ICE OFFICER

ICE OFFICER — CS2 Stats

VI76561198983862224[U:1:1023596496]Steam profile ↗✓ No bans

1,397Tracked matches36%Win rate2023Tracked since
646Hours in CS
CSDB Rating3.9 LearningClutch Specialist
Premier CS Rating2,954Grey band · top ~87.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (15 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: 2,954 -4,004 18 Dec – 21 Oct · 29 days played
2,5977,630peak 7,63018 Dec21 Oct
7,992Peak Premier in tracked matches
50Days played since 2025-12-18

Premier CS Rating

  • 4,676 below peak (7,630)
  • -450 over 30 days · declining
  • Next: Light Blue band at 5,000 — 2,046 to go
  • Reached: Light 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 Level 3 among CSDB-tracked players (n=10,505), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate38.6%41.8%42.7%4.2% short
Shot accuracy1.9%12.2%11.2%9.3% short
Kill/death ratio0.820.980.990.17 short
Match win rate40.5%43.3%43.9%3.4% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGICE OFFICERFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER2,954 · Grey 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

Aim55
Positioning49
Utility37

0–100 skill scores via Leetify.

Recent form

COLD32–65–3Last 10032%Win rateLLTLLLWLLW

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −1.0pp headshot accuracy · −73ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 552ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 561ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 598ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5 against its own average).

Aim5.5
Utility3.7
Positioning4.9
Opening Duels1.4
Clutch10.0

Reliable in 1v1s

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

iM

Plays most like iM 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 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

Aim5.5
Positioning4.9
Utility3.7
Mechanics6.1
Opening Duels2.2
Win Impact0.2

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time630ms−56ms
first ⅓ avg 686ms → last ⅓ avg 630ms
Headshot accuracy13.4%−1.5%
first ⅓ avg 14.9% → last ⅓ avg 13.4%

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

0.13Best match rating · 13–7 · mirage, 12 Apr →
100%Best headshot accuracy · 2–0 · inferno, 27 Dec →
406msFastest reaction time · 2–0 · inferno, 27 Dec →
13–1Biggest win · overpass, 22 Dec →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
5–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 43% over 7infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageD278–1930%-0.00
nukeD175–1229%-0.01
infernoD164–1225%-0.02
vertigoC125–742%0.00
ancientD93–633%-0.03
dust2C73–443%-0.02
office—40–40%-0.00
overpass—32–167%0.02
cache—21–150%-0.01
anubis—21–150%-0.05
train—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,706Lifetime kills
0.82K/D
1,920Matches
40.5%Match win rate
38.6%Headshot %
1.9%Shot accuracy
3,284MVPs
646Hours (in match)
1,751Bombs planted
520Bombs defused

Most-used weapons

Lifetime map wins

3,864nuke
2,916vertigo
1,598inferno
1,011office
640dust2
119train
8safehouse
7ar_shoots

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

Faceit stats

Combat

17Matches
29%Win rate
0.72Avg K/D
59.7ADR
40%Headshot %

Clutches & streaks

83%1v1 clutch win
9%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage617%0.547.3
Anubis450%1.0011.3
Vertigo367%0.6711.0
Nuke30%0.6916.3
Ancient10%0.9313.0

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.

