Kapu

Kapu — CS2 Stats

FI76561198312071954[U:1:351806226]Steam profile ↗✓ No bans

1,204Tracked matches38%Win rate2020Tracked since
3,373Hours in CS22Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
Premier CS Rating22,556Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#49338 of 259985 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 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: 22,556 -1,569 19 May – 3 Nov · 13 days played
21,48624,125peak 24,12519 May3 Nov
24,125Peak Premier in tracked matches
2,094Highest Faceit ELO seen on CSDB
38Days played since 2026-05-14

Faceit ELO

  • At peak — 2,094
  • Next: 2,500 ELO at 2,500 — 406 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • 1,569 below peak (24,125)
  • Next: Red band at 25,000 — 2,444 to go
  • Reached: Pink band · Purple band · Blue band · Light 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate52.8%46.9%49.3%above
Shot accuracy17.7%13.0%13.4%above
Kill/death ratio1.231.081.12above
Match win rate46.3%46.7%48.5%2.2% short

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

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

Share this profile

CSDB.GGKapuPREMIER22,556 · Pink bandPEAK ELO2,094csdb.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

Aim90
Positioning69
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY42–53–5Last 10042%Win rateLLLLWWTWWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −4.0pp headshot accuracy · −22ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 550ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 561ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 572ms

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 (+1.3 against its own average).

Aim9.0
Utility6.1
Positioning6.9
Opening Duels5.1
Clutch4.4

Sharp aimer

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

jL

Plays most like jL 97% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

T openings. 78% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 78% on T to 51% on CT — first contacts on the defending side are being lost.

Reaction time. 553ms 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

Aim9.0
Positioning6.9
Utility6.1
Mechanics7.5
Opening Duels7.6
Win Impact1.0

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 rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time566ms−107ms
first ⅓ avg 673ms → last ⅓ avg 566ms
Headshot accuracy19.1%−3.8%
first ⅓ avg 22.9% → last ⅓ avg 19.1%

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 · 13–2 · nuke, 7 Sept →
35%Best headshot accuracy · 11–13 · mirage, 28 May →
406msFastest reaction time · 3–13 · anubis, 18 Oct →
13–1Biggest win · dust2, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
6–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 67% over 6cacheWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
cacheD184–1422%0.07
nukeB178–947%0.06
mirageD155–1033%-0.00
dust2C146–843%0.03
vertigoA116–555%0.07
infernoD62–433%0.05
anubisD62–433%0.04
trainS64–267%0.06
ancientA53–260%-0.01
office—22–0100%0.06

Across the last 100 tracked matches.

Lifetime stats

113,363Lifetime kills
1.23K/D · Top 25% of Pink band
4,035Matches
46.3%Match win rate
52.8%Headshot % · Top 25% of Pink band
17.7%Shot accuracy · Top 25% of Pink band
13,915MVPs
1,894Hours (in match)
3,469Bombs planted
986Bombs defused

Most-used weapons

AK-4745,660
AWP5,075
SG 5532,567
P2502,381
FAMAS1,897

Lifetime map wins

5,429inferno
4,143train
3,998nuke
3,893dust2
2,072vertigo
1,215cbble
522office
137assault

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

Faceit stats

Combat

1,143Matches
51%Win rate
1.20Avg K/D
92.8ADR
45%Headshot %

Clutches & streaks

42%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage9344%1.2219.0
Ancient5551%1.2419.5
Inferno3855%1.2417.4
Nuke3465%1.5521.6
Dust22560%1.2717.2
Anubis1839%1.2017.6
Overpass956%0.8916.3
Vertigo333%1.6622.3

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.

19.3%Headshot accuracy
42.6%Accuracy (enemy spotted)
44.7%Spray accuracy
83.9%Counter-strafing
9.0°Preaim
553msReaction time
78.4%T opening success
51.1%CT opening success
0.64Enemies flashed / flash
9.0%Flash assists
8.92HE damage / grenade
9.23Flashes / match

Recommended for you

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.

