IceECubeD

IceECubeD — CS2 Stats

76561198202451692[U:1:242185964]Steam profile ↗✓ No bans

1,768Tracked matches54%Win rate2020Tracked since
9,755Hours in CS
CSDB Rating6.9 SolidPositional Player
Premier CS Rating26,961Top 5% of 213,211 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)
CSDB Leaderboard#6702 of 259854 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (20 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: 26,961 +333 9 Sept – 15 Oct · 3 days played
26,53626,961peak 26,9619 Sept15 Oct
26,961Peak Premier in tracked matches
24Days played since 2026-08-22

Premier CS Rating

  • At peak — 26,961
  • +333 over 30 days · steady
  • Next: Gold band at 30,000 — 3,039 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate16.8%49.3%50.9%34.1% short
Shot accuracy19.5%13.4%11.8%above
Kill/death ratio1.751.121.18above
Match win rate41.3%48.5%51.9%10.6% short

This profile matches the typical Gold band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGIceECubeDPREMIER26,961 · Red 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

Aim83
Positioning67
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY45–44–11Last 10045%Win rateWWWLLWTTWT

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · +1.4pp headshot accuracy · +49ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 17%
  • Avg reaction 627ms

Last 10

  • 5–2–3 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 591ms

Last 20

  • 9–7–4 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

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 (+2.3 against its own average).

Aim8.3
Utility4.0
Positioning6.7
Opening Duels3.9
Clutch3.0

Limited utility dependence

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

donk

Plays most like donk 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 561ms 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

Aim8.3
Positioning6.7
Utility4.0
Mechanics6.6
Opening Duels5.6
Win Impact6.3

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time565ms+32ms
first ⅓ avg 533ms → last ⅓ avg 565ms
Headshot accuracy16.3%+1.2%
first ⅓ avg 15.1% → last ⅓ avg 16.3%

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

0.18Best match rating · 9–2 · eldorado, 3 Oct →
40%Best headshot accuracy · 6–9 · debris, 15 Oct →
344msFastest reaction time · 0–13 · vertigo, 6 Sept →
13–1Biggest win · boulder, 29 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
7–9In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 80% over 5ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
boulderC146–843%0.05
cacheD133–1023%0.01
fachwerkB137–654%0.04
officeS86–275%0.04
anubisB63–350%0.04
dust2S54–180%0.01
infernoC52–340%-0.05
ancientD51–420%0.01
overpass—41–325%0.05
vertigo—41–325%-0.02
nuke—41–325%0.02
debris—43–175%0.06
mirage—42–250%-0.00
shelter—42–250%0.02
train—32–167%0.04
eldorado—21–150%0.15
italy—10–10%0.01
poseidon—10–10%-0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

1,752,447Lifetime kills
1.75K/D · Top 5% of Red band
13,026Matches
41.3%Match win rate
16.8%Headshot %
19.5%Shot accuracy · Top 10% of Red band
32,262MVPs
9,755Hours (in match)
5,390Bombs planted
3,279Bombs defused

Most-used weapons

AWP389,644
Knife343,101
AK-47241,939
P25026,106
Glock-1825,996
MP96,938
FAMAS6,543

Lifetime map wins

10,697dust2
6,300inferno
5,734nuke
2,937office
2,750cbble
2,716vertigo
2,181train
1,492italy

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

Faceit stats

Combat

455Matches
54%Win rate
1.18Avg K/D
93.4ADR
34%Headshot %

Clutches & streaks

35%1v1 clutch win
33%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage850%1.0418.3
Anubis757%1.2015.9
Nuke6100%1.6820.2
Dust2650%1.0615.8
Ancient475%1.4622.0
Inferno475%1.3819.3
Overpass2100%1.7020.0
Vertigo2100%1.0417.5

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.

15.7%Headshot accuracy
41.8%Accuracy (enemy spotted)
45.8%Spray accuracy
79.7%Counter-strafing
9.9°Preaim
561msReaction time
56.3%T opening success
48.6%CT opening success
0.43Enemies flashed / flash
3.2%Flash assists
11.27HE damage / grenade
4.04Flashes / 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 0.4258 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–60.1514%3 Nov →
boulder13–40.1220%3 Nov →
cache13–20.1016%3 Nov →
overpass7–13-0.0324%3 Nov →
italy11–130.0110%2 Nov →
fachwerk13–40.0633%2 Nov →
office12–120.0111%2 Nov →
cache12–12-0.0221%2 Nov →
cache13–70.0311%2 Nov →
cache12–120.0617%25 Oct →
cache3–13-0.0522%25 Oct →
cache3–13-0.0415%25 Oct →
vertigo13–100.0422%19 Oct →
boulder13–70.0315%19 Oct →
overpass9–130.0713%19 Oct →
fachwerk12–120.0120%19 Oct →
cache0–13-0.107%19 Oct →
fachwerk13–7-0.0021%16 Oct →
fachwerk13–50.0222%16 Oct →
vertigo3–13-0.038%15 Oct →
nuke6–130.0312%15 Oct →
train13–90.0615%15 Oct →
dust213–50.0613%15 Oct →
debris9–40.1210%15 Oct →
debris6–90.0440%15 Oct →
anubis13–70.0614%4 Oct →
nuke11–130.0420%4 Oct →
anubis13–70.0811%3 Oct →
mirage11–13-0.047%3 Oct →
debris9–70.0912%3 Oct →
inferno13–9-0.029%3 Oct →
eldorado9–20.1817%3 Oct →
ancient4–13-0.0617%27 Sept →
boulder9–13-0.0315%23 Sept →
ancient13–20.1011%23 Sept →
train13–80.059%23 Sept →
office13–10-0.070%23 Sept →
train11–13-0.0025%16 Sept →
fachwerk11–130.029%15 Sept →
boulder12–120.0113%15 Sept →
anubis8–130.0612%14 Sept →
cache13–20.0810%14 Sept →
vertigo3–13-0.0121%14 Sept →
mirage13–30.0216%9 Sept →
anubis9–130.0218%9 Sept →
office13–30.078%9 Sept →
dust213–90.0211%9 Sept →
ancient11–13-0.038%7 Sept →
office13–60.0926%7 Sept →
cache12–120.0013%7 Sept →
inferno8–130.0120%7 Sept →
vertigo0–13-0.070%6 Sept →
dust212–12-0.0631%6 Sept →
inferno4–9-0.1511%6 Sept →
ancient8–130.0320%4 Sept →
boulder11–130.0510%4 Sept →
office13–60.0827%4 Sept →
fachwerk10–130.0716%4 Sept →
cache10–130.0421%2 Sept →
mirage10–130.0015%2 Sept →
dust213–6-0.0213%2 Sept →
office13–70.0620%2 Sept →
fachwerk13–50.0119%30 Aug →
boulder7–130.015%30 Aug →
boulder3–130.0412%30 Aug →
office12–120.0114%30 Aug →
inferno13–110.0114%30 Aug →
boulder13–80.1120%30 Aug →
boulder13–10.099%29 Aug →
fachwerk13–20.0816%29 Aug →
boulder13–110.1512%29 Aug →
anubis9–13-0.0510%29 Aug →
nuke4–20.098%29 Aug →
mirage13–4-0.0015%29 Aug →
dust213–70.0327%29 Aug →
overpass8–13-0.0112%29 Aug →
shelter13–80.0416%29 Aug →
office13–110.0515%29 Aug →
cache8–13-0.0020%29 Aug →
fachwerk13–110.0215%28 Aug →
cache4–13-0.0215%28 Aug →
boulder10–130.139%28 Aug →
shelter11–130.0011%28 Aug →
fachwerk13–100.0713%28 Aug →
boulder2–13-0.0116%28 Aug →
fachwerk12–120.0722%28 Aug →
fachwerk7–13-0.0230%26 Aug →
cache7–130.0013%26 Aug →
fachwerk2–100.0620%26 Aug →
boulder13–110.019%26 Aug →
eldorado8–80.1211%24 Aug →
debris9–3-0.016%24 Aug →
poseidon7–9-0.1117%24 Aug →
boulder12–12-0.0110%24 Aug →
shelter13–30.0216%24 Aug →
anubis13–100.079%24 Aug →
inferno3–9-0.1224%24 Aug →
shelter10–130.0317%22 Aug →
nuke3–13-0.078%22 Aug →
ancient8–13-0.0126%22 Aug →

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 →

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