IcySharPKer

IcySharPKer — CS2 Stats

76561199440666141[U:1:1480400413]Steam profile ↗✓ No bans

1,463Tracked matches40%Win rate2023Tracked since
CSDB Rating4.6 DevelopingSupport
FaceitLevel 8 · 1,098 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGIcySharPKerFACEITLevel 8 · 1,098 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim52
Positioning60
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY45–55Last 10045%Win rateWWLLLLWLWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.2pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 638ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 599ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 599ms

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 (+2.3 against its own average).

Aim5.2
Utility6.6
Positioning6.0
Opening Duels0.6
Clutch3.8

Effective flashes

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

Twistzz

Plays most like Twistzz 63% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 584ms 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

Aim5.2
Positioning6.0
Utility6.6
Mechanics6.2
Opening Duels2.9
Win Impact1.7

Composite 4.6/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time570ms−33ms
first ⅓ avg 603ms → last ⅓ avg 570ms
Headshot accuracy20.7%+4.2%
first ⅓ avg 16.5% → last ⅓ avg 20.7%

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

0.15Best match rating · 13–6 · dust2, 20 Sept →
38%Best headshot accuracy · 13–8 · nuke, 30 Aug →
344msFastest reaction time · 1–8 · dust2, 24 Aug →
13–0Biggest win · dust2, 28 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 70% over 10nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC3515–2043%-0.01
ancientC2611–1542%-0.03
dust2B136–746%0.02
anubisS107–370%-0.02
infernoC83–538%-0.01
nukeD62–433%-0.02
cache—11–0100%0.06
office—10–10%0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,265Matches
51%Win rate
0.91Avg K/D
70.8ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage41751%0.9112.8
Ancient22649%0.8213.0
Dust216453%1.0414.0
Anubis15449%0.8812.4
Inferno13350%0.9413.2
Nuke7753%0.9913.4
Vertigo7653%0.8913.0
Train1155%0.9014.4

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.

20.4%Headshot accuracy
28.9%Accuracy (enemy spotted)
33.9%Spray accuracy
77.9%Counter-strafing
12.5°Preaim
584msReaction time
46.9%T opening success
36.1%CT opening success
0.71Enemies flashed / flash
9.5%Flash assists
8.72HE damage / grenade
10.82Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5259° — above the 12° mark we flag

    Aim Training →
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 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0520%1 Oct →
ancient13–9-0.0517%1 Oct →
mirage9–13-0.0416%1 Oct →
ancient11–13-0.0617%1 Oct →
anubis0–11-0.0332%1 Oct →
dust20–13-0.0533%30 Sept →
mirage13–10.1524%23 Sept →
mirage5–130.0330%23 Sept →
mirage13–40.0615%23 Sept →
mirage13–16-0.0524%23 Sept →
mirage10–13-0.0121%22 Sept →
ancient13–11-0.0611%22 Sept →
mirage11–13-0.0415%20 Sept →
ancient13–100.0025%20 Sept →
mirage11–130.0111%20 Sept →
dust213–60.1529%20 Sept →
anubis13–7-0.0221%18 Sept →
ancient13–100.0622%15 Sept →
ancient11–13-0.0333%15 Sept →
inferno14–160.0125%15 Sept →
inferno10–13-0.0117%15 Sept →
mirage9–13-0.0413%14 Sept →
mirage2–13-0.1217%14 Sept →
mirage11–13-0.0618%14 Sept →
anubis13–11-0.0626%14 Sept →
ancient16–14-0.0218%14 Sept →
inferno13–11-0.0321%13 Sept →
ancient8–13-0.0413%12 Sept →
mirage4–13-0.0619%12 Sept →
ancient4–13-0.0521%8 Sept →
mirage13–50.0119%8 Sept →
ancient14–16-0.0421%8 Sept →
anubis13–6-0.0221%8 Sept →
mirage13–16-0.0418%7 Sept →
ancient13–9-0.064%6 Sept →
anubis10–13-0.0418%6 Sept →
mirage13–80.0618%4 Sept →
ancient11–13-0.0426%4 Sept →
mirage13–10-0.0233%4 Sept →
mirage5–13-0.0221%4 Sept →
dust213–11-0.0233%4 Sept →
mirage10–130.0214%1 Sept →
mirage10–13-0.0420%30 Aug →
mirage5–13-0.017%30 Aug →
nuke13–8-0.0538%30 Aug →
ancient13–8-0.0220%30 Aug →
ancient13–9-0.0222%30 Aug →
mirage13–30.0235%29 Aug →
anubis13–11-0.0913%29 Aug →
mirage13–9-0.0221%29 Aug →
ancient7–130.0210%29 Aug →
dust213–00.0730%28 Aug →
dust28–13-0.0119%27 Aug →
ancient11–130.0219%27 Aug →
mirage5–13-0.0126%26 Aug →
ancient13–40.0620%24 Aug →
dust29–130.0415%24 Aug →
dust21–8-0.0820%24 Aug →
ancient4–13-0.0515%23 Aug →
nuke6–13-0.0810%23 Aug →
dust28–13-0.0328%23 Aug →
anubis13–80.0620%8 Jun →
inferno13–20.027%8 Jun →
inferno13–70.0218%8 Jun →
ancient4–13-0.1227%1 Jun →
mirage8–13-0.0614%1 Jun →
mirage13–9-0.0414%30 May →
inferno9–13-0.056%30 May →
mirage13–9-0.0420%29 May →
nuke6–130.0313%28 May →
mirage9–130.0115%28 May →
ancient13–7-0.0116%27 May →
anubis22–19-0.0319%26 May →
mirage13–4-0.0219%25 May →
cache13–60.0619%23 May →
nuke10–130.0313%23 May →
mirage13–11-0.0416%18 May →
ancient7–13-0.0514%18 May →
nuke16–140.0115%17 May →
dust24–130.0315%17 May →
anubis2–13-0.0423%17 May →
dust211–13-0.0419%17 May →
ancient14–16-0.0118%16 May →
mirage13–70.0231%14 May →
mirage19–22-0.0222%12 May →
inferno5–13-0.0713%10 May →
ancient7–13-0.0615%9 May →
nuke2–13-0.0515%9 May →
mirage10–130.0111%5 May →
inferno6–13-0.0222%5 May →
ancient7–13-0.0710%2 May →
mirage13–70.0420%2 May →
ancient4–4-0.0422%2 May →
ancient13–11-0.0210%29 Apr →
dust213–90.0325%26 Apr →
office10–130.0217%25 Apr →
mirage13–30.0716%25 Apr →
dust213–100.0814%25 Apr →
dust213–80.0318%23 Apr →
anubis13–60.107%22 Apr →

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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