AJIDALE

AJIDALE — CS2 Stats

KE76561198249136980[U:1:288871252]Steam profile ↗✓ No bans

579Tracked matches43%Win rate2024Tracked since
3,681Hours in CS44Hrs last 2 wks
CSDB Rating4.6 DevelopingAll-Rounder
Premier CS Rating11,000Blue band · top ~49.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (3 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 26 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,000 -3,999 26 Jun15 Sept · 27 days played
9,99915,698peak 15,69826 Jun15 Sept
15,842Peak Premier in tracked matches
34Days played since 2026-06-26

Premier CS Rating

  • 4,698 below peak (15,698)
  • +768 over 30 days · improving
  • -3,999 over 90 days
  • Next: Purple band at 15,000 4,000 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-13
  • Light Blue band first seen 2026-09-13

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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches3
Win rate67%
K/D1.17
Headshot %35%

Measured 13 Sep 202618 Sep 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=19,543), 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 rate33.7%41.9%44.3%10.7% short
Shot accuracy0.0%9.6%11.8%11.8% short
Kill/death ratio0.650.981.030.38 short
Match win rate34.0%43.8%45.2%11.2% short

This profile sits below the typical Purple band player on every metric we can compare.

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.GGAJIDALEPREMIER11,000 · 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

Aim63
Positioning52
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY42526Last 10042%Win rateLWWWLWWLWL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +5.4pp headshot accuracy · −33ms 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

  • 32 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 474ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 523ms

Last 20

  • 992 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 539ms

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.

Aim6.3
Utility5.2
Positioning5.2
Opening Duels3.5

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 88% 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

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.3
Positioning5.2
Utility5.2
Mechanics3.7
Opening Duels3.3
Win Impact2.6

Composite 4.6/10 (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 time537ms−21ms
first ⅓ avg 558ms → last ⅓ avg 537ms
Headshot accuracy16.9%+0.4%
first ⅓ avg 16.4% → last ⅓ avg 16.9%

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

0.09Best match rating · 13–9 · ancient, 25 Jul
47%Best headshot accuracy · 2–13 · anubis, 6 Aug
391msFastest reaction time · 6–13 · ancient, 3 Sept
13–2Biggest win · cache, 1 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
612In matches decided by ≤2 rounds
17Overtime games

Map breakdown

cacheBest map · 57% over 7infernoWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
ancientC30131743%-0.01
anubisC2191243%-0.01
infernoC1761135%-0.02
nukeC156940%-0.02
cacheA74357%-0.03
dust2C52340%-0.02
overpass32167%-0.02
mirage2020%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,760Lifetime kills
0.65K/D
1,968Matches
34.0%Match win rate
33.7%Headshot %
0.0%Shot accuracy
2,446MVPs
1,640Hours (in match)
2,004Bombs planted
298Bombs defused

Most-used weapons

Lifetime map wins

2,295inferno
2,147dust2
2,027nuke
700vertigo
671train
3italy
1office
1ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.5%Headshot accuracy
36.3%Accuracy (enemy spotted)
36.9%Spray accuracy
66.7%Counter-strafing
10.2°Preaim
541msReaction time
40.6%T opening success
45.6%CT opening success
0.43Enemies flashed / flash
6.7%Flash assists
9.40HE damage / grenade
10.81Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4267 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis8–130.0520%15 Sept
ancient13–70.0518%15 Sept
cache16–14-0.0512%15 Sept
inferno13–90.0223%12 Sept
nuke3–13-0.0614%12 Sept
nuke13–9-0.0128%8 Sept
ancient13–30.0713%8 Sept
cache7–13-0.0311%8 Sept
inferno13–70.0316%8 Sept
ancient10–13-0.0131%8 Sept
ancient13–4-0.049%3 Sept
anubis5–130.0124%3 Sept
ancient6–13-0.056%3 Sept
nuke10–13-0.039%31 Aug
nuke15–150.0110%31 Aug
ancient14–16-0.070%31 Aug
nuke15–15-0.0415%27 Aug
anubis2–13-0.0523%27 Aug
anubis13–7-0.0319%27 Aug
ancient13–4-0.0417%25 Aug
inferno14–16-0.0226%25 Aug
cache13–100.0121%25 Aug
inferno3–13-0.0116%24 Aug
nuke8–13-0.0517%24 Aug
anubis13–110.0417%22 Aug
cache11–130.0121%22 Aug
dust211–130.0112%22 Aug
ancient13–11-0.0310%22 Aug
ancient11–130.0318%19 Aug
inferno1–13-0.0836%19 Aug
ancient13–30.0919%19 Aug
anubis13–60.0311%19 Aug
ancient13–9-0.0018%18 Aug
ancient13–5-0.064%18 Aug
anubis11–13-0.0126%18 Aug
inferno11–13-0.058%16 Aug
ancient2–13-0.0611%16 Aug
ancient11–130.0018%16 Aug
anubis9–13-0.059%13 Aug
ancient9–13-0.0117%13 Aug
nuke16–12-0.0217%12 Aug
dust213–50.0226%12 Aug
ancient7–130.0332%7 Aug
inferno9–13-0.076%7 Aug
ancient7–13-0.0715%7 Aug
inferno14–16-0.0314%6 Aug
anubis2–13-0.0447%6 Aug
nuke13–3-0.0127%6 Aug
ancient0–13-0.0714%6 Aug
inferno7–13-0.0128%4 Aug
anubis15–15-0.0219%4 Aug
mirage15–150.0417%3 Aug
ancient13–60.0318%3 Aug
cache13–6-0.0315%3 Aug
anubis13–30.0322%3 Aug
nuke13–11-0.0113%2 Aug
ancient4–130.0112%2 Aug
nuke5–13-0.0312%2 Aug
anubis13–11-0.029%1 Aug
anubis16–130.0516%1 Aug
inferno3–13-0.0114%1 Aug
ancient2–13-0.1213%1 Aug
nuke13–7-0.0328%1 Aug
anubis13–30.0611%1 Aug
cache13–20.0319%1 Aug
dust21–13-0.0718%1 Aug
ancient9–13-0.0424%27 Jul
cache10–13-0.146%27 Jul
ancient6–13-0.0622%27 Jul
nuke13–10-0.0920%27 Jul
inferno10–13-0.0315%26 Jul
ancient8–13-0.0216%25 Jul
mirage11–13-0.0321%25 Jul
ancient13–90.0925%25 Jul
inferno7–130.0219%25 Jul
inferno16–14-0.059%22 Jul
ancient15–15-0.0512%22 Jul
dust213–10-0.0513%20 Jul
inferno13–9-0.0320%20 Jul
inferno13–3-0.0118%18 Jul
anubis6–13-0.0713%18 Jul
inferno2–13-0.058%18 Jul
ancient12–16-0.0617%18 Jul
anubis11–13-0.0516%13 Jul
anubis9–13-0.0610%10 Jul
anubis13–16-0.0411%9 Jul
nuke10–13-0.0013%9 Jul
overpass13–10-0.0617%6 Jul
nuke15–150.0523%6 Jul
nuke10–130.0038%4 Jul
overpass13–80.0133%4 Jul
dust27–13-0.0021%4 Jul
overpass4–13-0.0219%2 Jul
ancient13–9-0.0114%2 Jul
ancient16–130.027%29 Jun
anubis13–60.0316%29 Jun
inferno16–13-0.027%29 Jun
anubis11–13-0.0615%29 Jun
ancient13–60.0118%26 Jun
anubis13–10-0.0510%26 Jun

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 →