Unlucky._.

Unlucky._. — CS2 Stats

76561199014781614[U:1:1054515886]Steam profile ↗

2,560Tracked matches43%Win rate2021Tracked since
4,043Hours in CS1Hrs last 2 wks
CSDB Rating6.1 SolidAggressive Rifler
FaceitLevel 9 · 1,764 ELOTop 20.7% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), 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 9 medianLevel 10 medianvs Level 10
Headshot rate49.6%48.5%51.9%2.4% short
Shot accuracy12.6%13.3%13.7%1.1% short
Kill/death ratio0.941.071.080.15 short
Match win rate46.5%47.0%48.7%2.2% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGUnlucky._.FACEITLevel 9 · 1,764 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning59
Utility58

0–100 skill scores via Leetify.

Recent form

COLD3664Last 10036%Win rateLLLWWLWLLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression8.0
Utility5.8
Positioning5.9
Opening Duels4.2
Clutch3.4

Excellent counter-strafingStrong CT-side opener

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

donk

Plays most like donk 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim7.9
Positioning5.9
Utility5.8
Mechanics8.5
Opening Duels4.2
Win Impact2.8

Composite 6.1/10 (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 rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time616ms+28ms
first ⅓ avg 589ms → last ⅓ avg 616ms
Headshot accuracy23.0%−0.5%
first ⅓ avg 23.6% → last ⅓ avg 23.0%

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.

Highlights

0.12Best rating — ancient 13–6
132Biggest win — ancient
4Longest win streak
L3Current streak
313In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 67% over 18nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageD2992031%-0.02
infernoC1971237%-0.01
ancientS1812667%0.01
dust2D134931%-0.02
nukeD81713%-0.02
anubisC73443%-0.01
overpass3030%0.00
train2020%-0.01
vertigo1010%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,413Lifetime kills
0.94K/D
5,002Matches
46.5%Match win rate
49.6%Headshot % · Top 50% of Level 9 players
12.6%Shot accuracy
13,048MVPs
2,091Hours (in match)
3,448Bombs planted
1,142Bombs defused

Most-used weapons

AK-4732,583
AWP13,755
Knife2,439
SSG 081,954
FAMAS1,937

Lifetime map wins

9,375inferno
7,289dust2
4,285nuke
3,889vertigo
995train
117lake
36cbble
16ar_shoots

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

Faceit stats

Combat

3,051Matches
50%Win rate
0.94Avg K/D
76.3ADR
51%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage61846%0.9314.7
Ancient38456%0.9415.1
Inferno26953%0.9215.3
Dust225947%0.9315.1
Anubis18843%0.9215.7
Nuke14251%0.9115.2
Vertigo8147%0.8514.1
Train3642%0.9614.9

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.

23.7%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.2%Spray accuracy
88.0%Counter-strafing
9.3°Preaim
602msReaction time
29.8%T opening success
64.0%CT opening success
0.61Enemies flashed / flash
5.1%Flash assists
6.54HE damage / grenade
11.71Flashes / 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 29.7977% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0216%30 Aug
mirage4–13-0.0522%14 Aug
ancient7–13-0.0213%14 Aug
ancient13–80.0630%14 Aug
anubis13–9-0.0117%8 Aug
vertigo5–13-0.0121%8 Aug
mirage13–70.0427%8 Aug
ancient9–13-0.0412%26 Jul
anubis8–13-0.0321%25 Jul
inferno2–13-0.0511%24 Jul
mirage7–13-0.0319%22 Jul
ancient13–90.0223%22 Jul
anubis13–100.0821%22 Jul
inferno10–13-0.0023%18 Jul
ancient13–60.1223%18 Jul
dust25–130.0028%18 Jul
nuke7–13-0.0619%17 Jul
mirage8–13-0.0229%16 Jul
anubis13–9-0.0520%25 Jun
ancient16–14-0.0041%10 Jun
mirage13–5-0.0024%10 Jun
mirage13–8-0.0227%10 Jun
inferno9–130.0026%18 May
mirage7–13-0.0626%17 May
ancient13–20.0320%16 May
nuke11–13-0.0123%2 May
nuke13–10-0.0226%29 Apr
inferno13–100.0140%11 Apr
mirage8–130.0134%9 Apr
nuke11–130.0421%9 Apr
mirage7–130.0423%26 Mar
dust213–80.0127%19 Feb
overpass6–130.0210%15 Feb
mirage5–13-0.1211%15 Feb
inferno17–190.0220%15 Feb
inferno7–13-0.0628%7 Feb
mirage8–13-0.0527%29 Jan
anubis11–130.0027%20 Jan
nuke8–13-0.0118%9 Jan
nuke4–13-0.0223%6 Jan
ancient8–13-0.0620%4 Jan
train8–130.0124%1 Jan
mirage10–13-0.0129%1 Jan
ancient13–30.0624%29 Dec
inferno13–11-0.0122%29 Dec
mirage8–130.0326%29 Dec
mirage13–50.0432%29 Dec
nuke9–13-0.0232%29 Dec
inferno8–13-0.0122%29 Dec
mirage10–13-0.0118%27 Dec
inferno11–130.0621%26 Dec
nuke8–13-0.0536%26 Dec
mirage9–13-0.0519%23 Dec
inferno16–13-0.0415%23 Dec
overpass18–22-0.0627%22 Dec
mirage2–13-0.0428%21 Dec
dust24–130.0112%21 Dec
dust210–13-0.0226%20 Dec
ancient13–100.0320%11 Dec
dust25–13-0.0426%11 Dec
ancient13–90.0118%4 Dec
ancient13–9-0.0113%30 Nov
ancient8–13-0.0724%14 Nov
inferno17–19-0.0026%7 Nov
mirage13–50.0618%5 Nov
ancient13–9-0.0311%31 Oct
inferno13–10-0.0523%17 Oct
dust28–13-0.0321%6 Aug
overpass11–130.0518%30 Jul
mirage13–9-0.0647%24 Jul
dust213–30.0630%23 Jul
inferno9–13-0.0821%18 Jul
ancient8–13-0.0514%12 Jul
ancient13–110.0119%8 Jul
mirage1–13-0.0547%8 Jul
anubis12–16-0.0722%7 Jul
mirage13–5-0.0013%7 Jul
inferno8–13-0.0346%5 Jul
mirage13–80.0124%5 Jul
mirage8–13-0.0322%4 Jul
inferno13–70.1135%26 Jun
train9–13-0.0429%26 Jun
inferno13–9-0.0321%25 Jun
mirage13–100.0231%24 Jun
inferno8–130.0111%21 Jun
mirage11–13-0.0232%21 Jun
anubis11–13-0.0114%21 Jun
inferno16–12-0.0515%15 Jun
mirage9–13-0.0926%10 Jun
ancient13–30.1120%7 Jun
dust213–90.0120%6 Jun
ancient14–16-0.009%1 Jun
mirage14–16-0.042%29 May
dust24–13-0.0729%27 May
dust27–13-0.0317%26 May
dust27–13-0.0433%26 May
dust213–10-0.0338%26 May
dust25–13-0.0515%26 May
mirage11–13-0.0412%25 May
mirage7–130.0327%25 May

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 →