.0214%10 Jan →
anubis7–13-0.0724%10 Jan →
nuke11–13-0.0138%10 Jan →
dust213–100.0230%10 Jan →
mirage13–7-0.0814%5 Jan →
nuke13–11-0.0437%1 Jan →
vertigo1–10-0.0138%1 Jan →
vertigo10–13-0.0917%31 Dec →
overpass13–6-0.078%31 Dec →
nuke13–11-0.0217%30 Dec →
anubis11–13-0.0514%29 Dec →
ancient10–13-0.0617%25 Dec →
inferno13–160.0025%22 Dec →
nuke13–20.1227%22 Dec →
overpass13–10-0.0526%22 Dec →
nuke13–10-0.0516%21 Dec →
vertigo13–10-0.0913%21 Dec →
overpass1–13-0.0911%21 Dec →
mirage16–120.0823%20 Dec →
overpass4–13-0.1217%19 Dec →
anubis13–8-0.089%17 Dec →
inferno9–2-0.0820%17 Dec →
vertigo7–13-0.0037%17 Dec →
anubis9–13-0.0235%16 Dec →
nuke13–50.0933%16 Dec →
vertigo13–50.1728%16 Dec →
vertigo13–80.1033%16 Dec →
mirage10–13-0.0314%16 Dec →
anubis13–110.0322%15 Dec →
vertigo8–13-0.0725%15 Dec →
anubis13–11-0.0214%15 Dec →
anubis11–13-0.0727%9 Dec →
overpass13–10-0.0420%9 Dec →
nuke13–100.0418%9 Dec →
vertigo15–15-0.0717%7 Dec →
overpass13–7-0.0235%7 Dec →
nuke11–13-0.1032%7 Dec →
vertigo11–13-0.0625%17 Nov →
anubis13–11-0.0214%17 Nov →
anubis4–13-0.085%17 Nov →
vertigo13–110.0017%11 Nov →
mirage13–60.0430%11 Nov →
anubis7–13-0.0510%28 Sept →
vertigo13–60.0025%28 Sept →
overpass13–20.1217%28 Sept →
nuke13–40.0618%28 Sept →
anubis13–60.0224%28 Sept →
mirage11–130.0316%28 Sept →
vertigo9–130.0313%28 Sept →
anubis9–13-0.0219%27 Sept →
inferno13–110.0119%27 Sept →
ancient5–13-0.0413%27 Sept →
overpass3–13-0.0921%27 Sept →
ancient4–13-0.0212%23 Sept →
overpass2–13-0.0824%23 Sept →
nuke13–7-0.0110%22 Sept →
overpass8–13-0.0314%22 Sept →
anubis13–90.0113%22 Sept →
vertigo3–13-0.129%21 Sept →
nuke6–13-0.0917%21 Sept →
inferno13–9-0.008%21 Sept →
overpass12–4-0.077%21 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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