Kaîser

Kaîser — CS2 Stats

FR76561198145164949[U:1:184899221]Steam profile ↗✓ No bans

1,786Tracked matches59%Win rate2022Tracked since
4,681Hours in CS3Hrs last 2 wks
CSDB Rating6.3 SolidSupport
FaceitLevel 10 · 2,319 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,319 → 2,319
+4Tracked matches · now 1,786
−3.4ppWin rate · 62.1% → 58.6%

Rating over time

Premier CS Rating: 23,816 +713 20 May – 2 Jul · 14 days played
23,10324,510peak 24,51020 May2 Jul
24,510Peak Premier in tracked matches
2,319Highest Faceit ELO seen on CSDB
57Days played since 2026-05-20

Faceit ELO

  • At peak — 2,319
  • Next: 2,500 ELO at 2,500 — 181 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-15
  • Level 9 first seen 2026-09-15

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=30,986), 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 rate47.4%50.9%
Shot accuracy10.1%13.7%
Kill/death ratio1.301.09
Match win rate38.4%48.4%

Share this profile

CSDB.GGKaîserFACEITLevel 10 · 2,319 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,319csdb.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

Aim68
Positioning58
Utility76

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWLTLWLLWW

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +10.0pp headshot accuracy · +16ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 556ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 556ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 548ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim6.8
Utility7.6
Positioning5.8
Opening Duels3.9
Clutch3.8

High utility contribution

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

ZywOo

Plays most like ZywOo 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Reaction time. 577ms 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
Positioning5.8
Utility7.6
Mechanics6.1
Opening Duels3.0
Win Impact7.9

Composite 6.3/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time584ms−72ms
first ⅓ avg 656ms → last ⅓ avg 584ms
Headshot accuracy17.5%+0.9%
first ⅓ avg 16.7% → last ⅓ avg 17.5%

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

0.19Best match rating · 13–4 · anubis, 21 Jul →
77%Best headshot accuracy · 6–13 · cache, 2 Jul →
328msFastest reaction time · 1–9 · nuke, 5 Oct →
13–0Biggest win · cache, 21 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

vertigoBest map · 71% over 7dust2Weakest map · 41% over 29
MapGradePlayedRecordWin rateAvg rating
dust2C2912–1741%-0.00
infernoB189–950%0.00
anubisS1812–667%0.01
nukeC125–742%0.01
vertigoS75–271%0.08
cacheS64–267%0.07
train—33–0100%0.06
mirage—21–150%0.04
overpass—21–150%-0.02
debris—10–10%-0.12
ancient—10–10%0.04
office—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

294,889Lifetime kills
1.30K/D · Top 25% of Level 10 players
7,325Matches
38.4%Match win rate
47.4%Headshot %
10.1%Shot accuracy
16,398MVPs
6,298Hours (in match)
5,930Bombs planted
1,600Bombs defused

Most-used weapons

AK-4782,513
AWP25,890
P25015,636
Glock-1811,737
FAMAS8,062
MP96,772

Lifetime map wins

30,836dust2
4,023inferno
3,093vertigo
2,689nuke
535train
265office
74lake
72cbble

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

Faceit stats

Combat

770Matches
54%Win rate
1.15Avg K/D
86.0ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust217961%1.2417.7
Anubis12658%1.1517.3
Inferno10853%1.1717.0
Nuke8947%1.0816.3
Ancient7552%1.1417.0
Overpass5151%1.0817.1
Mirage4844%1.0515.9
Vertigo4243%1.1918.5

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.

17.1%Headshot accuracy
35.7%Accuracy (enemy spotted)
40.9%Spray accuracy
77.3%Counter-strafing
10.9°Preaim
577msReaction time
39.0%T opening success
45.2%CT opening success
0.61Enemies flashed / flash
11.6%Flash assists
12.10HE damage / grenade
23.10Flashes / 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 38.9803% — below the 40% mark we flag