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke6–130.0413%3 Nov →
mirage11–130.0111%3 Nov →
cache3–130.0113%3 Nov →
nuke10–130.0821%2 Nov →
mirage13–100.0718%2 Nov →
inferno13–50.0416%2 Nov →
mirage15–15-0.0227%2 Nov →
anubis13–50.0927%30 Oct →
ancient16–14-0.0320%30 Oct →
mirage2–13-0.0319%29 Oct →
dust213–40.0329%29 Oct →
mirage13–110.0426%29 Oct →
dust213–8-0.0425%26 Oct →
cache5–13-0.0522%26 Oct →
dust25–130.0127%26 Oct →
dust28–130.0329%26 Oct →
cache9–13-0.0211%25 Oct →
nuke13–80.0418%25 Oct →
dust213–10.0318%25 Oct →
ancient6–13-0.0122%25 Oct →
inferno10–13-0.0214%23 Oct →
mirage13–9-0.0214%23 Oct →
inferno11–130.1215%23 Oct →
dust29–130.0915%23 Oct →
vertigo13–50.1916%22 Oct →
nuke4–130.0213%22 Oct →
cache8–130.0819%22 Oct →
cache3–130.0125%22 Oct →
cache5–130.0818%22 Oct →
anubis3–13-0.0920%18 Oct →
mirage2–12-0.019%18 Oct →
mirage9–130.0024%18 Oct →
dust26–130.0119%18 Oct →
inferno8–130.0424%16 Oct →
ancient13–6-0.0415%16 Oct →
inferno13–30.089%16 Oct →
dust213–90.0718%16 Oct →
mirage11–13-0.0326%16 Oct →
cache13–160.1712%4 Oct →
cache12–160.0919%4 Oct →
dust211–130.0617%4 Oct →
nuke8–130.1215%28 Sept →
dust210–130.1510%27 Sept →
mirage16–13-0.029%27 Sept →
anubis13–110.1013%27 Sept →
nuke13–10-0.039%27 Sept →
train13–110.0113%24 Sept →
cache7–130.0728%24 Sept →
nuke4–13-0.0515%24 Sept →
cache13–70.1823%24 Sept →
anubis8–130.0420%20 Sept →
ancient13–100.0218%16 Sept →
nuke13–100.1421%11 Sept →
dust213–70.0523%10 Sept →
nuke9–130.1122%7 Sept →
nuke13–20.2019%7 Sept →
cache6–130.0323%5 Sept →
cache13–30.0621%30 Aug →
cache13–90.0715%30 Aug →
train11–130.0724%23 Aug →
anubis11–130.0622%19 Aug →
mirage9–130.0420%19 Aug →
vertigo4–13-0.0120%19 Aug →
vertigo12–12-0.0220%18 Aug →
train11–130.1219%18 Aug →
train13–80.0231%18 Aug →
cache7–130.0820%7 Aug →
vertigo13–9-0.0426%7 Aug →
nuke13–80.0822%3 Aug →
train13–80.0420%2 Aug →
nuke13–30.1131%2 Aug →
vertigo12–120.1016%2 Aug →
vertigo13–100.0823%2 Aug →
cache12–120.1724%1 Jul →
cache3–130.0432%1 Jul →
cache13–70.1830%1 Jul →
nuke7–130.0717%1 Jul →
mirage7–13-0.0221%1 Jul →
train13–100.1113%27 Jun →
mirage7–13-0.0127%27 Jun →
nuke13–60.0825%26 Jun →
nuke2–13-0.0020%26 Jun →
inferno13–160.0120%25 Jun →
ancient6–130.0222%25 Jun →
mirage13–11-0.0120%23 Jun →
anubis5–130.0521%23 Jun →
nuke7–130.0834%23 Jun →
vertigo13–60.1522%9 Jun →
vertigo12–120.1029%9 Jun →
vertigo13–30.1226%9 Jun →
cache5–130.0121%8 Jun →
vertigo13–70.0631%8 Jun →
vertigo9–130.0514%8 Jun →
dust29–13-0.0212%7 Jun →
mirage11–13-0.0235%28 May →
dust213–5-0.0123%19 May →
nuke13–10-0.0317%19 May →
dust25–13-0.0322%14 May →
office13–110.0222%14 May →
office13–70.0919%14 May →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.