KaijaKookas

KaijaKookas — CS2 Stats

HM76561198967809162[U:1:1007543434]Steam profile ↗✓ No bans

970Tracked matches59%Win rate2020Tracked since
825Hours in CS
CSDB Rating6.5 SolidSupport
Premier CS Rating13,802Blue band · top ~34.7% of ranked players (population est.)
FaceitLevel 6 · 1,215 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 13,802 +2,319 26 Aug – 14 Nov · 28 days played
11,48313,802peak 13,80226 Aug14 Nov
Faceit ELO: 1,215 +0 10 Sept – 14 Nov · 4 observations
1,2151,215peak 1,21510 Sept14 Nov
14,256Peak Premier in tracked matches
1,215Highest Faceit ELO seen on CSDB
37Days played since 2026-07-16

Faceit ELO

  • At peak — 1,215
  • Next: Level 7 at 1,351 — 136 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-10
  • Level 5 first seen 2026-09-10

Premier CS Rating

  • At peak — 13,802
  • +2,319 over 90 days
  • Next: Purple band at 15,000 — 1,198 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-10
  • Light Blue band first seen 2026-09-10

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate39.6%44.8%45.7%6.1% short
Shot accuracy17.0%12.4%12.7%above
Kill/death ratio0.971.031.050.09 short
Match win rate38.8%45.2%45.7%6.9% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKaijaKookasFACEITLevel 6 · 1,215 ELOSTANDINGTop 54.0% of rankedPREMIER13,802 · Blue bandPEAK ELO1,215csdb.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

Aim76
Positioning59
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWLWWWLLWTL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +6.4pp headshot accuracy · −18ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 520ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 541ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 550ms

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 (+1 against its own average).

Aim7.6
Utility6.0
Positioning5.9
Opening Duels3.6
Clutch4.4

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

Twistzz

Plays most like Twistzz 92% 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

Areas to improve

Reaction time. 563ms 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

Aim7.6
Positioning5.9
Utility6.0
Mechanics7.7
Opening Duels5.5
Win Impact7.9

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time567ms−57ms
first ⅓ avg 624ms → last ⅓ avg 567ms
Headshot accuracy16.0%−5.3%
first ⅓ avg 21.4% → last ⅓ avg 16.0%

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

0.18Best match rating · 13–1 · mirage, 7 Oct →
43%Best headshot accuracy · 3–9 · mirage, 6 Sept →
297msFastest reaction time · 4–0 · vertigo, 9 Sept →
13–1Biggest win · vertigo, 5 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
14–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 75% over 12dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC208–1240%-0.01
mirageA1911–858%0.01
infernoS129–375%-0.01
ancientC114–736%0.02
cacheA116–555%-0.01
anubisA117–464%0.00
dust2D71–614%-0.01
vertigoC52–340%0.04
train—21–150%0.10
overpass—11–0100%0.06
debris—11–0100%0.17

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,226Lifetime kills
0.97K/D
2,476Matches
38.8%Match win rate
39.6%Headshot %
17.0%Shot accuracy · Top 25% of Level 6 players
5,551MVPs
825Hours (in match)
1,728Bombs planted
613Bombs defused

Most-used weapons

Lifetime map wins

2,623nuke
2,251vertigo
1,255inferno
612dust2
530train
348lake
204cbble
122office

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

Faceit stats

Combat

213Matches
51%Win rate
1.00Avg K/D
78.4ADR
45%Headshot %

Clutches & streaks

42%1v1 clutch win
8%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8052%1.0116.3
Nuke4349%1.0214.2
Anubis2741%0.9513.6
Ancient1747%0.8611.6
Vertigo850%0.8715.1
Dust2729%0.8713.6
Inferno5100%0.9218.2
Overpass580%1.4719.0

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.

15.9%Headshot accuracy
37.0%Accuracy (enemy spotted)
38.5%Spray accuracy
84.6%Counter-strafing
10.0°Preaim
563msReaction time
49.1%T opening success
54.6%CT opening success
0.59Enemies flashed / flash
7.5%Flash assists
11.26HE damage / grenade
9.50Flashes / match

Recommended for you

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.

