Icomar

Icomar — CS2 Stats

DE76561198301929233[U:1:341663505]Steam profile ↗✓ No bans

879Tracked matches59%Win rate2020Tracked since
3,886Hours in CS5Hrs last 2 wks
CSDB Rating6.6 SolidAll-Rounder
Premier CS Rating10,350Blue band · top ~53% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (4 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: 10,350 -2,188 7 Sept – 11 Nov · 31 days played
8,69012,538peak 12,5387 Sept11 Nov
12,538Peak Premier in tracked matches
32Days played since 2026-09-07

Premier CS Rating

  • 2,188 below peak (12,538)
  • -515 over 30 days · declining
  • Next: Purple band at 15,000 — 4,650 to go
  • Reached: Blue band · 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 2 among CSDB-tracked players (n=6,219), 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 2 medianLevel 3 medianvs Level 3
Headshot rate49.6%41.3%41.8%above
Shot accuracy16.5%12.7%12.2%above
Kill/death ratio1.190.950.98above
Match win rate47.9%42.6%43.3%above

Across every metric we can compare, this profile already matches the typical Level 3 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGIcomarFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER10,350 · Blue 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

Aim71
Positioning68
Utility66

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateTLWTLWLLWL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +0.5pp headshot accuracy · −20ms reaction

Win rate down 30pp 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

  • 1–2–2 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 556ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 577ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.1
Utility6.6
Positioning6.8
Opening Duels4.8

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

ZywOo

Plays most like ZywOo 83% 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 571ms 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

Aim7.1
Positioning6.8
Utility6.6
Mechanics6.7
Opening Duels6.6
Win Impact8.1

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time564ms−20ms
first ⅓ avg 584ms → last ⅓ avg 564ms
Headshot accuracy18.5%−0.3%
first ⅓ avg 18.8% → last ⅓ avg 18.5%

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.

Personal bests

0.23Best match rating · 13–2 · dust2, 26 Sept →
38%Best headshot accuracy · 14–16 · inferno, 25 Sept →
375msFastest reaction time · 2–9 · dust2, 26 Sept →
13–2Biggest win · nuke, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–11In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 55% over 11infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B2411–1346%0.05
nukeB157–847%-0.00
mirageC146–843%0.01
cacheB147–750%0.02
anubisB126–650%0.02
ancientA116–555%0.03
infernoC104–640%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,890Lifetime kills
1.19K/D · Top 25% of Level 2 players
3,153Matches
47.9%Match win rate · Top 25% of Level 2 players
49.6%Headshot % · Top 25% of Level 2 players
16.5%Shot accuracy · Top 25% of Level 2 players
7,039MVPs
1,257Hours (in match)
3,016Bombs planted
754Bombs defused

Most-used weapons

AK-4716,883
AWP7,695
P902,192
SSG 081,891
XM10141,582

Lifetime map wins

16,466dust2
1,861inferno
1,676nuke
485vertigo
467train
339cbble
177office
83assault

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.9%Headshot accuracy
36.2%Accuracy (enemy spotted)
38.0%Spray accuracy
80.3%Counter-strafing
10.8°Preaim
571msReaction time
60.3%T opening success
52.1%CT opening success
0.59Enemies flashed / flash
6.2%Flash assists
8.82HE damage / grenade
12.56Flashes / match

Recommended for you

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust215–150.1317%11 Nov →
inferno11–130.0521%11 Nov →
ancient13–70.0024%10 Nov →
ancient15–150.0020%10 Nov →
nuke5–130.0122%10 Nov →
inferno13–30.014%8 Nov →
mirage10–130.0110%4 Nov →
dust212–16-0.0511%18 Oct →
anubis13–11-0.0025%18 Oct →
nuke8–13-0.0413%8 Oct →
mirage9–13-0.0225%8 Oct →
nuke16–130.0315%7 Oct →
nuke13–20.0418%7 Oct →
mirage13–10-0.063%6 Oct →
mirage13–80.0311%6 Oct →
cache10–13-0.0111%4 Oct →
anubis5–110.0327%4 Oct →
dust215–150.0217%2 Oct →
dust213–80.0820%2 Oct →
ancient13–70.0213%2 Oct →
cache13–10-0.0125%1 Oct →
mirage13–11-0.0119%1 Oct →
nuke13–110.0619%1 Oct →
cache9–130.0813%30 Sept →
nuke13–90.0432%29 Sept →
inferno13–7-0.0315%29 Sept →
inferno7–13-0.0310%29 Sept →
inferno13–80.0618%29 Sept →
cache13–100.0824%29 Sept →
anubis7–130.0138%29 Sept →
mirage6–130.0131%27 Sept →
ancient13–70.0323%27 Sept →
inferno10–130.0117%26 Sept →
dust213–20.2326%26 Sept →
dust21–40.0517%26 Sept →
dust22–90.0938%26 Sept →
inferno14–160.0638%25 Sept →
inferno9–130.0129%25 Sept →
dust213–90.0422%25 Sept →
mirage13–7-0.0323%24 Sept →
mirage13–110.0724%24 Sept →
mirage3–130.0623%24 Sept →
cache13–30.0722%24 Sept →
dust213–40.0410%24 Sept →
anubis11–130.0310%24 Sept →
inferno13–10-0.0210%23 Sept →
cache11–130.0515%23 Sept →
dust214–16-0.0216%23 Sept →
dust213–80.1015%23 Sept →
mirage13–16-0.0225%23 Sept →
dust28–130.0423%22 Sept →
anubis13–110.0518%22 Sept →
cache13–110.0432%21 Sept →
cache9–13-0.0324%21 Sept →
mirage3–110.0210%21 Sept →
ancient13–110.0424%21 Sept →
anubis13–60.0118%21 Sept →
anubis13–40.1714%21 Sept →
nuke5–130.0327%21 Sept →
nuke13–90.0320%21 Sept →
cache13–3-0.0016%21 Sept →
dust213–80.0328%21 Sept →
nuke4–13-0.0133%20 Sept →
mirage16–130.0021%20 Sept →
dust25–13-0.0030%19 Sept →
ancient11–130.1120%18 Sept →
dust213–20.0929%18 Sept →
nuke16–14-0.0215%18 Sept →
inferno11–130.0319%17 Sept →
dust213–80.1320%17 Sept →
nuke11–13-0.0516%14 Sept →
anubis9–130.0022%14 Sept →
cache11–13-0.0213%14 Sept →
dust210–130.0532%13 Sept →
cache15–150.1027%13 Sept →
dust29–130.0016%13 Sept →
dust213–80.0321%12 Sept →
mirage7–13-0.0226%12 Sept →
mirage10–130.0518%12 Sept →
dust28–13-0.0416%11 Sept →
nuke11–13-0.0614%11 Sept →
anubis8–13-0.0224%11 Sept →
dust213–110.0828%11 Sept →
cache13–40.0723%11 Sept →
cache13–80.0211%10 Sept →
dust23–130.0120%10 Sept →
anubis13–110.0210%10 Sept →
nuke9–13-0.1036%10 Sept →
nuke13–50.0621%10 Sept →
anubis10–13-0.068%10 Sept →
ancient11–13-0.0224%9 Sept →
dust213–80.0216%9 Sept →
anubis13–80.0221%9 Sept →
ancient13–60.0519%9 Sept →
cache3–13-0.119%9 Sept →
ancient10–130.0417%9 Sept →
ancient13–40.1216%8 Sept →
dust27–13-0.057%8 Sept →
ancient8–13-0.0115%8 Sept →
nuke12–16-0.0323%7 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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