k0ijjari.-

k0ijjari.- — CS2 Stats

FI76561197993382567[U:1:33116839]Steam profile ↗✓ No bans

1,873Tracked matches43%Win rate2022Tracked since
1,927Hours in CS
CSDB Rating5.4 DevelopingSupport
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (6 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: 14,999 +973 8 Aug – 30 Oct · 19 days played
13,35615,646peak 15,6468 Aug30 Oct
15,646Peak Premier in tracked matches
23Days played since 2026-07-29

Premier CS Rating

  • 647 below peak (15,646)
  • +216 over 30 days · steady
  • +973 over 90 days
  • Next: Purple band at 15,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches4——
Win rate50%——
K/D1.27——
Headshot %49%——

Measured 27 Oct 2026 → 5 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate38.7%42.0%44.4%5.7% short
Shot accuracy9.5%9.6%11.9%2.3% short
Kill/death ratio1.010.981.03meets
Match win rate42.9%43.8%45.2%2.3% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGk0ijjari.-PREMIER14,999 · Blue bandcsdb.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

Aim56
Positioning60
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateWLLWLWWWLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +3.7pp headshot accuracy · −60ms reaction

Win rate up 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 737ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 707ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 737ms

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 (+2.6 against its own average).

Aim5.6
Utility6.4
Positioning6.0
Opening Duels2.9
Clutch0.0

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 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 54% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 729ms 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

Aim5.6
Positioning6.0
Utility6.4
Mechanics8.3
Opening Duels2.9
Win Impact2.8

Composite 5.4/10 (Developing), 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 rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time729ms+2ms
first ⅓ avg 727ms → last ⅓ avg 729ms
Headshot accuracy15.5%−0.2%
first ⅓ avg 15.7% → last ⅓ avg 15.5%

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

0.14Best match rating · 13–5 · inferno, 24 Oct →
40%Best headshot accuracy · 13–5 · inferno, 11 Aug →
531msFastest reaction time · 13–10 · mirage, 24 Oct →
13–0Biggest win · dust2, 21 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 59% over 22dust2Weakest map · 24% over 21
MapGradePlayedRecordWin rateAvg rating
infernoB2312–1152%0.00
nukeA2213–959%-0.02
dust2D215–1624%-0.02
mirageB115–645%-0.01
cacheC104–640%-0.04
ancientD62–433%-0.02
anubis—43–175%-0.03
train—21–150%-0.02
vertigo—11–0100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (24% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,611Lifetime kills
1.01K/D · Top 50% of Blue band
5,238Matches
42.9%Match win rate
38.7%Headshot %
9.5%Shot accuracy
10,206MVPs
1,927Hours (in match)
5,833Bombs planted
827Bombs defused

Most-used weapons

AK-4730,338
AWP10,618
MP93,062
MAC-102,361
FAMAS2,196

Lifetime map wins

7,124inferno
6,107nuke
4,351dust2
648vertigo
314train
107lake
34cbble
29italy

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

Faceit stats

Combat

1Matches
0%Win rate
0.42Avg K/D
49.2ADR
62%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

16.1%Headshot accuracy
34.7%Accuracy (enemy spotted)
39.0%Spray accuracy
87.3%Counter-strafing
11.7°Preaim
729msReaction time
27.8%T opening success
53.6%CT opening success
0.67Enemies flashed / flash
4.0%Flash assists
11.57HE damage / grenade
7.31Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 728.8405ms — above the 700ms mark we flag

    Aim Training →
  2. 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 27.7873% — below the 40% mark we flag

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.