14% win rate across 7 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
ancient16–130.0342%13 Nov →
cache6–13-0.0432%12 Nov →
anubis13–9-0.048%12 Nov →
inferno13–110.0121%12 Nov →
ancient13–80.0815%11 Nov →
inferno5–13-0.0228%11 Nov →
nuke3–13-0.0714%11 Nov →
anubis13–90.0219%11 Nov →
train12–120.0715%11 Nov →
vertigo9–130.0515%11 Nov →
anubis13–40.0513%11 Nov →
dust24–13-0.0115%11 Nov →
mirage2–130.0220%11 Nov →
anubis13–90.0510%10 Nov →
nuke14–160.0616%10 Nov →
inferno16–13-0.0214%10 Nov →
dust27–130.0528%9 Nov →
cache16–130.0713%9 Nov →
mirage8–130.0310%9 Nov →
inferno13–7-0.076%8 Nov →
nuke13–7-0.0015%8 Nov →
cache13–9-0.0712%7 Nov →
mirage16–140.0011%6 Nov →
nuke13–11-0.0014%6 Nov →
mirage10–13-0.0210%5 Nov →
inferno13–40.0120%5 Nov →
mirage10–130.0310%5 Nov →
nuke13–60.019%5 Nov →
nuke3–13-0.019%5 Nov →
vertigo13–10.0510%5 Nov →
nuke15–15-0.0416%4 Nov →
cache13–60.0119%4 Nov →
nuke13–40.0520%4 Nov →
dust210–130.0218%4 Nov →
mirage13–11-0.0111%3 Nov →
cache13–100.0229%2 Nov →
vertigo2–130.0216%1 Nov →
nuke6–13-0.0711%1 Nov →
anubis13–60.0122%1 Nov →
ancient10–130.0410%30 Oct →
dust26–13-0.036%30 Oct →
ancient9–80.1211%30 Oct →
nuke11–130.0412%30 Oct →
inferno13–110.0418%29 Oct →
overpass13–110.0624%29 Oct →
anubis14–16-0.0221%28 Oct →
mirage7–13-0.0313%27 Oct →
inferno6–13-0.0811%27 Oct →
nuke13–100.0118%27 Oct →
mirage13–40.0918%27 Oct →
ancient13–20.0620%27 Oct →
cache5–13-0.0515%7 Oct →
mirage13–10.1830%7 Oct →
ancient11–13-0.0316%4 Oct →
nuke1–7-0.0113%23 Sept →
mirage13–11-0.0117%23 Sept →
anubis6–130.0012%23 Sept →
cache5–13-0.0813%23 Sept →
dust213–110.0115%18 Sept →
mirage13–110.0014%16 Sept →
inferno7–13-0.0221%13 Sept →
nuke3–13-0.1017%13 Sept →
dust24–13-0.0121%13 Sept →
train13–70.1219%9 Sept →
vertigo12–120.0128%9 Sept →
vertigo4–00.0817%9 Sept →
ancient6–130.0319%9 Sept →
mirage3–9-0.0543%6 Sept →
ancient1–8-0.0640%6 Sept →
anubis13–10-0.0214%6 Sept →
cache13–9-0.0125%6 Sept →
nuke13–110.0224%6 Sept →
cache13–100.0529%6 Sept →
mirage13–10-0.0423%1 Sept →
nuke11–13-0.0320%1 Sept →
nuke11–130.0519%1 Sept →
nuke13–30.0527%30 Aug →
nuke13–3-0.1018%29 Aug →
inferno13–8-0.0116%29 Aug →
nuke5–5-0.0311%26 Aug →
inferno13–7-0.0520%26 Aug →
anubis9–13-0.0116%24 Aug →
mirage13–20.0432%24 Aug →
mirage13–11-0.0513%23 Aug →
debris9–30.1732%23 Aug →
ancient12–16-0.0020%19 Aug →
anubis6–13-0.0219%19 Aug →
mirage8–2-0.0831%16 Aug →
inferno16–14-0.0122%16 Aug →
mirage11–13-0.0420%16 Aug →
ancient13–110.0115%13 Aug →
nuke9–13-0.0610%13 Aug →
inferno13–60.047%13 Aug →
anubis13–80.0113%9 Aug →
cache10–13-0.0325%9 Aug →
ancient9–13-0.0414%9 Aug →
mirage13–110.099%4 Aug →
mirage7–130.0428%4 Aug →
cache11–130.0022%16 Jul →
dust28–13-0.0728%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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