Icekah

Icekah — CS2 Stats

76561197976324706[U:1:16058978]Steam profile ↗✓ No bans

995Tracked matches50%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating16,194Purple band · top ~23.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (5 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: 16,194 -555 7 Aug – 15 Oct · 30 days played
13,58418,411peak 18,4117 Aug15 Oct
18,411Peak Premier in tracked matches
35Days played since 2026-07-31

Premier CS Rating

  • 2,217 below peak (18,411)
  • -635 over 30 days · declining
  • Next: Pink band at 20,000 — 3,806 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • 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.

Share this profile

CSDB.GGIcekahFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,194 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning67
Utility58

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLLWWLWLLLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −8.1pp headshot accuracy · +19ms reaction

Win rate down 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 21%
  • Avg reaction 611ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 591ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 582ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim7.5
Utility5.8
Positioning6.7
Opening Duels5.0

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 89% 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

Reaction time. 586ms 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

Aim7.5
Positioning6.7
Utility5.8
Mechanics6.8
Opening Duels6.0
Win Impact5.0

Composite 6.6/10 (Solid), 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 time582ms−47ms
first ⅓ avg 629ms → last ⅓ avg 582ms
Headshot accuracy22.5%+1.6%
first ⅓ avg 20.9% → last ⅓ avg 22.5%

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

0.27Best match rating · 13–2 · anubis, 3 Sept →
45%Best headshot accuracy · 13–4 · nuke, 3 Sept →
398msFastest reaction time · 9–13 · cache, 29 Aug →
13–1Biggest win · mirage, 30 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 56% over 9dust2Weakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
nukeB189–950%-0.00
mirageB178–947%0.01
infernoB178–947%-0.01
dust2D165–1131%0.00
anubisB126–650%0.03
cacheB115–645%0.00
ancientA95–456%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,264Matches
50%Win rate
1.17Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLW

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.

22.3%Headshot accuracy
32.6%Accuracy (enemy spotted)
34.9%Spray accuracy
80.6%Counter-strafing
8.5°Preaim
586msReaction time
57.2%T opening success
50.9%CT opening success
0.69Enemies flashed / flash
8.3%Flash assists
11.83HE damage / grenade
5.46Flashes / match

Recommended for you

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.

31% win rate across 16 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
anubis10–13-0.0515%15 Oct →
anubis10–130.0422%13 Oct →
nuke13–80.0229%13 Oct →
anubis13–30.0115%13 Oct →
mirage2–13-0.0525%11 Oct →
nuke13–80.0124%11 Oct →
ancient10–13-0.0615%11 Oct →
inferno9–13-0.0611%9 Oct →
inferno5–13-0.078%9 Oct →
nuke1–13-0.0617%9 Oct →
dust213–7-0.0224%9 Oct →
anubis6–13-0.0412%3 Oct →
cache16–14-0.0222%3 Oct →
mirage9–13-0.0026%3 Oct →
cache11–13-0.0238%3 Oct →
inferno9–130.0134%3 Oct →
inferno13–4-0.0127%30 Sept →
nuke13–90.0216%30 Sept →
mirage13–50.0431%30 Sept →
dust213–100.0231%29 Sept →
dust213–80.1030%29 Sept →
anubis13–10-0.0020%27 Sept →
mirage15–150.0627%27 Sept →
ancient9–13-0.0619%24 Sept →
nuke11–13-0.0521%24 Sept →
ancient13–9-0.0215%22 Sept →
dust27–13-0.0323%22 Sept →
anubis15–150.0620%20 Sept →
mirage13–110.0333%12 Sept →
inferno13–110.0015%12 Sept →
nuke2–13-0.0733%12 Sept →
dust27–13-0.0330%12 Sept →
inferno13–8-0.0216%12 Sept →
inferno16–13-0.0517%8 Sept →
nuke13–90.0621%8 Sept →
inferno8–130.0116%7 Sept →
dust28–130.0020%7 Sept →
nuke13–9-0.0114%6 Sept →
anubis13–50.0822%6 Sept →
anubis13–3-0.0421%4 Sept →
mirage10–13-0.0535%4 Sept →
ancient13–80.0418%4 Sept →
nuke13–40.0545%3 Sept →
inferno13–8-0.0323%3 Sept →
anubis13–20.2728%3 Sept →
mirage9–13-0.0312%3 Sept →
inferno13–50.0420%2 Sept →
mirage13–9-0.0224%2 Sept →
dust210–130.0427%2 Sept →
nuke13–80.0413%1 Sept →
ancient13–90.0230%1 Sept →
cache11–130.0130%1 Sept →
ancient7–13-0.0525%1 Sept →
mirage5–130.0719%30 Aug →
mirage9–13-0.0018%30 Aug →
mirage13–1-0.0212%30 Aug →
cache9–13-0.0322%29 Aug →
mirage8–13-0.0713%29 Aug →
dust213–90.0025%29 Aug →
ancient13–80.0411%29 Aug →
nuke9–13-0.0519%28 Aug →
inferno13–8-0.0715%28 Aug →
nuke3–13-0.0320%28 Aug →
dust29–13-0.0113%28 Aug →
dust27–13-0.0714%28 Aug →
inferno14–16-0.0613%27 Aug →
dust213–90.0522%27 Aug →
inferno8–13-0.0123%22 Aug →
mirage6–13-0.0028%22 Aug →
dust25–13-0.0121%22 Aug →
dust29–13-0.085%16 Aug →
cache13–30.0231%16 Aug →
inferno13–20.1124%16 Aug →
ancient2–13-0.1133%16 Aug →
nuke13–100.0840%16 Aug →
nuke8–13-0.0411%15 Aug →
inferno14–16-0.0420%15 Aug →
nuke4–13-0.0217%15 Aug →
dust28–130.0421%15 Aug →
mirage13–60.0210%12 Aug →
anubis5–13-0.0413%12 Aug →
cache5–130.0033%11 Aug →
dust210–13-0.0121%8 Aug →
ancient13–50.0424%8 Aug →
cache14–16-0.0518%8 Aug →
cache13–11-0.037%7 Aug →
nuke16–14-0.0133%7 Aug →
anubis9–13-0.0233%7 Aug →
cache13–60.0420%6 Aug →
mirage13–10.0312%6 Aug →
mirage13–70.068%4 Aug →
dust22–4-0.0023%4 Aug →
inferno11–130.0212%3 Aug →
nuke15–150.0329%3 Aug →
inferno10–13-0.0111%1 Aug →
nuke3–130.0121%1 Aug →
anubis13–80.0717%1 Aug →
cache7–13-0.0512%1 Aug →
cache13–10.1629%1 Aug →
mirage13–30.1031%31 Jul →

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 →

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