Kai

Kai — CS2 Stats

76561198162636963[U:1:202371235]Steam profile ↗✓ No bans

1,624Tracked matches70%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
Premier CS Rating21,502Top 50% of 211,308 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#62979 of 258284 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (4 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: 21,502 +9,582 1 Dec – 24 Oct · 12 days played
11,44521,502peak 21,5021 Dec24 Oct
21,623Peak Premier in tracked matches
45Days played since 2025-04-20

Premier CS Rating

  • At peak — 21,502
  • Next: Red band at 25,000 — 3,498 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.

Share this profile

CSDB.GGKaiFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER21,502 · Pink bandcsdb.gg/stats

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Performance scores

Aim64
Positioning66
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLWWWWLLLTL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · −13ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 610ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 588ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 595ms

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).

Aim6.4
Utility5.5
Positioning6.6
Opening Duels3.2
Clutch6.0

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 585ms 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

Aim6.4
Positioning6.6
Utility5.5
Mechanics6.9
Opening Duels5.7
Win Impact10.0

Composite 6.8/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time583ms−68ms
first ⅓ avg 651ms → last ⅓ avg 583ms
Headshot accuracy15.1%−1.3%
first ⅓ avg 16.3% → last ⅓ avg 15.1%

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

0.15Best match rating · 8–0 · mirage, 5 Oct →
33%Best headshot accuracy · 8–0 · mirage, 5 Oct →
422msFastest reaction time · 13–11 · anubis, 23 Sept →
13–1Biggest win · anubis, 8 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 80% over 10infernoWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA2113–862%0.01
nukeD186–1233%-0.01
infernoD163–1319%-0.04
anubisA106–460%0.01
dust2S108–280%0.01
cacheS75–271%0.01
ancientA53–260%-0.00
overpass—41–325%0.00
office—32–167%-0.03
train—32–167%-0.01
poseidon—11–0100%0.13
vertigo—10–10%-0.02
palacio—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

334Matches
54%Win rate
0.97Avg K/D
59.9ADR
43%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo3155%0.8713.7
Mirage2966%0.9413.8
Anubis2352%0.9112.5
Nuke1145%0.9214.0
Inferno956%0.7612.8
Ancient944%0.8814.3
Overpass580%1.1616.0
Dust23100%0.7111.7

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.

14.1%Headshot accuracy
38.0%Accuracy (enemy spotted)
37.7%Spray accuracy
81.3%Counter-strafing
12.4°Preaim
585msReaction time
57.0%T opening success
48.4%CT opening success
0.61Enemies flashed / flash
9.5%Flash assists
8.08HE damage / grenade
6.72Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3669° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.0551% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–130.0420%24 Oct →
ancient13–90.0213%24 Oct →
cache13–100.0620%24 Oct →
anubis13–8-0.0522%24 Oct →
nuke13–11-0.0214%23 Oct →
anubis9–13-0.0115%23 Oct →
nuke9–13-0.116%14 Oct →
inferno6–13-0.0011%12 Oct →
cache15–15-0.0211%12 Oct →
inferno10–13-0.0313%9 Oct →
mirage13–5-0.0018%9 Oct →
ancient15–15-0.0113%9 Oct →
dust213–9-0.0213%9 Oct →
ancient13–4-0.0211%9 Oct →
cache13–5-0.024%9 Oct →
nuke5–130.0416%8 Oct →
ancient13–70.0014%8 Oct →
mirage13–2-0.106%8 Oct →
anubis13–20.0911%8 Oct →
anubis13–10.0125%8 Oct →
dust213–10-0.0418%8 Oct →
nuke15–150.0517%8 Oct →
mirage13–100.019%7 Oct →
anubis10–13-0.0411%6 Oct →
nuke13–80.0614%6 Oct →
nuke13–60.1113%6 Oct →
cache13–100.0617%6 Oct →
cache13–110.0121%6 Oct →
inferno10–130.0311%6 Oct →
cache13–9-0.0015%5 Oct →
anubis13–10.0926%5 Oct →
mirage8–00.1533%5 Oct →
dust213–4-0.0017%5 Oct →
nuke13–40.0819%5 Oct →
inferno13–70.0614%5 Oct →
cache11–13-0.0021%5 Oct →
mirage13–20.027%5 Oct →
office13–11-0.0816%4 Oct →
office4–13-0.0312%4 Oct →
office13–20.0218%4 Oct →
ancient11–13-0.0011%4 Oct →
anubis15–15-0.0311%27 Sept →
nuke9–13-0.0420%27 Sept →
anubis13–11-0.0218%23 Sept →
inferno7–13-0.0312%23 Sept →
nuke9–13-0.062%16 Sept →
mirage8–13-0.0014%16 Sept →
inferno13–2-0.0132%16 Sept →
anubis13–60.0018%14 Sept →
inferno9–13-0.0612%14 Sept →
mirage13–90.1319%13 Sept →
nuke1–9-0.2025%10 Feb →
inferno5–13-0.0711%10 Feb →
poseidon9–50.1321%3 Feb →
inferno8–8-0.1118%3 Feb →
mirage13–60.0211%3 Feb →
vertigo8–8-0.026%21 Jan →
nuke4–9-0.1215%21 Jan →
inferno6–13-0.058%21 Jan →
mirage13–9-0.0315%21 Jan →
palacio13–9-0.0318%16 Jan →
nuke9–13-0.0315%5 Jan →
mirage13–70.0528%5 Jan →
dust212–30.0120%6 Dec →
dust213–100.1130%1 Dec →
inferno0–13-0.0820%1 Dec →
overpass13–160.0116%1 Dec →
nuke4–13-0.0514%1 Dec →
mirage9–130.0119%29 Nov →
dust210–13-0.0118%30 Oct →
mirage6–13-0.0815%28 Sept →
overpass4–13-0.0314%28 Sept →
mirage2–13-0.0716%24 Sept →
train14–16-0.0610%24 Sept →
overpass13–110.0318%22 Sept →
mirage9–130.0115%14 Sept →
dust213–9-0.0317%14 Sept →
mirage2–13-0.067%14 Sept →
inferno14–16-0.0017%4 Sept →
inferno7–13-0.076%23 Aug →
dust24–130.0015%23 Aug →
train13–90.0125%23 Aug →
nuke16–140.0126%22 Aug →
dust213–90.0820%22 Aug →
nuke8–13-0.0318%16 Aug →
overpass11–130.0225%15 Aug →
nuke16–140.0521%26 Jul →
inferno13–2-0.025%25 Jul →
nuke9–130.0210%23 Jul →
mirage13–80.0215%21 Jul →
mirage13–30.1027%18 Jul →
dust213–60.0221%10 Jul →
mirage13–50.038%20 Jun →
train13–40.0320%17 Jun →
mirage4–13-0.0520%15 Jun →
inferno2–13-0.0217%14 Jun →
inferno4–13-0.105%14 Jun →
mirage13–40.0318%13 Jun →
nuke11–13-0.0114%13 Jun →
mirage2–13-0.0222%20 Apr →

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 →

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