KaiSon

KaiSon — CS2 Stats

DE76561198316217161[U:1:355951433]Steam profile ↗✓ No bans

1,372Tracked matches42%Win rate2021Tracked since
1,640Hours in CS
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating18,930Top 50% of 212,910 CSDB-tracked playersPurple band · top ~12.8% of ranked players (population est.)
CSDB Leaderboard#99991 of 259655 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (7 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: 18,930 +4,259 24 Aug – 27 Oct · 11 days played
14,67118,930peak 18,93024 Aug27 Oct
18,930Peak Premier in tracked matches
47Days played since 2026-08-08

Premier CS Rating

  • At peak — 18,930
  • +820 over 30 days · improving
  • Next: Pink band at 20,000 — 1,070 to go
  • Reached: 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 Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate5.0%42.7%43.8%38.8% short
Shot accuracy13.3%11.2%12.0%above
Kill/death ratio1.060.991.02above
Match win rate47.6%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKaiSonFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,930 · Purple bandcsdb.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

Aim85
Positioning64
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY42–44–14Last 10042%Win rateLWWLWWLWLL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · +6.5pp headshot accuracy · +25ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 32%
  • Avg reaction 547ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 548ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 535ms

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 against its own average).

Aim8.5
Utility2.2
Positioning6.4
Opening Duels4.5

Sharp aimerStrong T-side openerLimited 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

donk

Plays most like donk 83% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower 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

T openings. 81% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 81% on T to 38% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim8.5
Positioning6.4
Utility2.2
Mechanics3.1
Opening Duels6.0
Win Impact2.2

Composite 5.4/10 (Developing), 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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time530ms−28ms
first ⅓ avg 558ms → last ⅓ avg 530ms
Headshot accuracy19.6%+0.4%
first ⅓ avg 19.2% → last ⅓ avg 19.6%

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

0.22Best match rating · 9–4 · nuke, 18 Oct →
63%Best headshot accuracy · 6–13 · office, 18 Sept →
344msFastest reaction time · 2–9 · office, 18 Oct →
13–0Biggest win · office, 30 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 61% over 18officeWeakest map · 36% over 56
MapGradePlayedRecordWin rateAvg rating
officeC5620–3636%0.01
nukeA1811–761%0.03
cacheB105–550%0.02
dust2C52–340%-0.01
infernoC52–340%0.02
mirage—20–20%-0.02
anubis—21–150%0.02
italy—10–10%-0.01
train—11–0100%-0.02

Across the last 100 tracked matches.

Lifetime stats

651,048Lifetime kills
1.06K/D · Top 50% of Level 4 players
5,668Matches
47.6%Match win rate · Top 25% of Level 4 players
5.0%Headshot %
13.3%Shot accuracy · Top 50% of Level 4 players
11,026MVPs
1,640Hours (in match)
1,145Bombs planted
321Bombs defused

Most-used weapons

AK-47546,478
Sawed-Off39,654
AWP10,202
XM10147,067
P902,902
FAMAS2,206

Lifetime map wins

22,047office
3,694nuke
2,553dust2
1,913inferno
1,036vertigo
511lake
388cbble
171train

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

Faceit stats

Combat

18Matches
50%Win rate
0.95Avg K/D
—ADR
48%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo650%1.0518.3
Anubis367%0.7512.7
Ancient10%0.9314.0
Inferno1100%1.2515.0
Nuke1100%1.3619.0

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.

18.4%Headshot accuracy
40.1%Accuracy (enemy spotted)
42.4%Spray accuracy
63.8%Counter-strafing
7.1°Preaim
481msReaction time
81.2%T opening success
37.7%CT opening success
0.15Enemies flashed / flash
0.0%Flash assists
13.80HE damage / grenade
0.59Flashes / 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 0.1539 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.7172% — 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.

