Ultra-wide Chrome

Ultra-wide Chrome — CS2 Stats

KP76561199009746611[U:1:1049480883]Steam profile ↗✓ No bans

278Tracked matches38%Win rate2023Tracked since
443Hours in CS18Hrs last 2 wks
CSDB Rating1.7 LearningPositional Player
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (57 days ago). Ranks are recorded once per day this page is viewed.

+32Tracked matches · now 278
−25.4ppWin rate · 63.3% → 37.9%

Rating over time

64Days played since 2026-03-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim10
Positioning39
Utility19

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateLLLLWLLWLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −1.4pp headshot accuracy · +66ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 725ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 683ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 650ms

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 Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim1.0
Utility1.9
Positioning3.9
Opening Duels0.0

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

ZywOo

Plays most like ZywOo 65% playstyle similarity

Most alike: positioning profile, 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

CT openings. Opening success drops from 50% on T to 26% on CT — first contacts on the defending side are being lost.

Reaction time. 650ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 50% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.0
Positioning3.9
Utility1.9
Mechanics0.1
Opening Duels2.5
Win Impact1.0

Composite 1.7/10 (Learning), 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 rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time641ms−75ms
first ⅓ avg 716ms → last ⅓ avg 641ms
Headshot accuracy10.0%−1.2%
first ⅓ avg 11.2% → last ⅓ avg 10.0%

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

0.18Best match rating · 9–3 · inferno, 28 Mar →
23%Best headshot accuracy · 13–8 · anubis, 21 Jul →
391msFastest reaction time · 6–9 · inferno, 27 Apr →
13–1Biggest win · anubis, 13 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
3–10In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 73% over 11nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC2911–1838%-0.04
cacheB1910–953%-0.04
anubisC125–742%-0.02
mirageB115–645%-0.05
ancientS118–373%-0.03
nukeD92–722%-0.05
dust2B63–350%-0.05
office—10–10%-0.07
train—11–0100%-0.06
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,457Lifetime kills
0.68K/D
630Matches
42.4%Match win rate
38.1%Headshot %
1.0%Shot accuracy
1,277MVPs
171Hours (in match)
367Bombs planted
106Bombs defused

Most-used weapons

Lifetime map wins

1,840inferno
746nuke
666dust2
156vertigo
85train
47office
9lake
5cbble

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.

9.7%Headshot accuracy
25.1%Accuracy (enemy spotted)
24.7%Spray accuracy
50.5%Counter-strafing
11.7°Preaim
650msReaction time
50.4%T opening success
25.9%CT opening success
0.26Enemies flashed / flash
3.5%Flash assists
3.73HE damage / grenade
4.11Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.716% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2592 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 25.8696% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–13-0.069%28 Oct →
mirage2–13-0.0820%27 Oct →
cache9–13-0.1111%27 Oct →
anubis10–13-0.034%25 Oct →
cache13–10-0.0012%24 Oct →
ancient11–130.018%22 Oct →
anubis7–13-0.049%22 Oct →
inferno13–40.086%22 Oct →
dust27–13-0.096%21 Oct →
ancient13–3-0.057%21 Oct →
nuke10–13-0.047%20 Oct →
cache10–13-0.069%19 Oct →
inferno13–9-0.0916%19 Oct →
mirage16–13-0.076%19 Oct →
mirage11–13-0.0714%14 Oct →
ancient13–7-0.045%13 Oct →
ancient13–9-0.0715%13 Oct →
ancient13–10-0.0513%9 Oct →
anubis10–13-0.0214%9 Oct →
cache11–13-0.098%21 Sept →
inferno10–130.0211%21 Sept →
nuke6–13-0.115%20 Sept →
inferno4–13-0.095%19 Sept →
nuke2–13-0.075%19 Sept →
anubis13–10.0311%13 Sept →
nuke12–12-0.089%11 Sept →
inferno13–6-0.0015%11 Sept →
office2–13-0.076%9 Sept →
ancient13–11-0.0113%8 Sept →
nuke4–13-0.0711%3 Sept →
mirage6–13-0.0415%1 Sept →
inferno9–5-0.1814%1 Sept →
ancient13–7-0.0312%31 Aug →
dust213–110.0415%29 Aug →
mirage13–9-0.0114%27 Aug →
ancient13–70.105%26 Aug →
cache13–10-0.0410%23 Aug →
ancient13–11-0.0514%23 Aug →
dust213–10-0.0414%23 Aug →
inferno1–13-0.0517%23 Aug →
mirage13–9-0.0612%22 Aug →
nuke13–70.078%12 Aug →
cache13–3-0.019%31 Jul →
nuke13–70.0012%31 Jul →
ancient7–13-0.099%30 Jul →
inferno8–8-0.116%30 Jul →
inferno7–9-0.1810%29 Jul →
inferno9–3-0.039%29 Jul →
dust24–13-0.104%26 Jul →
anubis13–4-0.0117%26 Jul →
inferno10–13-0.0614%26 Jul →
cache13–10-0.064%24 Jul →
mirage1–3-0.0717%24 Jul →
inferno0–9-0.150%24 Jul →
dust213–8-0.0311%23 Jul →
anubis2–13-0.0413%23 Jul →
ancient7–13-0.0721%23 Jul →
cache13–10.0113%23 Jul →
anubis13–8-0.0523%21 Jul →
inferno7–13-0.0620%20 Jul →
train13–4-0.0611%17 Jun →
nuke7–13-0.093%11 Jun →
cache13–5-0.037%10 Jun →
cache7–13-0.0712%9 Jun →
mirage13–90.036%8 Jun →
cache8–30.0112%1 Jun →
anubis13–50.0213%28 May →
anubis9–130.008%27 May →
cache10–13-0.0713%21 May →
cache9–13-0.0511%20 May →
inferno13–9-0.0611%16 May →
cache9–130.0514%10 May →
cache13–8-0.0110%9 May →
cache13–8-0.093%7 May →
inferno7–9-0.084%5 May →
anubis13–16-0.028%4 May →
inferno10–13-0.0710%4 May →
cache13–6-0.0217%4 May →
mirage4–13-0.070%2 May →
anubis13–8-0.055%2 May →
cache10–13-0.0412%30 Apr →
inferno9–5-0.0522%30 Apr →
inferno4–9-0.084%29 Apr →
inferno5–9-0.0823%29 Apr →
inferno8–8-0.0611%29 Apr →
inferno7–9-0.0616%27 Apr →
inferno6–9-0.095%27 Apr →
nuke8–13-0.0611%26 Apr →
mirage11–13-0.0312%25 Apr →
dust22–13-0.1111%24 Apr →
inferno9–60.0713%12 Apr →
inferno9–5-0.0315%12 Apr →
inferno7–9-0.148%12 Apr →
mirage13–9-0.0213%12 Apr →
vertigo5–13-0.0315%11 Apr →
inferno8–8-0.0217%11 Apr →
inferno9–50.1513%8 Apr →
anubis11–13-0.0113%3 Apr →
inferno8–80.0313%31 Mar →
inferno9–30.1811%28 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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