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NE76561199500825610[U:1:1540559882]Steam profile ↗✓ No bans

279Tracked matches43%Win rate2023Tracked since
751Hours in CS33Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating4,507Grey band · top ~80.9% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 50 days played since 30 Nov 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 4,507 +846 30 Nov22 Sept · 19 days played
3,6615,802peak 5,80230 Nov22 Sept
5,802Peak Premier in tracked matches
50Days played since 2025-11-30

Premier CS Rating

  • 1,295 below peak (5,802)
  • Next: Light Blue band at 5,000 493 to go
  • Reached: 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 Grey band among CSDB-tracked players (n=3,562), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate40.4%38.2%39.9%meets
Shot accuracy3.4%3.7%6.9%3.5% short
Kill/death ratio0.780.830.920.13 short
Match win rate34.5%40.2%42.3%7.8% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFLICKPREMIER4,507 · Grey bandcsdb.gg/stats

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Performance scores

Aim75
Positioning63
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateLWWLLLWWLL

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −8.7pp headshot accuracy · −20ms 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 578ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 607ms

Last 20

  • 911 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 617ms

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 PlayerPositioning stands above the rest of this profile (+2.4 against its own average).

Aim7.5
Utility4.9
Positioning6.3
Opening Duels4.5
Clutch0.0

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 91% 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

Reaction time. 608ms 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

Aim7.5
Positioning6.3
Utility4.9
Mechanics5.9
Opening Duels5.1
Win Impact2.8

Composite 5.3/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time606ms−41ms
first ⅓ avg 647ms → last ⅓ avg 606ms
Headshot accuracy21.9%+9.9%
first ⅓ avg 12.1% → last ⅓ avg 21.9%

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

0.17Best match rating · 13–8 · mirage, 3 Aug
50%Best headshot accuracy · 9–13 · mirage, 18 Aug
453msFastest reaction time · 7–13 · mirage, 2 Aug
13–2Biggest win · dust2, 8 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
76In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 75% over 8mirageWeakest map · 36% over 42
MapGradePlayedRecordWin rateAvg rating
mirageC42152736%-0.01
nukeA159660%-0.01
dust2C114736%-0.02
infernoC114736%0.02
ancientS86275%-0.02
anubis42250%-0.01
train32167%0.04
overpass32167%0.04
cache21150%-0.02
vertigo110100%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 42). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,412Lifetime kills
0.78K/D
618Matches
34.5%Match win rate
40.4%Headshot % · Top 50% of Grey band
3.4%Shot accuracy
1,176MVPs
215Hours (in match)
656Bombs planted
104Bombs defused

Most-used weapons

Lifetime map wins

508nuke
404inferno
254vertigo
243dust2
99train
29lake
21office
7ar_shoots

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

Faceit stats

Combat

2Matches
0%Win rate
0.78Avg K/D
85.2ADR
67%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.699.0
Dust210%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.

21.9%Headshot accuracy
36.0%Accuracy (enemy spotted)
35.5%Spray accuracy
76.5%Counter-strafing
8.5°Preaim
608msReaction time
46.5%T opening success
54.5%CT opening success
0.58Enemies flashed / flash
7.1%Flash assists
9.87HE damage / grenade
5.99Flashes / match

Recommended for you

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 42 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.038%22 Sept
mirage13–100.0126%22 Sept
cache13–50.0326%22 Sept
dust210–13-0.0816%21 Sept
nuke4–13-0.0411%18 Sept
nuke14–160.0229%17 Sept
anubis13–10-0.050%17 Sept
mirage13–5-0.0212%17 Sept
inferno3–13-0.0145%5 Sept
ancient6–13-0.0710%31 Aug
dust213–11-0.0323%27 Aug
mirage9–130.0250%18 Aug
anubis13–60.1127%17 Aug
dust29–130.0734%10 Aug
cache4–13-0.0713%8 Aug
dust213–2-0.0029%8 Aug
mirage4–130.0233%5 Aug
anubis10–13-0.063%4 Aug
nuke13–30.0533%4 Aug
mirage13–80.1724%3 Aug
nuke13–10-0.0329%2 Aug
nuke13–90.0430%2 Aug
mirage7–13-0.0528%2 Aug
mirage7–13-0.0314%28 Jul
mirage7–13-0.079%28 Jul
mirage13–70.0322%28 Jul
nuke6–13-0.0412%24 Jun
mirage13–60.0418%5 Jun
mirage7–13-0.0026%1 Jun
mirage9–130.0616%19 May
inferno13–80.1114%19 May
inferno9–60.0919%19 May
mirage11–13-0.0133%13 May
mirage13–5-0.0722%3 Mar
inferno8–80.0413%3 Mar
mirage9–130.0414%21 Feb
mirage5–13-0.0825%7 Feb
mirage8–130.1019%4 Jan
mirage4–13-0.0110%3 Jan
mirage8–13-0.0513%3 Jan
mirage13–60.0121%2 Jan
train7–13-0.0017%1 Jan
train13–60.0713%1 Jan
dust22–13-0.0626%27 Dec
mirage8–13-0.0123%26 Dec
dust28–130.0121%26 Dec
overpass13–90.0615%26 Dec
dust25–13-0.0414%26 Dec
nuke5–13-0.0310%25 Dec
mirage1–13-0.1114%25 Dec
nuke2–13-0.0411%25 Dec
ancient13–3-0.0116%24 Dec
dust213–4-0.0316%24 Dec
mirage9–100.0532%24 Dec
dust213–50.0820%23 Dec
mirage13–160.0012%23 Dec
ancient13–11-0.0613%22 Dec
inferno8–8-0.124%21 Dec
nuke9–40.0915%20 Dec
mirage13–50.1111%20 Dec
vertigo13–20.050%19 Dec
nuke11–6-0.086%19 Dec
mirage11–130.0110%18 Dec
mirage3–13-0.0714%17 Dec
nuke9–5-0.1317%17 Dec
mirage13–4-0.0412%17 Dec
inferno7–9-0.0417%17 Dec
mirage9–130.004%17 Dec
mirage8–13-0.008%17 Dec
mirage13–70.0012%17 Dec
inferno8–80.0224%16 Dec
nuke9–40.013%16 Dec
inferno9–20.0618%16 Dec
inferno9–00.0619%16 Dec
mirage8–13-0.1119%16 Dec
ancient13–9-0.087%16 Dec
inferno6–13-0.0213%16 Dec
ancient5–130.037%16 Dec
ancient13–110.038%16 Dec
ancient13–90.0411%16 Dec
mirage8–13-0.053%16 Dec
train13–80.0616%16 Dec
nuke11–13-0.0224%15 Dec
inferno8–80.036%15 Dec
nuke13–11-0.0114%14 Dec
mirage13–30.0121%14 Dec
mirage8–13-0.097%14 Dec
mirage13–110.0616%13 Dec
dust24–13-0.1014%12 Dec
mirage9–13-0.017%11 Dec
overpass6–130.0611%8 Dec
mirage13–4-0.0310%7 Dec
mirage8–3-0.0121%7 Dec
dust24–13-0.066%7 Dec
mirage4–13-0.090%5 Dec
mirage8–13-0.0012%1 Dec
ancient13–7-0.0310%1 Dec
nuke13–110.0818%1 Dec
overpass13–3-0.0020%30 Nov
mirage13–110.069%30 Nov

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 →