✪ISOKELA✪

✪ISOKELA✪ — CS2 Stats

76561198234320676[U:1:274054948]Steam profile ↗✓ No bans

1,439Tracked matches62%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,744 → 1,744
+15Tracked matches · now 1,439
−11.5ppWin rate · 73.1% → 61.5%

Rating over time

Premier CS Rating: 23,567 +63 12 Apr – 24 May · 3 days played
23,50424,012peak 24,01212 Apr24 May
24,012Peak Premier in tracked matches
1,744Highest Faceit ELO seen on CSDB
38Days played since 2026-03-26

Faceit ELO

  • At peak — 1,744
  • Next: Level 9 at 1,751 — 7 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-19
  • Level 7 first seen 2026-09-19

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.

Share this profile

CSDB.GG✪ISOKELA✪PEAK ELO1,744csdb.gg/stats

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Performance scores

Aim63
Positioning38
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY50–41–9Last 10050%Win rateTWLLLWLWLW

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −1.0pp headshot accuracy · +12ms reaction

Win rate down 40pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 503ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 530ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 524ms

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 (+3.6 against its own average).

Aim6.3
Utility7.5
Positioning3.8
Opening Duels0.0
Clutch4.2

High utility contribution

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 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 43% on T to 24% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 66% 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
Positioning3.8
Utility7.5
Mechanics3.6
Opening Duels1.6
Win Impact8.8

Composite 5.1/10 (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 rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time524ms−39ms
first ⅓ avg 562ms → last ⅓ avg 524ms
Headshot accuracy11.4%−0.2%
first ⅓ avg 11.6% → last ⅓ avg 11.4%

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

0.17Best match rating · 9–4 · inferno, 26 Mar →
25%Best headshot accuracy · 13–6 · inferno, 12 Sept →
359msFastest reaction time · 1–9 · inferno, 6 Apr →
13–2Biggest win · ancient, 12 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
1–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 67% over 12anubisWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
cacheB3317–1652%0.04
infernoB2914–1548%0.01
ancientS128–467%-0.00
mirageA116–555%0.01
anubisC104–640%0.02
dust2—20–20%-0.04
nuke—20–20%-0.03
train—11–0100%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

219Matches
53%Win rate
1.22Avg K/D
85.7ADR
33%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient3868%1.1416.7
Mirage3152%1.2516.3
Inferno2744%1.1517.6
Nuke1346%1.1415.0
Overpass1136%1.2018.1
Anubis729%1.2715.6
Dust260%0.8614.5
Vertigo2100%1.0317.0

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.

11.1%Headshot accuracy
35.9%Accuracy (enemy spotted)
42.5%Spray accuracy
66.2%Counter-strafing
9.6°Preaim
528msReaction time
43.0%T opening success
24.5%CT opening success
0.59Enemies flashed / flash
4.7%Flash assists
9.37HE damage / grenade
18.10Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.1267% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 24.4665% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache15–15-0.0213%10 Oct →
inferno13–70.0110%10 Oct →
inferno5–13-0.066%4 Oct →
anubis9–130.0311%30 Sept →
inferno11–130.029%28 Sept →
ancient19–16-0.0511%27 Sept →
dust28–13-0.0314%27 Sept →
cache13–40.019%26 Sept →
ancient0–13-0.0117%26 Sept →
mirage13–50.006%18 Sept →
mirage13–4-0.0512%18 Sept →
inferno13–90.025%18 Sept →
cache13–100.0712%18 Sept →
anubis12–12-0.018%18 Sept →
inferno13–80.0915%14 Sept →
anubis13–30.0113%14 Sept →
cache13–30.107%14 Sept →
inferno13–60.0725%12 Sept →
anubis10–130.0310%12 Sept →
ancient13–20.039%12 Sept →
cache0–13-0.027%12 Sept →
mirage13–40.0914%11 Sept →
inferno12–120.0710%11 Sept →
cache13–80.0713%11 Sept →
inferno11–130.0314%9 Sept →
anubis13–40.1411%4 Aug →
mirage12–120.0116%4 Aug →
inferno6–13-0.073%4 Aug →
cache13–70.1614%4 Aug →
cache9–130.0410%4 Aug →
inferno12–12-0.0411%26 Jul →
cache5–130.0325%26 Jul →
ancient13–80.058%28 Jun →
cache13–70.059%28 Jun →
inferno11–13-0.016%28 Jun →
cache13–20.0716%28 Jun →
inferno4–1-0.0421%28 Jun →
cache13–70.0714%25 Jun →
cache13–30.0915%6 Jun →
ancient13–100.0312%6 Jun →
inferno13–110.1111%6 Jun →
anubis10–13-0.0117%6 Jun →
cache13–70.0912%6 Jun →
mirage9–13-0.0310%6 Jun →
inferno13–60.069%6 Jun →
cache13–50.0710%6 Jun →
ancient13–90.0215%24 May →
inferno12–120.0410%24 May →
cache11–13-0.0311%24 May →
inferno9–13-0.0214%22 May →
cache10–13-0.0411%22 May →
cache11–13-0.076%19 May →
inferno13–50.039%18 May →
cache13–70.0114%18 May →
inferno5–13-0.0310%15 May →
cache8–130.1012%15 May →
inferno6–13-0.0421%14 May →
mirage5–130.028%14 May →
cache9–130.1115%13 May →
cache13–30.0716%13 May →
anubis13–80.0112%13 May →
inferno6–13-0.028%13 May →
dust24–13-0.069%13 May →
ancient8–13-0.017%13 May →
cache12–120.0713%13 May →
mirage13–50.059%13 May →
inferno13–80.0211%12 May →
cache7–130.018%12 May →
ancient13–10-0.039%10 May →
cache13–60.017%10 May →
cache12–120.019%6 May →
cache13–40.0516%5 May →
cache11–13-0.0115%5 May →
cache9–130.077%5 May →
cache13–70.0114%4 May →
cache6–13-0.0714%4 May →
cache11–130.0114%3 May →
cache13–80.018%3 May →
inferno13–70.049%22 Apr →
inferno13–60.1415%21 Apr →
ancient13–3-0.0224%20 Apr →
inferno6–13-0.005%20 Apr →
mirage13–100.0013%16 Apr →
ancient12–12-0.0211%16 Apr →
inferno13–70.0119%16 Apr →
ancient13–5-0.0412%12 Apr →
inferno2–13-0.0511%12 Apr →
nuke2–13-0.0112%11 Apr →
anubis13–8-0.058%11 Apr →
inferno1–9-0.260%6 Apr →
nuke8–13-0.0410%6 Apr →
mirage10–130.0314%6 Apr →
anubis10–130.048%6 Apr →
ancient8–130.058%27 Mar →
mirage13–40.0519%27 Mar →
anubis9–130.0318%27 Mar →
inferno13–5-0.006%27 Mar →
inferno9–40.1710%26 Mar →
mirage2–10-0.0714%26 Mar →
train13–40.0717%26 Mar →

Match data via Leetify.

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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