Kataja

Kataja — CS2 Stats

FI76561199082266189[U:1:1122000461]Steam profile ↗✓ No bans

1,659Tracked matches66%Win rate2020Tracked since
1,867Hours in CS7Hrs last 2 wks
CSDB Rating7.4 StrongSupport
Premier CS Rating21,290Top 50% of 213,211 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#66299 of 259973 tracked
FaceitLevel 7 · 884 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (9 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: 21,290 +1,095 16 Aug – 27 Oct · 25 days played
20,19522,610peak 22,61016 Aug27 Oct
22,610Peak Premier in tracked matches
884Highest Faceit ELO seen on CSDB
35Days played since 2026-08-16

Faceit ELO

  • At peak — 884
  • Next: Level 4 at 901 — 17 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-18
  • Level 2 first seen 2026-09-18

Premier CS Rating

  • 1,320 below peak (22,610)
  • -340 over 30 days · steady
  • Next: Red band at 25,000 — 3,710 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple band first seen 2026-09-18

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate50.4%45.7%46.8%above
Shot accuracy4.7%12.7%13.0%8.3% short
Kill/death ratio1.001.051.060.07 short
Match win rate46.1%45.7%46.3%meets

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKatajaFACEITLevel 7 · 884 ELOSTANDINGTop 42.3% of rankedPREMIER21,290 · Pink bandPEAK ELO884csdb.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

Aim80
Positioning63
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateWLWLTLWWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +4.8pp headshot accuracy · −22ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 625ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 586ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 597ms

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).

Aim8.0
Utility6.3
Positioning6.3
Opening Duels4.7
Clutch4.0

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 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 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

Aim8.0
Positioning6.3
Utility6.3
Mechanics6.4
Opening Duels6.5
Win Impact10.0

Composite 7.4/10 (Strong), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time575ms+24ms
first ⅓ avg 551ms → last ⅓ avg 575ms
Headshot accuracy17.7%+3.0%
first ⅓ avg 14.7% → last ⅓ avg 17.7%

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

0.11Best match rating · 13–4 · dust2, 12 Oct →
45%Best headshot accuracy · 6–13 · inferno, 21 Sept →
328msFastest reaction time · 4–13 · mirage, 1 Sept →
13–0Biggest win · office, 28 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
9–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 69% over 13cacheWeakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
cacheC188–1044%-0.03
mirageB179–853%-0.01
nukeA159–660%0.02
dust2S139–469%0.01
ancientB115–645%-0.00
anubisC94–544%-0.05
infernoA74–357%-0.02
train—43–175%0.04
office—31–233%-0.00
italy—11–0100%0.05
vertigo—11–0100%0.00
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Lifetime stats

47,174Lifetime kills
1.00K/D
2,393Matches
46.1%Match win rate · Top 50% of Level 7 players
50.4%Headshot % · Top 50% of Level 7 players
4.7%Shot accuracy
5,702MVPs
992Hours (in match)
2,480Bombs planted
619Bombs defused

Most-used weapons

Lifetime map wins

3,375nuke
3,278inferno
1,890dust2
1,255vertigo
606train
457office
67cbble
48italy

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

Faceit stats

Combat

138Matches
54%Win rate
1.14Avg K/D
86.2ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
37%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3158%1.2116.2
Nuke2152%1.4818.8
Inferno1155%1.0215.1
Dust21173%1.2616.0
Anubis1050%1.1516.4
Ancient771%1.0313.6
Cache743%0.8011.9
Vertigo650%0.9017.3

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.

18.3%Headshot accuracy
36.1%Accuracy (enemy spotted)
44.4%Spray accuracy
78.9%Counter-strafing
8.8°Preaim
577msReaction time
55.5%T opening success
56.2%CT opening success
0.51Enemies flashed / flash
8.1%Flash assists
9.57HE damage / grenade
12.91Flashes / match