24% win rate across 21 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
inferno13–20.0419%30 Oct →
nuke11–130.0117%30 Oct →
cache5–13-0.0712%30 Oct →
nuke13–70.0324%30 Oct →
dust22–13-0.078%24 Oct →
nuke13–100.0019%24 Oct →
mirage13–100.0731%24 Oct →
inferno13–50.1419%24 Oct →
ancient5–13-0.0115%24 Oct →
cache13–50.0313%24 Oct →
dust211–13-0.0016%23 Oct →
nuke13–20.0113%23 Oct →
anubis13–50.057%23 Oct →
dust210–13-0.0115%23 Oct →
dust214–16-0.037%23 Oct →
anubis4–13-0.1420%18 Oct →
inferno10–130.0122%18 Oct →
mirage6–13-0.0614%18 Oct →
cache2–130.028%18 Oct →
inferno13–80.0216%17 Oct →
nuke13–9-0.0314%17 Oct →
nuke5–4-0.0310%17 Oct →
inferno13–6-0.0123%17 Oct →
nuke8–13-0.0920%17 Oct →
ancient5–12-0.0317%17 Oct →
nuke13–40.0114%17 Oct →
inferno13–30.0719%16 Oct →
mirage3–13-0.1014%16 Oct →
dust23–130.0116%16 Oct →
mirage7–13-0.0024%16 Oct →
ancient9–13-0.075%10 Oct →
nuke16–14-0.0414%10 Oct →
anubis13–8-0.038%10 Oct →
dust26–13-0.0524%10 Oct →
inferno13–9-0.0231%10 Oct →
cache4–13-0.069%10 Oct →
ancient13–8-0.0116%9 Oct →
vertigo13–6-0.0424%9 Oct →
train13–7-0.0114%9 Oct →
nuke9–130.016%9 Oct →
dust25–13-0.0411%9 Oct →
inferno13–5-0.0022%9 Oct →
mirage8–130.0422%9 Oct →
inferno10–13-0.069%26 Sept →
dust27–13-0.0812%25 Sept →
mirage3–130.0121%25 Sept →
inferno16–130.1030%25 Sept →
cache13–50.0337%25 Sept →
mirage13–40.0819%24 Sept →
nuke11–13-0.046%24 Sept →
dust23–130.0016%29 Aug →
nuke13–9-0.0324%28 Aug →
dust213–2-0.0130%28 Aug →
dust24–13-0.0615%28 Aug →
inferno13–100.0620%28 Aug →
dust27–130.0116%21 Aug →
dust213–00.0415%21 Aug →
nuke13–7-0.0013%19 Aug →
inferno13–4-0.0225%19 Aug →
mirage16–140.0014%19 Aug →
nuke13–9-0.0117%19 Aug →
ancient13–50.0227%19 Aug →
inferno6–13-0.0212%19 Aug →
cache8–13-0.0412%19 Aug →
inferno9–130.0213%19 Aug →
dust213–90.0123%19 Aug →
mirage7–13-0.0424%18 Aug →
dust213–9-0.0317%18 Aug →
inferno13–70.0016%18 Aug →
nuke6–13-0.0617%18 Aug →
inferno6–9-0.1720%18 Aug →
nuke12–10-0.0414%12 Aug →
train5–13-0.0216%12 Aug →
inferno1–13-0.076%12 Aug →
dust25–130.0111%12 Aug →
cache1–13-0.054%12 Aug →
nuke8–80.0715%12 Aug →
inferno5–90.0521%12 Aug →
inferno4–13-0.0314%11 Aug →
inferno13–5-0.0340%11 Aug →
anubis13–2-0.017%11 Aug →
dust28–130.1022%11 Aug →
inferno5–13-0.0212%11 Aug →
mirage13–11-0.0117%11 Aug →
nuke0–13-0.1115%9 Aug →
nuke12–16-0.0712%9 Aug →
cache3–13-0.0920%9 Aug →
mirage13–11-0.1110%8 Aug →
nuke13–11-0.0415%8 Aug →
inferno6–130.0517%8 Aug →
ancient15–150.0010%8 Aug →
dust213–7-0.0211%8 Aug →
nuke4–13-0.0916%7 Aug →
nuke13–9-0.0120%7 Aug →
inferno7–130.0232%7 Aug →
dust22–130.0022%7 Aug →
dust28–13-0.034%7 Aug →
dust29–13-0.1012%7 Aug →
cache13–9-0.0613%30 Jul →
cache13–8-0.0723%29 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.