Icicle

Icicle — CS2 Stats

76561198273530366[U:1:313264638]Steam profile ↗✓ No bans

1,406Tracked matches47%Win rate2020Tracked since
CSDB Rating3.2 Learning
Premier CS Rating3,680Grey band · top ~84.4% of ranked players (population est.)
CSDB Leaderboard#15994 of 20669 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

Share this profile

CSDB.GGIcicleFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER3,680 · 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

Aim27
Positioning48
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY38602Last 10038%Win rateWWWLWLLWLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim2.7
Aggression4.4
Utility3.3
Positioning4.8
Opening Duels1.3
Clutch3.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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. 628ms 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

Aim2.7
Positioning4.8
Utility3.3
Mechanics4.9
Opening Duels1.3
Win Impact3.9

Composite 3.2/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time621ms+6ms
first ⅓ avg 615ms → last ⅓ avg 621ms
Headshot accuracy16.6%−2.0%
first ⅓ avg 18.5% → last ⅓ avg 16.6%

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.

Highlights

0.10Best rating — vertigo 9–4
132Biggest win — nuke
3Longest win streak
W3Current streak
136In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 44% over 18infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
nukeD2791833%-0.01
dust2C2081240%-0.02
mirageC1881044%-0.02
infernoD134931%-0.01
anubisC73443%-0.04
cache43175%-0.06
overpass42250%-0.01
vertigo31233%0.01
office2020%-0.06
ancient1010%-0.06
train1010%-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

241Matches
49%Win rate
0.93Avg K/D
71.9ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo6453%0.9214.1
Nuke4860%1.0014.7
Dust24743%1.0014.9
Mirage3441%0.8615.2
Anubis2752%0.8613.0
Inferno1145%0.7915.3
Ancient50%0.7312.8
Overpass10%0.448.0

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.

16.0%Headshot accuracy
24.9%Accuracy (enemy spotted)
24.2%Spray accuracy
71.9%Counter-strafing
11.7°Preaim
628msReaction time
31.6%T opening success
38.6%CT opening success
0.71Enemies flashed / flash
6.6%Flash assists
6.76HE damage / grenade
4.02Flashes / 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 31.5562% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0711%11 Aug
cache13–10-0.0417%16 Jul
nuke13–110.0116%5 Jun
mirage4–13-0.088%5 Jun
cache13–5-0.0721%20 May
cache5–13-0.0611%29 Apr
mirage10–13-0.065%15 Apr
anubis13–6-0.0125%8 Apr
nuke6–130.0216%8 Apr
vertigo10–130.0020%8 Apr
nuke13–7-0.0213%12 Mar
dust27–13-0.0516%12 Mar
dust213–11-0.0412%13 Feb
mirage13–7-0.0118%12 Feb
mirage13–40.0244%9 Feb
dust29–13-0.013%9 Feb
nuke13–90.0321%9 Feb
anubis13–4-0.0420%4 Feb
mirage11–13-0.026%3 Feb
nuke2–13-0.0729%3 Feb
dust25–13-0.0512%2 Feb
nuke8–13-0.0121%1 Feb
nuke9–130.0115%1 Feb
nuke0–7-0.0419%1 Feb
anubis6–13-0.027%31 Jan
mirage7–13-0.0911%30 Jan
anubis3–13-0.0913%30 Jan
dust216–130.0116%29 Jan
overpass13–90.0222%29 Jan
nuke13–100.0523%28 Jan
nuke10–130.0122%28 Jan
nuke8–130.0215%25 Jan
nuke8–13-0.0319%24 Jan
inferno6–9-0.0125%22 Jan
nuke9–70.0223%22 Jan
nuke7–9-0.0319%22 Jan
vertigo9–40.1024%22 Jan
mirage15–15-0.0232%22 Jan
mirage8–13-0.0213%19 Jan
ancient10–13-0.0620%19 Jan
office6–13-0.0235%11 Jan
dust216–140.0427%7 Jan
mirage13–50.0017%7 Jan
nuke7–13-0.0216%7 Jan
overpass4–13-0.0533%7 Jan
inferno7–13-0.0619%6 Jan
nuke7–13-0.0818%1 Jan
dust211–13-0.0611%31 Dec
mirage7–13-0.0224%30 Dec
nuke3–13-0.0120%29 Dec
mirage6–130.0120%29 Dec
dust213–110.024%26 Dec
overpass5–13-0.0624%11 Dec
train5–13-0.0219%11 Dec
office4–13-0.1010%28 Nov
nuke13–110.0026%30 Oct
mirage13–8-0.0323%21 Oct
dust25–13-0.0921%15 Sept
dust24–13-0.0313%10 Sept
overpass13–70.0715%7 Sept
dust28–13-0.0317%7 Sept
inferno13–10-0.0527%30 Aug
nuke16–14-0.0218%24 Aug
nuke10–130.0425%6 Aug
dust28–130.0115%5 Aug
inferno8–13-0.0325%5 Aug
vertigo5–13-0.0717%21 Jul
nuke6–130.0330%21 Jul
mirage13–9-0.0120%17 Jun
inferno13–110.0528%9 Jun
mirage11–130.0733%8 Jun
inferno11–130.0029%5 Jun
mirage2–13-0.070%5 Jun
nuke11–13-0.0828%4 Jun
nuke5–13-0.0925%30 May
mirage13–4-0.0123%26 May
nuke13–20.0426%25 May
inferno5–13-0.0512%17 May
inferno13–80.0713%16 May
nuke10–130.0115%15 May
anubis13–11-0.048%13 May
inferno5–13-0.0213%13 May
nuke13–70.0426%12 May
dust213–110.0415%10 May
dust27–13-0.0224%9 May
inferno1–13-0.0210%9 May
dust23–13-0.037%8 May
dust26–13-0.0110%7 May
inferno13–50.0514%6 May
anubis4–13-0.0113%5 May
dust212–12-0.0415%2 May
nuke8–13-0.0623%30 Apr
inferno7–13-0.0224%29 Apr
dust213–11-0.0228%26 Apr
mirage13–90.0419%3 Apr
inferno7–13-0.016%18 Feb
dust213–110.0320%18 Feb
mirage13–6-0.0219%16 Feb
anubis12–16-0.047%16 Feb
dust213–110.0229%16 Feb

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 →