Recommended for you

Spend your practice time on Cache

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

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0829%2 Nov →
inferno9–13-0.0542%2 Nov →
office13–00.0315%28 Oct →
anubis10–13-0.067%27 Oct →
cache15–15-0.0322%27 Oct →
ancient11–13-0.0214%27 Oct →
dust213–10.0429%22 Oct →
mirage13–110.0418%22 Oct →
dust29–13-0.0119%22 Oct →
nuke13–60.0313%14 Oct →
ancient13–90.0115%14 Oct →
cache7–13-0.0116%14 Oct →
mirage16–13-0.0321%13 Oct →
dust213–80.0122%13 Oct →
inferno13–2-0.0113%13 Oct →
dust213–40.1118%12 Oct →
cache10–13-0.0114%12 Oct →
anubis13–11-0.048%12 Oct →
mirage8–130.0018%10 Oct →
train6–130.0715%10 Oct →
mirage11–13-0.0516%10 Oct →
train13–70.0210%8 Oct →
nuke10–130.0721%8 Oct →
mirage13–110.0522%7 Oct →
nuke13–60.0620%7 Oct →
train13–110.0515%7 Oct →
train13–110.0127%7 Oct →
dust216–13-0.0214%5 Oct →
ancient13–10.0015%5 Oct →
dust213–60.0218%5 Oct →
mirage13–8-0.0215%5 Oct →
dust213–40.0412%5 Oct →
dust22–13-0.108%1 Oct →
anubis6–13-0.1011%1 Oct →
cache1–13-0.0411%1 Oct →
dust213–60.0513%29 Sept →
mirage13–70.0015%28 Sept →
ancient4–13-0.0714%27 Sept →
italy13–110.0521%27 Sept →
mirage5–13-0.0313%26 Sept →
cache2–13-0.057%26 Sept →
dust21–9-0.0717%26 Sept →
mirage9–13-0.0323%26 Sept →
cache13–10-0.0416%26 Sept →
ancient13–80.0619%26 Sept →
vertigo13–100.0018%23 Sept →
mirage10–13-0.0415%23 Sept →
inferno6–13-0.0545%21 Sept →
ancient3–13-0.0521%21 Sept →
cache7–13-0.0533%21 Sept →
anubis13–8-0.064%17 Sept →
cache13–9-0.0413%17 Sept →
mirage8–130.0818%17 Sept →
nuke13–10-0.0326%17 Sept →
ancient8–13-0.0414%16 Sept →
inferno7–10-0.0427%16 Sept →
anubis11–13-0.068%16 Sept →
anubis13–7-0.0115%16 Sept →
ancient12–120.0117%16 Sept →
mirage7–13-0.0429%13 Sept →
cache13–70.0525%13 Sept →
nuke13–90.0314%10 Sept →
cache13–60.0511%10 Sept →
dust211–13-0.0619%6 Sept →
mirage13–7-0.0217%6 Sept →
anubis13–16-0.035%3 Sept →
cache13–5-0.009%2 Sept →
ancient16–130.0213%2 Sept →
office9–13-0.0114%2 Sept →
mirage4–13-0.098%1 Sept →
cache4–4-0.0914%1 Sept →
office10–13-0.0226%1 Sept →
nuke10–13-0.0618%1 Sept →
overpass13–8-0.029%1 Sept →
cache5–13-0.1129%30 Aug →
cache7–13-0.0310%28 Aug →
inferno13–110.0314%28 Aug →
mirage16–12-0.0111%27 Aug →
nuke5–70.0817%27 Aug →
nuke13–4-0.0311%27 Aug →
dust213–100.0620%27 Aug →
nuke11–13-0.0117%27 Aug →
nuke13–100.0219%27 Aug →
ancient3–130.0515%27 Aug →
cache7–130.0218%27 Aug →
nuke11–13-0.0216%26 Aug →
mirage13–110.0012%26 Aug →
nuke9–40.0610%26 Aug →
dust213–90.0312%25 Aug →
ancient13–50.0115%25 Aug →
cache13–10-0.0315%25 Aug →
inferno13–10-0.0118%21 Aug →
nuke3–13-0.0110%21 Aug →
inferno13–6-0.0417%21 Aug →
anubis13–50.028%19 Aug →
anubis8–13-0.0718%19 Aug →
mirage13–50.0720%17 Aug →
nuke13–90.0712%17 Aug →
cache11–13-0.057%16 Aug →
nuke13–50.0211%16 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 →

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