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𝔽𝔹𝕆𝔸

𝔽𝔹𝕆𝔸 β€” CS2 Stats

76561199202495529[U:1:1242229801]Steam profile β†—βœ“ No bans

2,410Tracked matches46%Win rate2022Tracked since
2,940Hours in CS2Hrs last 2 wks
CSDB Rating5.8 SolidAggressive Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate53.3%42.7%44.0%above
Shot accuracy9.4%10.8%11.6%2.2% short
Kill/death ratio1.061.001.03above
Match win rate36.6%44.1%45.1%8.5% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms β€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG𝔽𝔹𝕆𝔸FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim72
Positioning55
Utility47

0–100 skill scores via Leetify.

Recent form

COLD48–43–9Last 10048%Win rateWLLLLTWWLL

Last 10 vs previous 10: -30pp win rate Β· +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler β€” Takes opening fights often, backed by a strong aim profile.

Aim7.2
Aggression8.6
Utility4.7
Positioning5.5
Opening Duels3.3

Limited utility dependence

Style profile from tracked-match aggregates β€” how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency; lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.2
Positioning5.5
Utility4.7
Mechanics7.5
Opening Duels3.3
Win Impact3.8

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (Γ—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02βˆ’0.01
first β…“ avg 0.03 β†’ last β…“ avg 0.02
Reaction time635msβˆ’3ms
first β…“ avg 638ms β†’ last β…“ avg 635ms
Headshot accuracy15.6%βˆ’3.1%
first β…“ avg 18.7% β†’ last β…“ avg 15.6%

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

0.18Best rating β€” overpass 8–8
13–1Biggest win β€” cache
10Longest win streak
3–7In matches decided by ≀2 rounds
1Overtime games

Map breakdown

mirageBest map Β· 67% over 9dust2Weakest map Β· 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA2011–955%0.06
cacheC208–1240%0.01
nukeB158–753%0.01
mirageS96–367%0.02
vertigoC83–538%0.03
ancientA74–357%0.02
dust2D61–517%0.02
overpassβ€”41–325%0.02
trainβ€”32–167%0.04
agencyβ€”32–167%0.09
officeβ€”21–150%0.03
alpineβ€”20–20%-0.08
grailβ€”11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

118,935Lifetime kills
1.06K/D Β· Top 50% of Level 4 players
5,439Matches
36.6%Match win rate
53.3%Headshot % Β· Top 25% of Level 4 players
9.4%Shot accuracy
10,760MVPs
2,049Hours (in match)
3,150Bombs planted
1,011Bombs defused

Most-used weapons

AK-4769,606
M4A4 / M4A1-S14,773
AWP6,621
Desert Eagle6,068
P2000 / USP-S4,441
Glock-183,685
MP92,355
MAC-101,700
FAMAS1,493
SSG 081,171

Lifetime map wins

4,989inferno
4,809nuke
3,300dust2
3,000vertigo
996office
824train
390cbble
123italy

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

Faceit stats

Combat

48Matches
54%Win rate
1.24Avg K/D
β€”ADR
39%Headshot %

Clutches & streaks

β€”1v1 clutch win
β€”1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1233%0.9414.4
Vertigo956%1.6018.0
Inferno862%1.3416.3
Ancient667%1.3721.5
Overpass683%0.9914.2
Nuke450%1.6316.0
Anubis250%0.9918.0

