F1veStar1 — CS2 Stats

76561198863806859[U:1:903541131]✓ No bans

1,014Tracked matches41%Win rate2020Tracked since
4,888Hours in CS9Hrs last 2 wks
CSDB Rating4.6 DevelopingHybrid Rifler
FaceitLevel 9 · 1,844 ELOTop 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
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 rate53.1%48.5%51.9%above
Shot accuracy15.5%13.3%13.7%above
Kill/death ratio0.791.071.080.30 short
Match win rate47.1%47.0%48.7%1.6% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

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.GGF1veStar1FACEITLevel 9 · 1,844 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning48
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY48502Last 10048%Win rateLWWWLWLWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression5.5
Utility4.9
Positioning4.8
Opening Duels1.2
Clutch4.0

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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Areas to improve

Reaction time. 611ms 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

Aim6.3
Positioning4.8
Utility4.9
Mechanics5.9
Opening Duels1.2
Win Impact2.1

Composite 4.6/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time613ms−16ms
first ⅓ avg 629ms → last ⅓ avg 613ms
Headshot accuracy18.5%+0.5%
first ⅓ avg 18.1% → 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.

Highlights

0.15Best rating — mirage 13–10
131Biggest win — dust2
8Longest win streak
910In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 58% over 19infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC27121544%0.01
ancientA2112957%0.00
anubisA1911858%0.01
dust2C1881044%0.01
infernoD102820%-0.02
overpass21150%-0.03
nuke110100%0.01
train110100%0.00
vertigo1010%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

149,044Lifetime kills
0.79K/D
5,056Matches
47.1%Match win rate · Top 50% of Level 9 players
53.1%Headshot % · Top 50% of Level 9 players
15.5%Shot accuracy · Top 50% of Level 9 players
20,666MVPs
14,967Hours (in match)
3,248Bombs planted
1,378Bombs defused

Most-used weapons

AK-4761,294
AWP15,993
FAMAS2,836
Knife2,290
AUG1,809

Lifetime map wins

10,545inferno
7,696dust2
1,252train
964vertigo
735nuke
196cbble
102office
91lake

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

Faceit stats

Combat

1,987Matches
51%Win rate
0.99Avg K/D
77.0ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage22055%0.9514.7
Anubis17749%1.0115.6
Ancient15851%1.0616.7
Dust212650%1.0216.0
Inferno7450%0.9815.7
Overpass1644%1.1117.9
Nuke933%0.9013.1
Vertigo633%1.1520.0

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.

18.8%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.9%Spray accuracy
76.5%Counter-strafing
9.4°Preaim
611msReaction time
33.2%T opening success
36.4%CT opening success
0.40Enemies flashed / flash
6.5%Flash assists
8.18HE damage / grenade
7.25Flashes / 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. 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 0.3994 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 33.234% — below the 40% mark we flag

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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0418%9 Aug
mirage13–11-0.1012%9 Aug
dust213–90.0413%23 Jul
dust213–110.0315%14 Jul
dust24–13-0.0812%5 Jul
ancient13–100.1121%30 Jun
anubis11–130.0318%27 Jun
anubis13–60.0017%17 Jun
anubis11–13-0.038%15 Jun
ancient22–19-0.0114%14 Jun
mirage4–13-0.0917%13 Jun
ancient6–13-0.0716%13 Jun
ancient13–8-0.0220%12 Jun
ancient6–13-0.0930%9 Jun
dust29–13-0.0219%30 May
inferno10–13-0.0011%26 May
anubis13–90.0817%26 May
anubis5–130.0320%22 May
mirage13–8-0.0312%21 May
ancient8–130.0126%19 May
dust211–13-0.0217%14 May
dust213–110.0923%23 Apr
ancient13–50.0230%13 Apr
inferno12–16-0.0224%5 Apr
anubis13–80.0531%12 Mar
ancient15–150.0218%4 Mar
mirage10–130.0421%4 Feb
dust211–130.0523%30 Jan
mirage6–13-0.0418%22 Jan
dust24–13-0.0332%6 Jan
mirage5–13-0.0014%3 Jan
mirage8–13-0.088%31 Dec
dust22–13-0.0417%26 Dec
ancient19–17-0.0415%25 Dec
mirage8–13-0.0212%24 Dec
inferno16–120.0114%16 Dec
mirage13–20.1114%9 Dec
dust29–130.0416%2 Dec
ancient8–130.0023%2 Dec
dust22–13-0.0213%21 Nov
mirage11–13-0.0230%10 Nov
dust29–130.0717%7 Nov
ancient13–90.0342%30 Oct
dust213–9-0.0221%7 Aug
overpass15–15-0.0312%4 Aug
mirage13–60.1318%27 Jul
mirage13–40.0314%25 Jul
overpass13–2-0.0312%19 Jul
inferno5–13-0.0915%10 Jul
anubis11–130.0211%5 Jul
anubis14–16-0.0219%18 Apr
mirage13–9-0.0021%4 Apr
anubis13–9-0.018%28 Mar
anubis13–3-0.0410%17 Mar
nuke13–80.0125%17 Mar
anubis13–90.0128%15 Mar
dust213–6-0.0219%13 Mar
anubis16–14-0.0217%7 Mar
train19–150.008%2 Mar
dust26–130.0125%1 Mar
ancient16–12-0.0035%12 Feb
ancient13–70.0517%9 Feb
mirage10–13-0.0319%1 Feb
ancient2–13-0.075%29 Jan
anubis10–13-0.0619%19 Jan
ancient7–13-0.046%4 Jan
inferno29–31-0.0314%29 Dec
inferno3–13-0.0311%28 Dec
dust213–10.0419%28 Dec
dust213–110.0020%28 Dec
anubis16–140.0412%25 Dec
anubis16–130.0316%14 Dec
mirage13–30.0820%3 Nov
mirage9–130.0312%27 Oct
ancient13–50.068%27 Oct
inferno4–9-0.0824%27 Jun
anubis4–13-0.0018%1 Jun
mirage13–110.0113%27 Apr
dust27–2-0.0145%27 Apr
mirage7–130.030%12 Apr
vertigo7–130.0215%5 Apr
mirage13–100.1531%8 Mar
ancient13–70.0321%8 Mar
mirage10–130.0517%8 Mar
mirage9–13-0.0520%29 Feb
mirage16–140.0121%25 Feb
mirage3–130.0111%14 Feb
ancient4–13-0.0629%10 Feb
mirage9–13-0.0219%7 Feb
inferno13–30.0618%1 Feb
mirage9–13-0.0621%30 Jan
inferno19–220.0123%30 Jan
mirage13–80.029%29 Jan
inferno11–13-0.0313%25 Jan
anubis13–80.0516%25 Jan
anubis7–13-0.0315%23 Jan
ancient13–70.0624%23 Jan
anubis13–90.0118%23 Jan
ancient13–60.0619%23 Jan
mirage13–20.0416%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 →