ICEMAN

ICEMAN — CS2 Stats

76561198126202912[U:1:165937184]Steam profile ↗✓ No bans

458Tracked matches47%Win rate2025Tracked since
CSDB Rating4.0 DevelopingSupport
Premier CS Rating11,943Blue band · top ~44.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (3 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: 11,943 +3,340 31 Jul – 29 Sept · 26 days played
8,60312,473peak 12,47331 Jul29 Sept
12,473Peak Premier in tracked matches
33Days played since 2026-07-29

Premier CS Rating

  • 530 below peak (12,473)
  • +231 over 30 days · steady
  • Next: Purple band at 15,000 — 3,057 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light 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.

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CSDB.GGICEMANPREMIER11,943 · Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning50
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLLWLWWLLWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +2.1pp headshot accuracy · −2ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 520ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 556ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 557ms

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 against its own average).

Aim4.1
Utility5.2
Positioning5.0
Opening Duels1.5
Clutch5.0

Effective flashesLimited 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

NiKo

Plays most like NiKo 67% 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. 559ms 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

Aim4.1
Positioning5.0
Utility5.2
Mechanics4.5
Opening Duels1.7
Win Impact3.9

Composite 4.0/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time566ms−31ms
first ⅓ avg 597ms → last ⅓ avg 566ms
Headshot accuracy10.2%+0.5%
first ⅓ avg 9.8% → last ⅓ avg 10.2%

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

0.18Best match rating · 13–0 · dust2, 27 Sept →
26%Best headshot accuracy · 13–0 · dust2, 21 Aug →
422msFastest reaction time · 9–13 · inferno, 29 Sept →
13–0Biggest win · dust2, 27 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 73% over 11nukeWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B4018–2245%0.00
mirageC166–1038%0.00
infernoB126–650%-0.00
nukeD124–833%-0.00
ancientS118–373%-0.01
cacheB63–350%-0.01
anubis—31–233%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

43Matches
53%Win rate
1.01Avg K/D
77.8ADR
33%Headshot %

Clutches & streaks

45%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21753%1.0513.1
Inferno757%1.0013.3
Nuke667%1.4017.5
Ancient560%0.8713.0
Mirage520%0.619.4
Anubis10%0.6111.0
Overpass1100%1.0617.0
Cache1100%0.9416.0

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.

10.6%Headshot accuracy
29.8%Accuracy (enemy spotted)
30.9%Spray accuracy
70.2%Counter-strafing
10.2°Preaim
559msReaction time
38.1%T opening success
35.3%CT opening success
0.73Enemies flashed / flash
10.5%Flash assists
8.87HE damage / grenade
4.34Flashes / 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 10.6068% — below the 15% mark we flag

    Aim Training →
  2. 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 38.1444% — below the 40% mark we flag

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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0411%30 Sept →
inferno9–13-0.0324%29 Sept →
dust213–3-0.016%29 Sept →
dust29–13-0.0216%29 Sept →
cache13–100.038%28 Sept →
ancient13–70.046%28 Sept →
dust26–13-0.0213%28 Sept →
dust210–130.1114%28 Sept →
dust213–9-0.0210%27 Sept →
dust213–00.188%27 Sept →
dust213–60.0513%3 Sept →
mirage11–130.049%3 Sept →
dust27–130.0216%1 Sept →
mirage11–130.017%31 Aug →
dust26–13-0.016%29 Aug →
dust213–110.053%29 Aug →
ancient13–110.0114%29 Aug →
ancient13–8-0.079%27 Aug →
inferno9–13-0.0215%27 Aug →
nuke13–7-0.014%26 Aug →
ancient6–13-0.0610%26 Aug →
ancient10–50.0611%26 Aug →
mirage13–9-0.0114%26 Aug →
nuke16–13-0.019%25 Aug →
cache5–13-0.0510%25 Aug →
dust29–13-0.098%24 Aug →
mirage11–130.0413%24 Aug →
ancient13–40.012%24 Aug →
dust27–13-0.0719%24 Aug →
dust29–13-0.018%24 Aug →
nuke7–13-0.056%22 Aug →
dust27–13-0.017%22 Aug →
ancient7–13-0.0810%22 Aug →
mirage14–16-0.0210%22 Aug →
dust213–4-0.0317%22 Aug →
dust213–60.049%22 Aug →
inferno13–9-0.0511%22 Aug →
dust213–8-0.015%22 Aug →
dust213–00.0526%21 Aug →
ancient13–9-0.054%21 Aug →
dust215–15-0.026%21 Aug →
cache11–130.0112%21 Aug →
inferno16–140.038%21 Aug →
ancient4–130.035%20 Aug →
nuke7–13-0.0517%20 Aug →
anubis14–160.065%20 Aug →
nuke13–10-0.0313%20 Aug →
mirage7–13-0.0818%19 Aug →
dust24–13-0.1013%19 Aug →
cache13–5-0.0117%19 Aug →
inferno13–7-0.026%19 Aug →
dust213–10-0.0426%17 Aug →
inferno9–130.038%17 Aug →
ancient13–6-0.023%17 Aug →
dust211–13-0.047%17 Aug →
dust213–60.0016%17 Aug →
nuke5–13-0.022%17 Aug →
nuke8–130.0410%17 Aug →
dust213–11-0.027%16 Aug →
ancient13–60.0314%16 Aug →
inferno6–130.0113%16 Aug →
mirage10–13-0.0217%15 Aug →
nuke13–100.088%13 Aug →
inferno13–90.028%12 Aug →
cache8–13-0.055%12 Aug →
inferno9–13-0.0615%12 Aug →
mirage4–13-0.0215%12 Aug →
dust213–40.026%12 Aug →
dust213–6-0.0510%12 Aug →
mirage13–100.0010%11 Aug →
mirage13–100.0113%10 Aug →
inferno2–13-0.0111%10 Aug →
dust213–40.029%10 Aug →
mirage3–13-0.027%9 Aug →
mirage13–30.1018%8 Aug →
inferno13–20.0113%8 Aug →
dust211–130.006%8 Aug →
nuke7–130.0110%8 Aug →
dust25–130.016%8 Aug →
nuke7–130.028%8 Aug →
dust24–130.0114%7 Aug →
dust211–130.0410%5 Aug →
mirage4–13-0.0511%4 Aug →
mirage16–130.074%4 Aug →
dust20–4-0.060%4 Aug →
anubis8–13-0.009%4 Aug →
mirage13–60.049%4 Aug →
nuke5–13-0.028%4 Aug →
dust213–10-0.049%3 Aug →
dust213–100.0014%3 Aug →
dust211–13-0.015%3 Aug →
dust213–110.0210%3 Aug →
anubis13–70.0511%3 Aug →
nuke10–13-0.027%3 Aug →
mirage1–13-0.0713%3 Aug →
dust28–130.028%2 Aug →
cache13–70.048%1 Aug →
inferno13–90.076%31 Jul →
dust212–120.1724%29 Jul →
dust24–13-0.0315%29 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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