IcySyns — CS2 Stats

76561198808729108[U:1:848463380]

904Tracked matches59%Win rate2020Tracked since
CSDB Rating5.9 SolidHybrid Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGIcySynsFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.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

Aim73
Positioning47
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY49456Last 10049%Win rateLWWWLWLLWL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.3
Aggression4.8
Utility4.0
Positioning4.7
Opening Duels1.1
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.

Your pro match

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: opening-fight frequency, 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. 646ms 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

Aim7.3
Positioning4.7
Utility4.0
Mechanics8.2
Opening Duels1.1
Win Impact7.9

Composite 5.9/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time646ms−64ms
first ⅓ avg 710ms → last ⅓ avg 646ms
Headshot accuracy16.5%−2.0%
first ⅓ avg 18.5% → last ⅓ avg 16.5%

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

0.19Best rating — overpass 13–5
132Biggest win — overpass
4Longest win streak
54In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 67% over 9infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A33181555%0.01
mirageA2011955%0.02
infernoD1331023%-0.02
overpassS96367%0.06
ancientC83538%0.02
nukeA74357%-0.00
cacheD62433%0.00
train32167%0.02
vertigo1010%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

18Matches
44%Win rate
0.88Avg K/D
59.3ADR
28%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo10%0.5811.0
Nuke10%0.8612.0

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.

16.1%Headshot accuracy
39.2%Accuracy (enemy spotted)
40.3%Spray accuracy
86.9%Counter-strafing
11.0°Preaim
646msReaction time
29.9%T opening success
38.7%CT opening success
0.55Enemies flashed / flash
5.2%Flash assists
10.14HE damage / grenade
3.77Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7683 — below the 4 mark we flag

    Grenade Lineups
  2. 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 29.8938% — 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.

23% 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
nuke10–130.0217%16 Aug
inferno13–60.0218%6 Aug
nuke13–5-0.069%31 Jul
ancient13–110.0117%31 Jul
dust210–13-0.016%27 Jul
dust213–5-0.0224%27 Jul
nuke7–13-0.028%22 Jul
mirage10–13-0.0112%16 Jul
mirage13–110.0422%16 Jul
dust24–13-0.0325%6 Jul
dust213–60.0417%4 Jul
dust213–9-0.0117%28 Jun
dust213–9-0.0214%14 Jun
overpass13–80.099%14 Jun
ancient8–130.0113%13 Jun
mirage11–130.0817%8 Jun
cache13–60.0645%8 Jun
dust29–13-0.0324%31 May
overpass13–16-0.0320%29 May
mirage13–90.0113%29 May
ancient11–13-0.007%18 May
dust213–80.0314%16 May
nuke13–7-0.0220%14 May
overpass7–130.0310%12 May
overpass13–8-0.0121%12 May
mirage16–130.036%12 May
mirage13–80.0614%12 May
nuke12–12-0.0418%11 May
train13–11-0.0421%11 May
dust29–130.0011%9 May
cache3–130.0114%9 May
cache2–13-0.0033%8 May
overpass13–20.146%6 May
nuke13–60.0614%6 May
cache5–130.036%4 May
cache0–8-0.0950%4 May
mirage10–130.0221%3 May
cache13–100.0318%3 May
dust211–130.0011%30 Apr
train13–100.1110%27 Apr
ancient13–70.1220%27 Apr
inferno2–130.0517%27 Apr
dust213–10-0.046%18 Apr
dust23–13-0.0220%18 Apr
inferno3–13-0.0628%17 Apr
mirage13–11-0.0010%13 Apr
mirage5–130.0516%13 Apr
mirage9–130.0114%12 Apr
mirage7–2-0.050%12 Apr
dust213–20.0221%12 Apr
dust210–130.008%12 Apr
dust213–100.0117%12 Apr
inferno4–13-0.014%12 Apr
dust213–80.0222%12 Apr
inferno13–70.0513%6 Apr
vertigo12–120.0422%29 Mar
nuke13–50.0317%29 Mar
ancient13–70.0613%29 Mar
overpass13–90.0210%14 Mar
dust213–110.0210%14 Mar
inferno9–130.0215%12 Feb
mirage13–100.0313%31 Jan
mirage13–9-0.016%12 Jan
dust212–120.0319%12 Jan
dust25–13-0.0117%7 Jan
mirage13–7-0.0210%5 Jan
dust26–10.0122%5 Jan
dust27–00.0567%5 Jan
dust213–80.0716%11 Nov
inferno13–160.027%11 Nov
mirage9–130.0212%10 Nov
dust213–160.0416%9 Nov
inferno7–130.0118%9 Nov
overpass13–80.0811%8 Nov
dust213–30.0521%8 Nov
mirage8–130.0222%3 Oct
dust24–13-0.1214%30 Sept
inferno12–12-0.0313%29 Sept
dust213–100.0427%29 Sept
mirage13–100.1218%29 Sept
overpass13–50.1917%29 Sept
dust26–13-0.0114%29 Sept
dust213–100.1223%29 Sept
dust213–60.0520%29 Sept
dust213–100.0627%27 Sept
train15–15-0.0113%2 Aug
inferno14–16-0.0611%20 Jul
inferno13–100.0225%30 Jun
ancient6–130.027%15 Jun
ancient7–13-0.0212%15 Jun
dust28–130.0424%9 Jun
mirage7–13-0.0433%2 Jun
inferno1–9-0.210%2 Jun
dust210–130.0118%28 May
overpass12–120.0629%27 May
inferno6–13-0.0411%19 May
dust27–13-0.0411%4 Apr
mirage13–7-0.0314%4 Apr
ancient5–13-0.058%29 Mar
mirage10–130.0033%17 Mar

Match data via Leetify.

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →