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********* — CS2 Stats

FI76561199051281535[U:1:1091015807]Steam profile ↗✓ No bans

1,243Tracked matches67%Win rate2022Tracked since
1,288Hours in CS1Hrs last 2 wks
CSDB Rating5.7 SolidSupport
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 1,243
0.0ppWin rate · 66.7% → 66.7%

Rating over time

Premier CS Rating: 2,795 +916 14 Mar – 2 Sept · 24 days played
1,8793,956peak 3,95614 Mar2 Sept
4,125Peak Premier in tracked matches
45Days played since 2026-01-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim61
Positioning40
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWWWLWLTWLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +5.6pp headshot accuracy · −9ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 703ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 29%
  • Avg reaction 629ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 26%
  • Avg reaction 634ms

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 (+1.9 against its own average).

Aim6.1
Utility5.3
Positioning4.0
Opening Duels2.1
Clutch2.0

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 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 43% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 676ms 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

Aim6.1
Positioning4.0
Utility5.3
Mechanics7.2
Opening Duels1.6
Win Impact10.0

Composite 5.7/10 (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 rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time667ms−48ms
first ⅓ avg 715ms → last ⅓ avg 667ms
Headshot accuracy24.4%+5.3%
first ⅓ avg 19.0% → last ⅓ avg 24.4%

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

0.16Best match rating · 13–4 · dust2, 11 Apr →
50%Best headshot accuracy · 9–3 · vertigo, 8 Jun →
125msFastest reaction time · 0–9 · inferno, 8 Jun →
13–1Biggest win · dust2, 11 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
4–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 78% over 9mirageWeakest map · 50% over 34
MapGradePlayedRecordWin rateAvg rating
mirageB3417–1750%0.02
dust2B158–753%0.00
ancientB158–753%0.04
nukeB126–650%-0.02
anubisS97–278%-0.01
infernoS75–271%0.00
overpass—42–250%0.03
vertigo—32–167%0.01
train—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 34). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,989Lifetime kills
0.69K/D
2,140Matches
43.1%Match win rate
47.8%Headshot % · Top 50% of tracked players
4.4%Shot accuracy
4,588MVPs
649Hours (in match)
1,496Bombs planted
1,657Bombs defused

Most-used weapons

Lifetime map wins

2,724nuke
2,033vertigo
2,023inferno
1,553dust2
550train
235office
101lake
64safehouse

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

Faceit stats

Combat

100Matches
47%Win rate
0.66Avg K/D
55.9ADR
52%Headshot %

Clutches & streaks

30%1v1 clutch win
10%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4344%0.7210.8
Nuke1547%0.476.7
Anubis1547%0.8210.5
Ancient944%0.537.8
Dust2650%0.549.7
Inferno560%0.517.2
Overpass333%0.9718.3
Cache250%0.8615.0

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.

23.9%Headshot accuracy
30.3%Accuracy (enemy spotted)
31.2%Spray accuracy
82.5%Counter-strafing
9.6°Preaim
676msReaction time
24.8%T opening success
43.0%CT opening success
0.71Enemies flashed / flash
11.0%Flash assists
7.37HE damage / grenade
8.41Flashes / 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

    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 24.7742% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–110.0131%13 Oct →
mirage13–4-0.0622%12 Sept →
mirage13–40.0336%12 Sept →
train7–8-0.0219%12 Sept →
dust213–90.0123%12 Sept →
mirage9–13-0.0127%12 Sept →
nuke8–8-0.1219%8 Jun →
overpass9–00.0925%8 Jun →
inferno0–9-0.2633%8 Jun →
vertigo9–3-0.0550%8 Jun →
mirage13–20.0629%31 May →
nuke4–9-0.1720%9 May →
overpass9–00.0712%9 May →
anubis13–7-0.036%3 May →
mirage14–16-0.0510%2 May →
ancient11–130.1326%2 May →
anubis13–3-0.0129%2 May →
nuke7–13-0.0650%26 Apr →
nuke13–6-0.0420%26 Apr →
mirage23–25-0.0828%25 Apr →
mirage10–0-0.0328%25 Apr →
nuke13–80.0028%25 Apr →
ancient13–100.0723%24 Apr →
mirage5–130.0417%24 Apr →
ancient16–12-0.0418%21 Apr →
mirage13–70.089%21 Apr →
nuke9–130.0515%19 Apr →
ancient13–90.0613%18 Apr →
nuke13–2-0.0428%17 Apr →
dust23–13-0.1029%17 Apr →
dust213–10.1240%11 Apr →
dust213–40.1628%11 Apr →
dust211–13-0.0614%11 Apr →
mirage13–7-0.0135%10 Apr →
mirage13–90.0120%5 Apr →
ancient13–6-0.0025%5 Apr →
anubis16–130.0016%5 Apr →
dust216–120.0222%4 Apr →
mirage13–10.1233%4 Apr →
dust211–130.0221%4 Apr →
mirage7–13-0.0332%3 Apr →
inferno13–110.0521%3 Apr →
ancient13–60.0819%3 Apr →
ancient9–13-0.0123%2 Apr →
dust213–30.0114%27 Mar →
dust26–13-0.0317%26 Mar →
mirage13–50.0522%26 Mar →
nuke13–40.0924%26 Mar →
dust213–16-0.0621%26 Mar →
nuke13–60.1227%26 Mar →
overpass15–150.0122%25 Mar →
mirage13–50.0226%24 Mar →
dust216–14-0.0420%21 Mar →
dust29–13-0.0216%21 Mar →
anubis13–110.0213%21 Mar →
mirage13–40.0525%21 Mar →
dust213–20.1120%21 Mar →
inferno16–130.0821%20 Mar →
nuke13–8-0.0727%20 Mar →
inferno13–80.0732%20 Mar →
mirage8–130.0825%20 Mar →
nuke10–130.0529%20 Mar →
ancient4–6-0.0118%20 Mar →
inferno13–8-0.0031%19 Mar →
mirage15–150.0421%15 Mar →
mirage6–13-0.0416%15 Mar →
anubis13–7-0.0625%15 Mar →
ancient13–20.0819%15 Mar →
inferno1–60.0738%14 Mar →
mirage13–30.1117%14 Mar →
ancient13–80.0928%14 Mar →
mirage1–4-0.0623%14 Mar →
ancient13–60.0820%13 Mar →
inferno13–90.0229%13 Mar →
mirage5–130.0328%13 Mar →
mirage11–13-0.0318%25 Feb →
vertigo7–13-0.0519%22 Feb →
overpass11–13-0.0417%21 Feb →
vertigo13–70.1417%15 Feb →
ancient9–13-0.009%13 Feb →
nuke10–13-0.0416%13 Feb →
ancient8–130.0328%13 Feb →
mirage8–130.1111%8 Feb →
mirage13–9-0.0310%7 Feb →
dust22–13-0.104%5 Feb →
anubis8–13-0.1117%3 Feb →
mirage9–13-0.0112%1 Feb →
mirage1–6-0.0518%1 Feb →
mirage2–13-0.0214%1 Feb →
ancient5–60.0812%1 Feb →
anubis13–90.0918%1 Feb →
mirage13–60.0016%1 Feb →
mirage13–30.0533%1 Feb →
ancient5–130.0227%31 Jan →
mirage13–100.1317%31 Jan →
anubis6–13-0.023%29 Jan →
mirage9–13-0.0417%26 Jan →
anubis13–70.0430%24 Jan →
mirage10–130.0118%24 Jan →
mirage13–70.0624%23 Jan →

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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