kajja

kajja — CS2 Stats

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

384Tracked matches54%Win rate2025Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
CSDB Leaderboard#86439 of 237804 tracked
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 22 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,425 +388 22 Mar19 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

STEADY46504Last 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 637ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 617ms

Last 20

  • 992 · 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-RounderNo style dimension stands clear of the others in this profile.

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

jL

Plays most like jL 72% 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
74In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 57% over 14nukeWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB21101148%-0.00
mirageC2081240%-0.01
dust2C167944%-0.00
nukeC1661038%-0.00
ancientA148657%0.01
anubisB84450%-0.02
cache32167%-0.02
overpass21150%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

258Matches
53%Win rate
1.13Avg K/D
94.0ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
36%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke2100%1.5915.5
Anubis2100%2.5620.5
Dust21100%0.9417.0
Inferno1100%1.5024.0
Mirage1100%1.2515.0
Vertigo10%1.0715.0
Cache1100%1.0522.0
Ancient1100%1.2316.0

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 & strategyNuke 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 →