40% win rate across 5 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
office7–13-0.0317%31 Oct →
office13–30.0539%31 Oct →
nuke9–30.1939%31 Oct →
nuke1–9-0.0826%31 Oct →
office13–00.0738%30 Oct →
office13–90.0216%28 Oct →
office10–13-0.0118%28 Oct →
nuke13–10-0.0216%27 Oct →
office11–130.0822%26 Oct →
cache5–13-0.0310%24 Oct →
office7–13-0.0018%24 Oct →
office12–12-0.0127%24 Oct →
nuke2–9-0.1516%24 Oct →
nuke6–9-0.0312%24 Oct →
office13–30.0036%23 Oct →
office7–130.0012%23 Oct →
office10–13-0.0310%23 Oct →
office12–120.0517%22 Oct →
office12–120.0120%22 Oct →
dust26–13-0.059%21 Oct →
office6–130.0717%21 Oct →
office6–13-0.0810%21 Oct →
nuke9–50.1916%21 Oct →
nuke7–9-0.0118%21 Oct →
nuke9–50.1313%18 Oct →
nuke7–9-0.1210%18 Oct →
nuke9–50.0924%18 Oct →
nuke9–40.2225%18 Oct →
office2–90.0033%18 Oct →
office9–130.0124%17 Oct →
office12–12-0.0416%17 Oct →
office13–6-0.0111%17 Oct →
office10–130.0212%16 Oct →
office4–13-0.118%16 Oct →
office13–70.0014%16 Oct →
office13–9-0.044%15 Oct →
office13–11-0.0113%15 Oct →
office12–12-0.0117%14 Oct →
office12–120.0247%9 Oct →
office13–11-0.0117%9 Oct →
mirage5–13-0.0510%9 Oct →
office13–50.1348%9 Oct →
office12–120.0223%8 Oct →
office2–13-0.0419%8 Oct →
office13–30.0413%7 Oct →
office13–9-0.0327%7 Oct →
office8–130.0023%6 Oct →
office13–20.0614%4 Oct →
office13–70.0414%4 Oct →
nuke16–120.0514%4 Oct →
mirage15–150.0217%4 Oct →
office12–120.0018%3 Oct →
office13–30.1021%1 Oct →
office6–13-0.0028%1 Oct →
dust213–10-0.058%30 Sept →
office4–13-0.0228%30 Sept →
office12–120.0418%30 Sept →
nuke13–100.016%26 Sept →
dust214–16-0.0324%25 Sept →
nuke9–5-0.0115%23 Sept →
office12–120.0118%22 Sept →
office12–120.0618%20 Sept →
office6–13-0.0563%18 Sept →
office12–120.0625%17 Sept →
nuke5–9-0.054%17 Sept →
office13–50.0314%16 Sept →
office13–20.2220%16 Sept →
office13–11-0.0126%16 Sept →
office13–11-0.0119%12 Sept →
cache16–120.0524%12 Sept →
cache13–80.0619%12 Sept →
office6–13-0.0215%11 Sept →
office12–120.0116%11 Sept →
office13–7-0.0535%9 Sept →
office4–13-0.0313%8 Sept →
office10–130.0516%6 Sept →
office3–13-0.0229%30 Aug →
nuke13–50.0616%28 Aug →
cache7–130.0610%27 Aug →
cache13–0-0.0016%27 Aug →
office10–130.0727%27 Aug →
italy11–13-0.0110%27 Aug →
anubis11–130.0419%25 Aug →
cache6–130.0119%25 Aug →
inferno13–50.0611%25 Aug →
dust28–13-0.0314%25 Aug →
cache13–70.0525%24 Aug →
inferno7–13-0.0119%23 Aug →
nuke5–13-0.0016%22 Aug →
anubis16–13-0.0010%22 Aug →
cache13–6-0.0219%22 Aug →
nuke9–50.0814%20 Aug →
inferno11–130.0427%16 Aug →
cache11–13-0.0420%15 Aug →
inferno13–100.0017%15 Aug →
train13–11-0.0215%15 Aug →
inferno11–130.0221%13 Aug →
dust25–10.1238%13 Aug →
cache3–130.0129%8 Aug →
office11–130.0112%8 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 →

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