Icecold

Icecold — CS2 Stats

MT76561198419850124[U:1:459584396]Steam profile ↗✓ No bans

701Tracked matches41%Win rate2021Tracked since
CSDB Rating6.5 SolidSupport
Premier CS Rating19,431Top 50% of 215,248 CSDB-tracked playersPurple band · top ~10.8% of ranked players (population est.)
CSDB Leaderboard#94844 of 261502 tracked
FaceitLevel 10 · 2,016 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 19,431 → 19,431
0Faceit ELO · 2,016 → 2,016
+7Tracked matches · now 701
0.0ppWin rate · 41.4% → 41.4%

Rating over time

Premier CS Rating: 19,431 +0 27 May – 20 Oct · 6 days played
19,43119,431peak 19,43127 May20 Oct
Faceit ELO: 2,016 +0 8 Sept – 20 Oct · 5 observations
2,0162,016peak 2,0168 Sept20 Oct
19,431Peak Premier in tracked matches
2,016Highest Faceit ELO seen on CSDB
71Days played since 2025-12-22

Faceit ELO

  • At peak — 2,016
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 484 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-08
  • Level 9 first seen 2026-09-08

Premier CS Rating

  • At peak — 19,431
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 — 569 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-08
  • Blue band first seen 2026-09-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGIcecoldFACEITLevel 10 · 2,016 ELOSTANDINGTop 12.4% of rankedPREMIER19,431 · Purple band30 DAYS0 ELOPEAK ELO2,016csdb.gg/stats

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Performance scores

Aim90
Positioning60
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLLLWLWTWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.7pp headshot accuracy · −1ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 463ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 511ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 29%
  • Avg reaction 512ms

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 (+1.8 against its own average).

Aim9.0
Utility6.7
Positioning6.0
Opening Duels3.4
Clutch3.4

Sharp aimer

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 94% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Aim9.0
Positioning6.0
Utility6.7
Mechanics7.0
Opening Duels3.4
Win Impact2.1

Composite 6.5/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time516ms−66ms
first ⅓ avg 582ms → last ⅓ avg 516ms
Headshot accuracy32.1%+4.1%
first ⅓ avg 28.0% → last ⅓ avg 32.1%

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

0.20Best match rating · 9–5 · inferno, 21 Jan →
71%Best headshot accuracy · 13–1 · inferno, 26 May →
383msFastest reaction time · 13–1 · inferno, 26 May →
13–0Biggest win · dust2, 12 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
9–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 57% over 23dust2Weakest map · 42% over 55
MapGradePlayedRecordWin rateAvg rating
dust2C5523–3242%0.01
infernoA2313–1057%0.03
ancientB84–450%-0.01
anubisA74–357%-0.00
mirage—31–233%0.04
cache—21–150%-0.01
overpass—10–10%-0.04
nuke—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 55). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

957Matches
51%Win rate
1.28Avg K/D
79.3ADR
48%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust220361%1.3517.2
Inferno13541%1.2116.6
Anubis11750%1.1617.4
Mirage7348%1.1216.4
Ancient6035%1.1015.1
Vertigo1354%1.0616.5
Nuke933%1.1717.1
Cache933%0.9612.3

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.

31.8%Headshot accuracy
34.1%Accuracy (enemy spotted)
35.9%Spray accuracy
81.7%Counter-strafing
7.8°Preaim
521msReaction time
38.1%T opening success
49.0%CT opening success
0.63Enemies flashed / flash
7.1%Flash assists
11.04HE damage / grenade
13.05Flashes / 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 38.0724% — below the 40% mark we flag

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.

