IceyWifey

IceyWifey — CS2 Stats

US76561199741374648[U:1:1781108920]Steam profile ↗✓ No bans

1,730Tracked matches50%Win rate2024Tracked since
1,263Hours in CS25Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating16,305Purple band · top ~23.2% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 29 days played since 14 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,305 +3,262 14 Aug18 Sept · 16 days played
13,04216,305peak 16,30514 Aug18 Sept
16,305Peak Premier in tracked matches
29Days played since 2026-08-14

Premier CS Rating

  • At peak — 16,305
  • +3,248 over 30 days · improving
  • Next: Pink band at 20,000 3,695 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=35,214), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.2%44.3%47.0%5.8% short
Shot accuracy0.0%11.8%13.0%13.0% short
Kill/death ratio0.941.031.080.15 short
Match win rate52.8%45.2%46.7%above

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

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CSDB.GGIceyWifeyPREMIER16,305 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning66
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY484012Last 10048%Win rateLLLWWLLWLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +4.0pp headshot accuracy · −24ms 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

  • 23 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 533ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 559ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 571ms

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: Positional PlayerPositioning stands above the rest of this profile (+2.9 against its own average).

Aim7.5
Utility2.3
Positioning6.6
Opening Duels6.0
Clutch0.0

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 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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. 567ms 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
Positioning6.6
Utility2.3
Mechanics6.4
Opening Duels6.4
Win Impact5.0

Composite 6.0/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time567ms−12ms
first ⅓ avg 579ms → last ⅓ avg 567ms
Headshot accuracy18.6%+4.2%
first ⅓ avg 14.4% → last ⅓ avg 18.6%

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

0.19Best match rating · 13–10 · dust2, 28 Aug
60%Best headshot accuracy · 9–3 · office, 9 Sept
398msFastest reaction time · 9–13 · dust2, 17 Sept
13–1Biggest win · dust2, 16 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
34In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 71% over 7ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B53252847%0.01
mirageB137654%0.03
nukeC125742%0.00
officeS75271%0.01
ancientD62433%0.02
anubis220100%0.01
cache2020%-0.05
vertigo21150%-0.00
inferno21150%-0.02
train1010%-0.01

Across the last 100 tracked matches.

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

Lifetime stats

20,229Lifetime kills
0.94K/D
1,416Matches
52.8%Match win rate · Top 10% of Purple band
41.2%Headshot %
0.0%Shot accuracy
2,791MVPs
491Hours (in match)
2,144Bombs planted
364Bombs defused

Most-used weapons

Lifetime map wins

8,774dust2
1,575nuke
571vertigo
565inferno
293office
270train
36italy

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

Faceit stats

Combat

2Matches
50%Win rate
0.88Avg K/D
71.7ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.6312.0
Dust21100%1.1416.0

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.

18.4%Headshot accuracy
34.7%Accuracy (enemy spotted)
37.1%Spray accuracy
78.9%Counter-strafing
8.3°Preaim
567msReaction time
54.3%T opening success
56.8%CT opening success
0.39Enemies flashed / flash
2.5%Flash assists
6.96HE damage / grenade
1.73Flashes / 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 0.3867 — below the 0.5 mark we flag

    Grenade Lineups
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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke2–13-0.0732%18 Sept
nuke3–13-0.0919%17 Sept
dust29–13-0.0221%17 Sept
dust213–10.1728%16 Sept
dust213–8-0.0113%16 Sept
dust25–12-0.0317%15 Sept
mirage6–13-0.0112%13 Sept
nuke13–70.0016%13 Sept
dust25–13-0.0411%13 Sept
mirage16–130.0233%13 Sept
dust213–90.0818%13 Sept
ancient5–130.0411%12 Sept
dust213–20.1314%12 Sept
mirage5–13-0.0214%11 Sept
nuke13–11-0.0314%11 Sept
anubis13–90.0124%11 Sept
dust25–13-0.0812%11 Sept
dust213–50.0217%11 Sept
nuke13–110.0421%10 Sept
cache7–13-0.0514%10 Sept
mirage11–13-0.0116%9 Sept
office9–30.1160%9 Sept
nuke10–13-0.0413%9 Sept
dust212–12-0.0615%7 Sept
dust213–70.0519%7 Sept
dust27–13-0.0124%7 Sept
vertigo13–60.026%6 Sept
dust212–120.0213%6 Sept
ancient12–12-0.0126%6 Sept
mirage12–12-0.0215%6 Sept
dust212–12-0.0111%6 Sept
dust212–12-0.0111%6 Sept
mirage13–90.0324%5 Sept
dust213–40.0010%4 Sept
nuke6–130.0341%4 Sept
train5–13-0.0120%4 Sept
ancient13–90.109%3 Sept
dust213–30.0619%3 Sept
office13–1-0.0233%3 Sept
office13–100.0328%3 Sept
mirage12–120.0515%31 Aug
inferno13–110.0119%31 Aug
cache7–13-0.0514%31 Aug
dust213–40.0616%31 Aug
office13–4-0.0716%31 Aug
dust212–12-0.0222%30 Aug
dust26–13-0.059%29 Aug
nuke5–1-0.0257%29 Aug
dust25–13-0.034%29 Aug
ancient15–150.0115%29 Aug
dust27–13-0.0218%29 Aug
anubis13–70.0119%28 Aug
dust213–40.1825%28 Aug
dust213–100.1923%28 Aug
dust211–130.0320%28 Aug
dust213–70.0210%28 Aug
dust24–13-0.0119%28 Aug
dust213–80.0922%28 Aug
dust213–100.0630%27 Aug
mirage13–90.0916%27 Aug
mirage13–20.0433%25 Aug
office12–12-0.0429%25 Aug
mirage3–13-0.0513%25 Aug
dust26–13-0.0925%25 Aug
dust213–90.0817%24 Aug
dust213–4-0.0221%24 Aug
dust213–30.0121%23 Aug
nuke6–13-0.0117%23 Aug
dust210–130.0310%23 Aug
dust213–1-0.0616%23 Aug
dust213–20.0714%23 Aug
dust210–13-0.0414%23 Aug
vertigo12–12-0.0311%22 Aug
dust213–50.0617%22 Aug
dust23–130.016%22 Aug
office11–130.0220%22 Aug
dust210–130.037%22 Aug
nuke13–70.0516%22 Aug
dust27–13-0.1211%22 Aug
mirage13–30.1518%21 Aug
nuke14–160.0718%21 Aug
dust213–7-0.0514%21 Aug
mirage13–80.0421%21 Aug
dust26–13-0.015%21 Aug
dust213–50.0222%21 Aug
ancient8–13-0.0710%20 Aug
dust213–50.0930%20 Aug
dust210–13-0.0114%20 Aug
dust27–130.0213%19 Aug
dust210–130.0412%19 Aug
dust213–50.1319%16 Aug
nuke10–130.0919%16 Aug
dust23–13-0.050%16 Aug
dust212–12-0.0919%15 Aug
office13–80.017%15 Aug
dust26–13-0.105%15 Aug
mirage13–70.1021%14 Aug
ancient13–60.0422%14 Aug
inferno0–13-0.0411%14 Aug
dust211–40.0718%14 Aug

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 →