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.5%Headshot accuracy
35.3%Accuracy (enemy spotted)
40.0%Spray accuracy
83.9%Counter-strafing
9.0Β°Preaim
623msReaction time
44.7%T opening success
41.4%CT opening success
0.51Enemies flashed / flash
7.8%Flash assists
12.27HE damage / grenade
4.51Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games β€” your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy β†’Dust 2 grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
nuke13–7-0.0424%19 Aug β†’
inferno11–130.0617%19 Aug β†’
dust211–130.1215%1 Aug β†’
cache3–13-0.0015%1 Aug β†’
inferno5–130.0019%21 Jul β†’
cache12–120.0118%5 Jul β†’
inferno13–70.1117%7 Jun β†’
nuke8–10.065%20 May β†’
cache6–13-0.0220%17 May β†’
office3–13-0.028%17 May β†’
cache13–8-0.0621%17 May β†’
cache6–130.0217%17 May β†’
cache13–7-0.0220%17 May β†’
cache13–70.0814%17 May β†’
inferno13–50.019%17 May β†’
overpass13–3-0.007%17 May β†’
vertigo12–120.0510%17 May β†’
cache9–130.0210%13 May β†’
cache13–4-0.0213%13 May β†’
cache5–13-0.0620%5 May β†’
cache6–130.0420%5 May β†’
cache8–13-0.0013%1 May β†’
cache11–130.0014%1 May β†’
cache6–130.0116%1 May β†’
cache13–10.1122%1 May β†’
cache13–50.1114%1 May β†’
cache13–30.1031%30 Apr β†’
cache13–11-0.0214%30 Apr β†’
cache8–130.007%30 Apr β†’
cache10–130.0113%30 Apr β†’
inferno13–100.1013%20 Mar β†’
mirage13–80.0616%20 Mar β†’
nuke10–13-0.0621%20 Mar β†’
alpine5–13-0.0930%21 Feb β†’
mirage4–13-0.0629%21 Feb β†’
inferno11–130.0717%21 Feb β†’
mirage11–13-0.0511%15 Feb β†’
overpass8–80.1824%5 Feb β†’
nuke3–9-0.0933%5 Feb β†’
inferno8–80.1320%5 Feb β†’
alpine3–13-0.0612%29 Jan β†’
inferno11–13-0.048%17 Nov β†’
train15–150.0815%16 Nov β†’
vertigo12–12-0.0117%8 Nov β†’
office13–50.0912%8 Nov β†’
vertigo11–13-0.058%28 Oct β†’
nuke1–13-0.055%28 Oct β†’
inferno8–13-0.0123%21 Sept β†’
inferno13–30.0816%21 Sept β†’
vertigo10–130.0317%21 Sept β†’
ancient13–80.1512%16 Sept β†’
overpass4–13-0.0316%16 Sept β†’
mirage13–30.0739%9 Sept β†’
nuke13–10-0.0020%6 Sept β†’
grail13–60.0411%6 Sept β†’
agency13–70.1322%6 Sept β†’
agency13–40.0828%6 Sept β†’
mirage13–11-0.0220%6 Sept β†’
train13–70.0513%3 Sept β†’
mirage13–5-0.0211%3 Sept β†’
nuke13–70.0613%3 Sept β†’
inferno13–70.0224%3 Sept β†’
inferno7–130.0824%2 Sept β†’
mirage7–130.0817%26 Aug β†’
inferno13–100.0820%26 Aug β†’
dust27–130.0318%26 Aug β†’
ancient13–70.0322%26 Aug β†’
nuke13–20.1222%26 Aug β†’
inferno7–130.0225%25 Aug β†’
inferno13–100.0628%25 Aug β†’
vertigo4–130.0912%25 Aug β†’
ancient1–9-0.0818%25 Aug β†’
nuke6–130.0018%25 Aug β†’
dust212–12-0.0810%15 Aug β†’
dust212–120.0424%12 Aug β†’
ancient2–13-0.029%12 Aug β†’
train12–8-0.0028%12 Aug β†’
vertigo13–30.0716%12 Aug β†’
mirage13–40.0510%12 Aug β†’
dust29–13-0.0314%12 Aug β†’
ancient13–70.0223%11 Aug β†’
nuke7–130.0312%11 Aug β†’
nuke13–100.0715%11 Aug β†’
inferno13–110.1422%11 Aug β†’
ancient9–13-0.0413%11 Aug β†’
inferno13–60.1224%11 Aug β†’
nuke10–130.0520%11 Aug β†’
inferno12–120.0311%8 Aug β†’
nuke13–9-0.0320%8 Aug β†’
agency6–130.0616%8 Aug β†’
overpass3–13-0.0621%8 Aug β†’
dust213–70.0116%8 Aug β†’
vertigo13–9-0.0317%25 Jul β†’
nuke13–40.0632%25 Jul β†’
inferno13–100.015%9 Jul β†’
vertigo13–50.1118%9 Jul β†’
mirage13–50.0923%9 Jul β†’
nuke4–10-0.0329%25 Jun β†’
ancient13–80.0530%24 Jun β†’
inferno13–30.0616%24 Jun β†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’

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