12.6%Headshot accuracy
35.6%Accuracy (enemy spotted)
32.0%Spray accuracy
77.3%Counter-strafing
10.2°Preaim
615msReaction time
44.4%T opening success
33.5%CT opening success
0.48Enemies flashed / flash
3.3%Flash assists
9.95HE damage / grenade
5.97Flashes / 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 12.6333% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4794 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.458% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0914%21 Oct →
mirage10–13-0.0810%21 Oct →
ancient15–150.0010%21 Oct →
mirage11–13-0.0314%21 Oct →
cache8–13-0.0421%19 Oct →
vertigo2–13-0.076%26 Sept →
vertigo13–90.026%26 Sept →
office5–7-0.0815%26 Sept →
vertigo4–130.0311%26 Sept →
vertigo13–100.0820%20 Sept →
vertigo13–20.0315%19 Sept →
vertigo8–130.018%13 Sept →
nuke13–50.0413%13 Sept →
mirage13–110.0423%11 Sept →
nuke1–80.0220%5 Sept →
vertigo13–70.0611%5 Sept →
nuke11–130.0011%4 Sept →
mirage15–15-0.029%29 Aug →
office8–130.0413%15 Aug →
vertigo11–13-0.0317%2 Aug →
nuke1–13-0.0543%30 Jul →
nuke13–60.0216%30 Jul →
mirage1–13-0.098%26 Jul →
ancient13–10-0.0411%1 Jul →
mirage13–6-0.030%1 Jul →
nuke11–13-0.029%30 Jun →
inferno8–13-0.053%28 Jun →
mirage7–13-0.0216%28 Jun →
ancient5–13-0.039%21 May →
cache13–60.0214%21 May →
inferno6–13-0.0224%8 May →
ancient13–11-0.0213%18 Apr →
ancient14–160.0613%18 Apr →
office9–13-0.0310%15 Apr →
anubis3–13-0.069%15 Apr →
mirage13–70.1316%12 Apr →
nuke13–50.0713%5 Apr →
mirage11–130.0313%21 Mar →
mirage8–130.0412%21 Mar →
nuke13–3-0.0317%21 Mar →
mirage13–70.0210%21 Mar →
inferno7–13-0.0716%14 Mar →
dust22–7-0.0933%28 Feb →
nuke4–13-0.038%28 Feb →
inferno7–13-0.0615%28 Feb →
mirage13–80.018%28 Feb →
mirage13–160.0419%27 Feb →
inferno5–13-0.049%21 Feb →
vertigo11–130.0415%15 Feb →
inferno8–13-0.0311%15 Feb →
mirage10–130.0314%14 Feb →
nuke6–13-0.018%13 Feb →
anubis13–7-0.0412%13 Feb →
mirage2–13-0.0124%8 Feb →
vertigo4–13-0.0319%31 Jan →
dust213–90.0710%30 Jan →
inferno13–90.0410%30 Jan →
inferno16–12-0.0216%18 Jan →
nuke1–13-0.0712%16 Jan →
mirage3–13-0.0213%16 Jan →
vertigo13–8-0.0224%4 Jan →
office12–120.0612%4 Jan →
dust213–9-0.0317%3 Jan →
train7–13-0.049%2 Jan →
nuke14–160.0211%2 Jan →
nuke7–13-0.0112%2 Jan →
mirage13–100.0119%30 Dec →
ancient6–13-0.096%30 Dec →
mirage4–13-0.026%29 Dec →
mirage13–100.0112%28 Dec →
inferno1–13-0.098%28 Dec →
overpass4–130.0115%28 Dec →
mirage9–13-0.038%28 Dec →
vertigo4–13-0.055%27 Dec →
mirage9–130.0114%27 Dec →
inferno2–00.07100%27 Dec →
mirage7–130.029%27 Dec →
inferno3–13-0.0640%26 Dec →
mirage13–100.0212%26 Dec →
dust27–13-0.088%26 Dec →
dust27–130.0112%25 Dec →
nuke10–130.0811%25 Dec →
inferno5–13-0.0110%23 Dec →
inferno10–13-0.070%22 Dec →
dust27–13-0.0515%22 Dec →
mirage5–13-0.0214%22 Dec →
overpass13–10.067%22 Dec →
mirage2–13-0.0410%22 Dec →
ancient4–13-0.0213%22 Dec →
nuke5–13-0.0213%22 Dec →
nuke13–11-0.067%22 Dec →
inferno10–13-0.055%20 Dec →
ancient13–11-0.055%20 Dec →
mirage2–13-0.0421%19 Dec →
dust213–10.0219%19 Dec →
overpass13–5-0.0112%19 Dec →
inferno3–130.0020%19 Dec →
ancient10–13-0.0911%18 Dec →
inferno13–50.0724%18 Dec →
mirage12–16-0.0821%18 Dec →

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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