kajja

kajja — CS2 Stats

SE76561198208345905[U:1:248080177]Steam profile ↗✓ No bans

390Tracked matches54%Win rate2025Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 390
0.0ppWin rate · 53.6% → 53.6%

Rating over time

Premier CS Rating: 19,425 +388 22 Mar – 19 Aug · 33 days played
16,52721,565peak 21,56522 Mar19 Aug
21,565Peak Premier in tracked matches
39Days played since 2026-03-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim52
Positioning54
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLWLWLTWLLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −2.8pp headshot accuracy · +27ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 637ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 617ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 603ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.2
Utility5.9
Positioning5.4
Opening Duels4.4
Clutch5.6

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

jL

Plays most like jL 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 610ms 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

Aim5.2
Positioning5.4
Utility5.9
Mechanics4.7
Opening Duels4.1
Win Impact6.2

Composite 5.3/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time622ms−20ms
first ⅓ avg 642ms → last ⅓ avg 622ms
Headshot accuracy21.6%+2.7%
first ⅓ avg 18.9% → last ⅓ avg 21.6%

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

0.13Best match rating · 13–9 · ancient, 24 May →
43%Best headshot accuracy · 2–10 · dust2, 31 May →
422msFastest reaction time · 13–1 · inferno, 24 Jul →
13–1Biggest win · inferno, 24 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 57% over 14nukeWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB2110–1148%-0.00
mirageC208–1240%-0.01
dust2C167–944%-0.00
nukeC166–1038%-0.00
ancientA148–657%0.01
anubisB84–450%-0.02
cache—32–167%-0.02
overpass—21–150%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

274Matches
53%Win rate
1.12Avg K/D
79.9ADR
42%Headshot %

Clutches & streaks

48%1v1 clutch win
32%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%0.8711.5
Inferno450%1.0313.3
Anubis475%1.6315.0
Dust2425%0.8713.5
Nuke3100%1.3914.7
Ancient3100%1.1417.3
Vertigo10%1.0715.0
Cache1100%1.0522.0

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.

21.2%Headshot accuracy
28.4%Accuracy (enemy spotted)
31.2%Spray accuracy
71.1%Counter-strafing
9.6°Preaim
610msReaction time
39.8%T opening success
53.3%CT opening success
0.69Enemies flashed / flash
5.0%Flash assists
9.89HE damage / grenade
6.62Flashes / 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 39.7771% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0126%22 Sept →
cache16–13-0.0013%20 Aug →
dust25–13-0.100%19 Aug →
nuke13–60.0223%7 Aug →
anubis7–13-0.0224%7 Aug →
nuke15–150.0420%7 Aug →
nuke13–80.0320%7 Aug →
anubis10–13-0.0322%3 Aug →
inferno9–13-0.0717%3 Aug →
dust213–3-0.0139%3 Aug →
cache15–15-0.0020%3 Aug →
anubis13–8-0.0214%26 Jul →
mirage13–40.0227%26 Jul →
mirage2–13-0.0727%26 Jul →
inferno13–11-0.0722%24 Jul →
cache13–11-0.0524%24 Jul →
inferno13–10.0930%24 Jul →
mirage10–13-0.0415%24 Jul →
mirage10–13-0.0320%24 Jul →
inferno7–13-0.0332%17 Jul →
dust26–13-0.0317%17 Jul →
ancient13–110.0023%17 Jul →
inferno5–13-0.0418%13 Jul →
mirage0–13-0.0423%13 Jul →
inferno13–9-0.0120%13 Jul →
mirage13–50.0925%13 Jul →
dust213–30.0827%12 Jul →
nuke13–60.0317%12 Jul →
anubis11–13-0.0225%12 Jul →
inferno13–9-0.0418%3 Jul →
ancient6–13-0.0520%3 Jul →
mirage10–130.0019%3 Jul →
mirage6–130.0226%18 Jun →
mirage9–13-0.0718%15 Jun →
ancient5–13-0.0217%15 Jun →
mirage2–13-0.0730%12 Jun →
dust24–13-0.0322%12 Jun →
dust213–20.0529%10 Jun →
anubis13–100.0330%10 Jun →
ancient9–13-0.0315%10 Jun →
nuke3–13-0.049%10 Jun →
mirage13–100.0419%10 Jun →
nuke6–13-0.0615%10 Jun →
inferno10–130.0231%6 Jun →
mirage5–130.0421%6 Jun →
inferno13–90.0012%31 May →
anubis13–11-0.0412%31 May →
inferno6–13-0.0321%31 May →
dust22–10-0.0543%31 May →
nuke13–9-0.0320%28 May →
mirage8–13-0.0519%28 May →
inferno13–160.0225%28 May →
ancient13–90.1315%24 May →
inferno2–00.000%24 May →
dust215–15-0.0515%24 May →
ancient13–60.0238%22 May →
inferno13–70.0925%19 May →
nuke6–13-0.0724%19 May →
ancient13–70.0116%19 May →
overpass7–130.0316%19 May →
nuke13–7-0.0512%15 May →
anubis4–13-0.0122%15 May →
ancient7–13-0.0325%15 May →
ancient13–20.0422%15 May →
mirage13–40.0330%13 May →
inferno3–13-0.1318%12 May →
dust213–50.1116%12 May →
inferno4–130.0224%12 May →
dust23–13-0.0019%11 May →
nuke6–130.0042%11 May →
ancient8–13-0.0019%9 May →
dust29–13-0.0414%9 May →
inferno13–90.059%8 May →
inferno10–13-0.0731%8 May →
ancient13–30.0629%4 May →
overpass13–9-0.0115%4 May →
mirage13–110.0020%4 May →
dust214–160.1013%30 Apr →
dust213–9-0.0410%20 Apr →
mirage8–13-0.0914%20 Apr →
inferno10–13-0.0013%14 Apr →
mirage13–20.0818%14 Apr →
mirage13–100.0118%13 Apr →
ancient13–60.0328%8 Apr →
nuke10–130.0118%8 Apr →
ancient13–80.0522%7 Apr →
nuke13–50.1023%7 Apr →
dust213–10-0.0128%7 Apr →
inferno13–50.1016%2 Apr →
anubis13–7-0.035%2 Apr →
nuke8–13-0.0023%2 Apr →
nuke15–150.0217%30 Mar →
inferno13–60.1018%27 Mar →
nuke8–13-0.0416%27 Mar →
mirage9–13-0.0813%27 Mar →
dust213–40.0120%26 Mar →
mirage16–140.0020%26 Mar →
ancient7–130.0019%26 Mar →
inferno11–13-0.0118%22 Mar →
nuke3–13-0.0015%22 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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