kizen

kizen — CS2 Stats

PT76561198834723453[U:1:874457725]Steam profile ↗✓ No bans

1,275Tracked matches57%Win rate2020Tracked since
3,493Hours in CS
CSDB Rating5.8 SolidSupport
FaceitLevel 10 · 2,141 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,141 → 2,141
+4Tracked matches · now 1,275
0.0ppWin rate · 56.7% → 56.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 57 days played since 1 Oct 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 15,376 -222 17 Dec10 May · 16 days played
14,60919,474peak 19,47417 Dec10 May
Faceit ELO: 2,141 +0 5 Sept14 Sept · 2 observations
2,1412,141peak 2,1415 Sept14 Sept
19,574Peak Premier in tracked matches
2,141Highest Faceit ELO seen on CSDB
57Days played since 2025-10-01

Faceit ELO

  • At peak — 2,141
  • Next: 2,500 ELO at 2,500 359 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-05
  • Level 9 first seen 2026-09-05

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=26,479), 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 10 median
Headshot rate44.2%51.0%
Shot accuracy18.2%13.7%
Kill/death ratio0.891.09
Match win rate47.5%48.4%

Share this profile

CSDB.GGkizenFACEITLevel 10 · 2,141 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,141csdb.gg/stats

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Performance scores

Aim69
Positioning57
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY58411Last 10058%Win rateWLWLWWWLLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +1.6pp headshot accuracy · −8ms 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

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 506ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 569ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 573ms

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: SupportUtility contribution stands above the rest of this profile (+2 against its own average).

Aim6.9
Utility6.2
Positioning5.7
Opening Duels2.9
Clutch2.2

Strong CT-side opener

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

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

T-side openings. Opening success drops from 53% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim6.9
Positioning5.7
Utility6.2
Mechanics4.5
Opening Duels2.8
Win Impact7.2

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time600ms−3ms
first ⅓ avg 603ms → last ⅓ avg 600ms
Headshot accuracy21.5%+2.6%
first ⅓ avg 19.0% → last ⅓ avg 21.5%

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

0.20Best match rating · 13–6 · nuke, 25 Oct
41%Best headshot accuracy · 16–12 · dust2, 4 Sept
414msFastest reaction time · 19–16 · inferno, 2 Dec
13–0Biggest win · dust2, 9 May

Across the last 100 tracked matches.

Highlights

9Longest win streak
75In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 69% over 13ancientWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A29161355%0.01
infernoS2013765%0.02
mirageA169756%0.03
nukeS139469%0.04
ancientB115645%-0.00
cache42250%-0.01
train32167%0.02
anubis2020%-0.02
vertigo110100%0.07
overpass110100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

132,403Lifetime kills
0.89K/D
4,986Matches
47.5%Match win rate
44.2%Headshot %
18.2%Shot accuracy · Top 25% of Level 10 players
14,792MVPs
3,493Hours (in match)
6,642Bombs planted
2,387Bombs defused

Most-used weapons

AK-4743,362
AWP25,796
Knife2,748
FAMAS2,527
MAC-102,311

Lifetime map wins

21,870inferno
13,200dust2
4,262vertigo
4,187train
3,432nuke
111cbble
11safehouse
6lake

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

Faceit stats

Combat

3,271Matches
51%Win rate
0.94Avg K/D
67.8ADR
37%Headshot %

Clutches & streaks

31%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust223051%1.0014.8
Inferno18361%1.0313.9
Ancient13048%0.9013.4
Nuke10159%0.9714.1
Mirage3842%0.8711.8
Train3664%1.0313.7
Cache2850%1.0013.6
Vertigo2627%0.7912.1

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.