42% win rate across 55 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
ancient10–13-0.0424%2 Nov →
dust23–13-0.0526%2 Nov →
dust29–130.0841%12 Oct →
dust213–11-0.0224%12 Oct →
dust27–13-0.0132%10 Oct →
dust213–11-0.0729%9 Oct →
dust212–120.0437%3 Oct →
dust213–70.1220%1 Oct →
dust28–13-0.0232%12 Sept →
dust213–20.1034%12 Sept →
dust211–13-0.0327%12 Sept →
dust213–3-0.0419%12 Sept →
dust210–130.0627%3 Sept →
dust24–13-0.0726%3 Sept →
anubis13–90.0028%2 Sept →
ancient11–13-0.0527%26 Aug →
dust26–13-0.1031%24 Aug →
inferno10–13-0.0230%22 Aug →
ancient12–160.0533%20 Aug →
dust213–70.0934%18 Aug →
inferno13–50.1032%27 May →
dust213–80.1027%27 May →
inferno9–130.0136%26 May →
anubis4–13-0.0320%26 May →
inferno13–10.0671%26 May →
dust25–13-0.0250%26 May →
dust213–100.0228%26 May →
dust26–130.0547%20 May →
anubis11–130.0135%18 May →
ancient13–10.0642%18 May →
inferno3–130.0224%17 May →
inferno9–130.0145%13 May →
cache10–130.0123%13 May →
dust213–00.2028%12 May →
anubis13–80.1027%4 May →
inferno13–100.1124%1 May →
cache13–10-0.0330%1 May →
ancient13–11-0.0623%25 Apr →
mirage13–100.0922%24 Apr →
dust211–13-0.0421%23 Apr →
dust213–90.0239%21 Apr →
dust213–30.0143%21 Apr →
dust213–70.0632%21 Apr →
dust213–2-0.0023%20 Apr →
inferno16–130.0224%18 Apr →
dust24–130.0621%18 Apr →
dust211–13-0.0621%16 Apr →
dust213–11-0.0016%15 Apr →
inferno1–130.0333%13 Apr →
inferno13–10.1327%12 Apr →
inferno3–13-0.1122%12 Apr →
anubis10–13-0.0714%11 Apr →
ancient13–60.0824%8 Apr →
inferno13–160.0428%6 Apr →
inferno13–10.0431%5 Apr →
ancient3–13-0.0433%4 Apr →
dust213–50.0626%3 Apr →
dust213–40.0224%3 Apr →
dust210–130.0232%31 Mar →
dust213–90.1043%25 Mar →
dust210–130.0241%15 Mar →
dust213–110.0724%14 Mar →
dust213–110.0531%14 Mar →
inferno13–80.0425%13 Mar →
dust212–12-0.0127%12 Mar →
dust28–2-0.0256%5 Mar →
ancient5–8-0.0640%5 Mar →
anubis13–8-0.0438%5 Mar →
inferno13–110.0325%5 Mar →
inferno13–90.0127%1 Mar →
dust27–13-0.0743%28 Feb →
inferno13–8-0.0115%27 Feb →
dust25–13-0.0816%26 Feb →
dust213–90.0126%26 Feb →
dust28–130.0116%22 Feb →
dust211–130.0335%16 Feb →
mirage4–130.0135%16 Feb →
dust25–13-0.0721%12 Feb →
dust26–130.0221%11 Feb →
dust25–130.0532%11 Feb →
anubis13–11-0.0026%6 Feb →
inferno3–9-0.0637%27 Jan →
overpass6–13-0.0418%26 Jan →
dust213–9-0.0332%21 Jan →
inferno9–50.2032%21 Jan →
inferno13–70.0636%19 Jan →
dust212–120.0143%18 Jan →
dust24–130.0353%18 Jan →
inferno14–160.0219%16 Jan →
dust211–130.0248%14 Jan →
nuke11–130.0122%9 Jan →
dust213–100.0221%8 Jan →
dust28–13-0.0128%7 Jan →
dust27–13-0.0523%4 Jan →
dust212–12-0.0229%3 Jan →
dust27–130.0434%3 Jan →
inferno9–70.0130%2 Jan →
dust25–13-0.0118%31 Dec →
mirage17–190.0217%29 Dec →
inferno10–130.018%22 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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