Spend your practice time on Dust 2

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

41% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke1–9-0.106%5 Oct →
vertigo13–50.0924%5 Oct →
inferno3–13-0.0116%15 Sept →
inferno15–150.0231%11 Sept →
inferno5–13-0.0733%8 Sept →
inferno13–8-0.0121%7 Sept →
dust27–130.0123%7 Sept →
dust27–13-0.0421%6 Sept →
dust213–80.0014%28 Aug →
nuke13–70.0724%26 Aug →
inferno13–100.0317%24 Aug →
inferno13–80.0718%21 Aug →
mirage13–60.098%19 Aug →
anubis6–13-0.048%18 Aug →
dust29–13-0.107%18 Aug →
nuke13–110.0023%17 Aug →
dust213–40.059%16 Aug →
inferno13–70.036%16 Aug →
dust216–13-0.0510%15 Aug →
dust216–13-0.008%15 Aug →
anubis7–13-0.007%10 Aug →
dust29–13-0.0519%3 Aug →
dust29–130.0212%3 Aug →
nuke5–13-0.0418%3 Aug →
dust213–100.0321%3 Aug →
nuke10–13-0.0617%28 Jul →
vertigo13–60.1324%27 Jul →
anubis13–110.0318%26 Jul →
anubis13–110.0124%26 Jul →
cache13–60.0620%22 Jul →
nuke10–13-0.0312%21 Jul →
cache13–00.1137%21 Jul →
anubis13–40.1924%21 Jul →
inferno7–13-0.0115%21 Jul →
inferno13–11-0.029%20 Jul →
dust213–100.0126%17 Jul →
anubis13–11-0.0724%16 Jul →
debris7–9-0.1211%13 Jul →
nuke13–90.0615%12 Jul →
cache13–20.1314%12 Jul →
dust25–130.0624%12 Jul →
nuke9–130.0215%10 Jul →
inferno13–11-0.009%10 Jul →
ancient8–130.0415%9 Jul →
inferno11–13-0.0312%5 Jul →
dust213–6-0.0514%4 Jul →
vertigo12–120.0618%2 Jul →
cache6–13-0.0677%2 Jul →
dust27–13-0.0127%2 Jul →
anubis1–13-0.066%2 Jul →
anubis13–4-0.0219%1 Jul →
dust213–60.0212%30 Jun →
anubis4–0-0.0210%30 Jun →
dust213–70.039%30 Jun →
mirage5–13-0.0029%29 Jun →
anubis13–9-0.0314%29 Jun →
dust211–13-0.0620%29 Jun →
inferno8–13-0.039%29 Jun →
anubis13–70.0322%27 Jun →
dust27–130.0319%27 Jun →
dust213–8-0.007%27 Jun →
inferno5–13-0.025%24 Jun →
vertigo11–130.0516%22 Jun →
dust215–150.1118%22 Jun →
inferno13–90.0118%21 Jun →
cache13–70.0814%18 Jun →
train13–5-0.0121%18 Jun →
nuke15–150.067%17 Jun →
train13–70.0322%17 Jun →
train13–10.1523%17 Jun →
vertigo13–110.0616%16 Jun →
anubis13–8-0.0116%15 Jun →
vertigo13–110.0525%15 Jun →
vertigo13–60.0919%14 Jun →
nuke13–70.0415%13 Jun →
dust24–13-0.0511%13 Jun →
overpass16–19-0.0415%11 Jun →
nuke9–130.0215%11 Jun →
dust211–130.0725%11 Jun →
anubis13–50.0815%9 Jun →
inferno2–13-0.0119%9 Jun →
anubis10–130.0213%7 Jun →
dust210–13-0.0114%3 Jun →
dust213–90.0212%3 Jun →
dust28–13-0.0318%3 Jun →
dust210–13-0.0116%1 Jun →
anubis2–13-0.0228%1 Jun →
dust213–80.0318%28 May →
office5–13-0.0620%27 May →
anubis16–140.0314%27 May →
dust28–13-0.0510%27 May →
dust25–13-0.0222%27 May →
inferno5–13-0.0213%25 May →
nuke13–110.0513%25 May →
anubis10–13-0.0216%24 May →
overpass13–11-0.0114%23 May →
inferno13–6-0.0112%23 May →
anubis13–10.002%22 May →
cache12–120.1026%20 May →
inferno13–70.1326%20 May →

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 →

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