ICE COLD HEEEEEM

ICE COLD HEEEEEM — CS2 Stats

FM76561198866849997[U:1:906584269]Steam profile ↗✓ No bans

998Tracked matches46%Win rate2021Tracked since
1,514Hours in CS5Hrs last 2 wks
CSDB Rating5.8 SolidOpening Duellist
Premier CS Rating20,104Top 50% of 215,386 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#82861 of 261567 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 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: 20,104 +592 12 Aug – 25 Oct · 23 days played
19,33320,652peak 20,65212 Aug25 Oct
20,652Peak Premier in tracked matches
50Days played since 2026-07-24

Premier CS Rating

  • 548 below peak (20,652)
  • -471 over 30 days · declining
  • Next: Red band at 25,000 — 4,896 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches2331−8
Win rate43%42%+2pp
K/D1.101.11−0.01
Headshot %58%50%+8pp

Measured 14 Oct 2026 → 14 Nov 2026; previous 17 Sep 2026 → 14 Oct 2026.

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate49.8%46.9%49.3%meets
Shot accuracy2.5%13.0%13.4%10.8% short
Kill/death ratio1.111.081.12meets
Match win rate46.2%46.7%48.5%2.3% short

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

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

Share this profile

CSDB.GGICE COLD HEEEEEMPREMIER20,104 · Pink bandcsdb.gg/stats

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Performance scores

Aim67
Positioning68
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateTWWWLTLLWT

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.2pp headshot accuracy · −22ms reaction

Win rate 0pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 577ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 607ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 618ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2.1 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim6.7
Utility1.5
Positioning6.8
Opening Duels7.3

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

s1mple

Plays most like s1mple 64% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

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. 615ms 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

Aim6.7
Positioning6.8
Utility1.5
Mechanics6.2
Opening Duels8.2
Win Impact3.7

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time622ms+15ms
first ⅓ avg 606ms → last ⅓ avg 622ms
Headshot accuracy24.2%−0.6%
first ⅓ avg 24.8% → last ⅓ avg 24.2%

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

0.15Best match rating · 15–15 · ancient, 30 Jul →
48%Best headshot accuracy · 13–5 · dust2, 4 Nov →
406msFastest reaction time · 13–2 · inferno, 10 Nov →
13–1Biggest win · nuke, 11 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 73% over 11nukeWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C229–1341%0.02
ancientC177–1041%0.02
cacheC166–1038%0.02
nukeD134–931%0.02
infernoS118–373%0.03
anubisS64–267%0.04
mirageB63–350%0.02
officeC52–340%0.06
overpass—21–150%0.06
vertigo—22–0100%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,878Lifetime kills
1.11K/D · Top 50% of Pink band
1,862Matches
46.2%Match win rate
49.8%Headshot % · Top 50% of Pink band
2.5%Shot accuracy
5,031MVPs
1,043Hours (in match)
1,881Bombs planted
537Bombs defused

Most-used weapons

Lifetime map wins

4,282dust2
1,917inferno
1,742nuke
1,047office
893vertigo
639train
207italy
41cbble

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.

24.1%Headshot accuracy
32.7%Accuracy (enemy spotted)
34.0%Spray accuracy
78.1%Counter-strafing
10.2°Preaim
615msReaction time
66.8%T opening success
58.6%CT opening success
0.20Enemies flashed / flash
3.9%Flash assists
11.33HE damage / grenade
1.39Flashes / 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 0.201 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient12–120.0523%10 Nov →
inferno13–20.0638%10 Nov →
inferno13–9-0.0423%4 Nov →
dust213–50.0348%4 Nov →
dust210–13-0.0418%2 Nov →
cache12–120.0117%2 Nov →
dust29–130.0215%30 Oct →
inferno11–130.0424%27 Oct →
anubis13–90.0220%25 Oct →
office12–12-0.0320%24 Oct →
nuke4–13-0.0429%24 Oct →
office11–130.0220%23 Oct →
inferno8–130.0346%21 Oct →
nuke13–70.0535%21 Oct →
inferno13–50.0635%20 Oct →
ancient13–90.0521%20 Oct →
cache8–13-0.0115%19 Oct →
cache14–16-0.0221%17 Oct →
cache7–130.0530%15 Oct →
anubis13–70.1025%15 Oct →
dust28–130.0327%13 Oct →
dust213–110.0727%9 Oct →
dust27–13-0.0316%7 Oct →
office7–130.0618%4 Oct →
nuke5–13-0.0130%4 Oct →
mirage13–11-0.0118%3 Oct →
ancient13–100.0110%3 Oct →
nuke12–120.0130%2 Oct →
ancient4–130.008%2 Oct →
dust213–30.0532%2 Oct →
office13–30.1313%25 Sept →
overpass5–130.0617%25 Sept →
cache1–13-0.0431%23 Sept →
ancient13–7-0.0214%23 Sept →
cache1–13-0.0815%23 Sept →
mirage13–80.0410%21 Sept →
ancient8–13-0.0429%21 Sept →
inferno13–30.0516%21 Sept →
nuke4–130.0426%18 Sept →
ancient6–130.0015%18 Sept →
dust24–13-0.0527%18 Sept →
ancient11–13-0.0220%15 Sept →
nuke1–130.0319%13 Sept →
nuke13–10.0437%11 Sept →
dust212–120.0515%11 Sept →
cache13–100.1418%10 Sept →
dust212–120.1222%10 Sept →
mirage4–130.0521%10 Sept →
cache8–130.0424%8 Sept →
dust210–130.0013%8 Sept →
ancient12–120.0323%8 Sept →
ancient13–40.0724%8 Sept →
nuke10–13-0.0015%6 Sept →
dust22–12-0.0324%3 Sept →
ancient13–60.0519%2 Sept →
mirage11–13-0.0114%2 Sept →
cache1–13-0.0815%29 Aug →
nuke7–130.0328%28 Aug →
ancient5–13-0.0122%28 Aug →
dust213–100.0329%28 Aug →
anubis15–15-0.0118%26 Aug →
cache4–130.0522%26 Aug →
nuke11–13-0.0626%26 Aug →
dust213–80.1020%25 Aug →
inferno13–70.1033%25 Aug →
ancient13–50.0128%25 Aug →
anubis14–160.0721%25 Aug →
dust210–3-0.0430%25 Aug →
anubis13–80.0129%24 Aug →
vertigo13–80.1040%22 Aug →
inferno13–60.0326%21 Aug →
dust23–130.0330%20 Aug →
mirage11–13-0.0110%17 Aug →
vertigo13–10-0.0118%17 Aug →
nuke13–40.1026%17 Aug →
cache13–60.0535%15 Aug →
dust213–8-0.0134%13 Aug →
ancient15–150.0115%13 Aug →
inferno13–60.0715%13 Aug →
nuke13–160.0127%13 Aug →
dust25–130.0221%13 Aug →
anubis13–110.0521%12 Aug →
inferno13–11-0.0115%11 Aug →
mirage13–50.0430%11 Aug →
dust213–30.0320%8 Aug →
inferno10–13-0.0133%8 Aug →
dust210–13-0.0014%3 Aug →
cache13–110.0320%3 Aug →
cache13–10-0.0223%2 Aug →
ancient8–130.0212%2 Aug →
ancient13–80.0124%2 Aug →
cache13–50.0822%30 Jul →
dust213–160.0113%30 Jul →
ancient15–150.1520%30 Jul →
nuke13–80.0831%25 Jul →
office13–10.1429%25 Jul →
overpass13–80.0528%25 Jul →
dust213–40.0338%25 Jul →
cache13–110.0335%24 Jul →
cache7–130.1432%24 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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