21.9%Headshot accuracy
34.1%Accuracy (enemy spotted)
35.0%Spray accuracy
70.2%Counter-strafing
8.3°Preaim
588msReaction time
28.3%T opening success
52.7%CT opening success
0.54Enemies flashed / flash
6.5%Flash assists
7.51HE damage / grenade
15.00Flashes / 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 28.3436% — 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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–120.0341%4 Sept
dust25–13-0.0517%31 Aug
inferno13–50.0112%24 Aug
cache12–160.0129%19 Aug
cache13–11-0.0232%18 Aug
nuke13–110.0624%14 Aug
inferno13–90.0414%19 Jul
dust27–13-0.0913%13 Jul
ancient6–13-0.0115%13 Jul
ancient6–13-0.0426%27 Jun
dust210–130.0329%21 May
cache11–13-0.029%14 May
dust27–130.0522%10 May
ancient13–90.0210%10 May
anubis9–13-0.039%9 May
dust213–00.0715%9 May
nuke13–50.0828%9 May
mirage13–60.0331%8 May
inferno13–80.0229%8 May
cache13–2-0.0224%6 May
dust213–100.0221%27 Apr
nuke13–8-0.0018%17 Apr
nuke8–130.0124%15 Apr
inferno19–160.0424%27 Mar
dust29–13-0.0021%26 Mar
inferno9–130.0315%26 Mar
dust213–30.0223%26 Mar
dust213–6-0.0430%25 Mar
ancient13–50.1321%24 Mar
mirage3–130.0416%24 Mar
anubis9–13-0.0122%16 Mar
mirage13–90.0827%16 Mar
mirage13–60.0319%16 Mar
dust216–140.0133%12 Mar
inferno7–13-0.0124%12 Mar
dust212–16-0.080%12 Mar
ancient13–60.0224%11 Mar
nuke3–13-0.0015%10 Mar
dust213–70.0530%10 Mar
inferno13–16-0.0333%3 Mar
ancient3–13-0.0514%1 Mar
mirage5–130.0334%1 Mar
ancient10–13-0.0112%1 Mar
mirage13–60.0518%1 Mar
inferno13–110.0324%1 Mar
dust213–80.0519%1 Mar
inferno11–130.0633%13 Feb
inferno13–11-0.0417%26 Jan
ancient7–13-0.0435%25 Jan
dust216–14-0.0220%19 Jan
ancient13–40.0116%10 Jan
mirage3–130.0527%10 Jan
train13–110.0732%10 Jan
mirage13–50.0817%9 Jan
inferno13–60.0324%8 Jan
mirage9–13-0.0333%7 Jan
nuke13–30.0819%7 Jan
inferno18–22-0.0226%5 Jan
dust213–6-0.0122%31 Dec
nuke6–13-0.0429%30 Dec
dust211–130.0123%28 Dec
dust216–120.0020%28 Dec
inferno9–130.0227%28 Dec
mirage7–13-0.0232%28 Dec
vertigo6–00.0740%23 Dec
dust213–30.0625%23 Dec
mirage13–6-0.018%23 Dec
dust213–80.0320%22 Dec
inferno13–100.1214%22 Dec
overpass13–2-0.0324%22 Dec
mirage13–20.1016%22 Dec
nuke13–60.0511%22 Dec
mirage13–8-0.0421%21 Dec
dust25–13-0.0015%21 Dec
mirage3–13-0.0522%21 Dec
nuke13–70.0327%17 Dec
dust213–60.0617%17 Dec
dust28–130.0120%17 Dec
dust211–130.0622%17 Dec
inferno19–16-0.0220%2 Dec
ancient3–13-0.047%6 Nov
inferno13–80.0227%5 Nov
train16–120.0021%4 Nov
inferno13–7-0.0419%27 Oct
dust213–30.0110%27 Oct
dust215–150.1018%27 Oct
mirage13–16-0.0518%27 Oct
inferno13–30.0622%26 Oct
mirage13–60.1511%26 Oct
nuke13–60.2027%25 Oct
nuke13–100.0218%25 Oct
ancient13–60.0222%25 Oct
nuke13–70.0726%21 Oct
dust24–13-0.0618%17 Oct
inferno3–13-0.046%17 Oct
dust26–130.0425%14 Oct
train11–13-0.0016%14 Oct
dust213–50.0428%11 Oct
nuke6–13-0.0711%8 Oct
inferno13–20.0629%1 Oct

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →