Ice Cube

Ice Cube — CS2 Stats

76561198316407638[U:1:356141910]Steam profile ↗✓ No bans

438Tracked matches27%Win rate2021Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating17,434Purple band · top ~18.7% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (56 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: 17,434 -1,690 15 Aug – 10 Sept · 15 days played
17,43420,061peak 20,06115 Aug10 Sept
20,371Peak Premier in tracked matches
27Days played since 2026-08-06

Premier CS Rating

  • 2,627 below peak (20,061)
  • -1,690 over 30 days · declining
  • Next: Pink band at 20,000 — 2,566 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGIce CubeFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER17,434 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning45
Utility54

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLLTWWLLLWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +2.0pp headshot accuracy · −5ms reaction

Win rate down 20pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 545ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 514ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 516ms

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 (+1.7 against its own average).

Aim7.5
Utility5.4
Positioning4.5
Opening Duels1.6
Clutch3.4

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

ZywOo

Plays most like ZywOo 90% 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

T-side openings. Opening success drops from 41% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 554ms 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
Positioning4.5
Utility5.4
Mechanics7.1
Opening Duels1.3
Win Impact0.0

Composite 5.2/10 (Developing), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time535ms−37ms
first ⅓ avg 573ms → last ⅓ avg 535ms
Headshot accuracy18.1%+0.6%
first ⅓ avg 17.5% → last ⅓ avg 18.1%

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

0.36Best match rating · 9–1 · nuke, 27 Aug →
39%Best headshot accuracy · 4–10 · inferno, 26 Aug →
375msFastest reaction time · 9–13 · inferno, 24 Aug →
13–1Biggest win · train, 15 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
5–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 64% over 11ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC3214–1844%0.02
nukeB209–1145%0.04
dust2B157–847%-0.01
cacheA117–464%0.00
ancientC73–443%-0.03
mirageC73–443%-0.00
train—33–0100%0.05
overpass—20–20%-0.05
anubis—21–150%0.01
debris—11–0100%0.22

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

348Matches
50%Win rate
1.10Avg K/D
80.5ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno5459%1.1917.4
Cache4965%1.2515.2
Dust23938%1.2116.3
Anubis3557%1.2616.2
Nuke2357%1.2417.9
Mirage2133%1.0217.2
Ancient757%1.1215.3
Vertigo10%0.8012.0

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.

19.6%Headshot accuracy
34.1%Accuracy (enemy spotted)
36.2%Spray accuracy
81.8%Counter-strafing
9.7°Preaim
554msReaction time
21.5%T opening success
40.8%CT opening success
0.62Enemies flashed / flash
5.7%Flash assists
6.62HE damage / grenade
9.29Flashes / 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. 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 21.4674% — below the 40% mark we flag

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0512%12 Sept →
nuke4–9-0.0511%11 Sept →
inferno8–80.0622%11 Sept →
nuke9–20.1612%11 Sept →
nuke9–60.0619%11 Sept →
nuke6–9-0.0029%11 Sept →
inferno4–9-0.0819%11 Sept →
inferno0–9-0.1923%11 Sept →
inferno9–20.1719%11 Sept →
dust28–13-0.0420%10 Sept →
cache6–13-0.0219%8 Sept →
cache13–60.0412%5 Sept →
inferno9–10.289%5 Sept →
inferno4–9-0.1211%5 Sept →
inferno13–100.0623%3 Sept →
inferno5–13-0.0318%3 Sept →
cache13–8-0.0120%2 Sept →
inferno9–40.1815%2 Sept →
dust29–13-0.0519%1 Sept →
nuke3–13-0.0920%1 Sept →
dust26–13-0.0318%31 Aug →
nuke9–13-0.0626%31 Aug →
inferno4–9-0.1030%31 Aug →
inferno3–9-0.079%31 Aug →
inferno9–0-0.0111%30 Aug →
nuke9–10.0711%30 Aug →
dust29–130.0127%30 Aug →
dust27–13-0.058%29 Aug →
overpass7–90.0025%27 Aug →
nuke9–10.3624%27 Aug →
nuke9–20.1725%27 Aug →
inferno9–00.2116%27 Aug →
inferno8–80.1018%27 Aug →
nuke9–00.1412%27 Aug →
inferno9–70.0121%27 Aug →
nuke8–8-0.0414%27 Aug →
nuke9–00.213%27 Aug →
overpass4–9-0.106%27 Aug →
inferno9–50.1720%27 Aug →
ancient6–13-0.090%27 Aug →
anubis8–13-0.0121%26 Aug →
inferno4–10-0.0239%26 Aug →
inferno7–13-0.0417%25 Aug →
ancient6–13-0.0514%24 Aug →
inferno9–13-0.0429%24 Aug →
mirage13–4-0.0217%24 Aug →
cache8–13-0.0432%24 Aug →
dust28–130.0731%24 Aug →
inferno11–130.0213%23 Aug →
dust213–11-0.0218%23 Aug →
ancient10–1-0.0123%23 Aug →
nuke10–130.0225%23 Aug →
dust29–130.0713%22 Aug →
mirage8–13-0.0316%22 Aug →
dust216–14-0.0123%22 Aug →
cache13–7-0.0418%22 Aug →
nuke1–13-0.0423%21 Aug →
inferno8–13-0.0316%21 Aug →
ancient13–50.0113%20 Aug →
nuke13–50.0323%20 Aug →
dust212–16-0.0611%19 Aug →
dust213–20.0427%19 Aug →
cache13–40.0822%19 Aug →
cache13–7-0.0426%19 Aug →
cache10–130.0027%19 Aug →
nuke11–13-0.0012%19 Aug →
inferno2–13-0.0430%18 Aug →
mirage13–110.0512%17 Aug →
ancient8–13-0.0418%17 Aug →
inferno13–70.0514%17 Aug →
inferno13–90.0611%16 Aug →
nuke2–4-0.0914%16 Aug →
cache13–90.0428%16 Aug →
mirage14–160.0124%16 Aug →
anubis16–120.0311%16 Aug →
dust213–70.0226%16 Aug →
mirage13–100.0012%16 Aug →
inferno6–130.0014%16 Aug →
inferno13–8-0.0113%16 Aug →
dust213–6-0.0621%16 Aug →
ancient13–30.0335%16 Aug →
nuke6–13-0.0331%16 Aug →
cache13–100.0120%15 Aug →
dust213–110.0110%15 Aug →
nuke13–70.0225%15 Aug →
inferno13–80.0119%15 Aug →
train13–60.1013%15 Aug →
train5–2-0.049%15 Aug →
train13–10.078%15 Aug →
debris9–60.2217%15 Aug →
dust213–9-0.027%15 Aug →
inferno13–50.0623%15 Aug →
mirage6–130.0110%15 Aug →
ancient1–13-0.0333%13 Aug →
mirage5–13-0.0411%10 Aug →
inferno13–70.0113%6 Aug →
cache11–13-0.0112%6 Aug →
nuke7–9-0.1025%6 Aug →
inferno3–9-0.1223%6 Aug →
inferno7–90.0816%6 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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