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4TAYLORπŸ‘‘

4TAYLORπŸ‘‘ β€” CS2 Stats

76561198852710277[U:1:892444549]Steam profile β†—βœ“ No bans

7,276Tracked matches43%Win rate2020Tracked since
8,109Hours in CS
CSDB Rating7.0 StrongAggressive Rifler
FaceitLevel 10 Β· 3,529 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate52.1%52.8%
Shot accuracy12.2%13.7%
Kill/death ratio1.121.08
Match win rate58.4%49.2%

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CSDB.GG4TAYLORπŸ‘‘FACEITLevel 10 Β· 3,529 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere β€” it is generated in your browser when you click.

Performance scores

Aim88
Positioning65
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLLWWWWWLLL

Last 10 vs previous 10: +20pp win rate Β· -0.00 avg rating

Player DNA

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

Aim8.8
Aggression8.5
Utility5.9
Positioning6.5
Opening Duels4.5
Clutch4.6

Sharp aimerStrong CT-side opener

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

donk

Plays most like donk 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

Aim. Aim score of 88 β€” the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success β€” winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 35% on T β€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim8.8
Positioning6.5
Utility5.9
Mechanics7.2
Opening Duels4.5
Win Impact2.8

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (Γ—1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03
first β…“ avg 0.02 β†’ last β…“ avg 0.05
Reaction time560ms+25ms
first β…“ avg 534ms β†’ last β…“ avg 560ms
Headshot accuracy28.9%+3.2%
first β…“ avg 25.7% β†’ last β…“ avg 28.9%

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.

Highlights

0.19Best rating β€” dust2 13–4
13–0Biggest win β€” dust2
9Longest win streak
L2Current streak
6–2In matches decided by ≀2 rounds
9Overtime games

Map breakdown

cacheBest map Β· 63% over 8infernoWeakest map Β· 45% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B3216–1650%0.03
mirageB2512–1348%0.01
ancientA159–660%0.02
infernoB115–645%0.03
cacheA85–363%0.04
nukeA53–260%0.01
anubisβ€”32–167%0.02
overpassβ€”11–0100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

333,357Lifetime kills
1.12K/D Β· Top 50% of Level 10 players
9,720Matches
58.4%Match win rate Β· Top 5% of Level 10 players
52.1%Headshot %
12.2%Shot accuracy
39,796MVPs
8,109Hours (in match)
17,408Bombs planted
3,395Bombs defused

Most-used weapons

AK-47132,512
M4A4 / M4A1-S55,910
AWP33,429
Desert Eagle26,952
P2000 / USP-S19,020
Glock-1810,796
Knife8,618
MP96,821
Galil AR6,115
FAMAS5,518

Lifetime map wins

24,916dust2
20,635inferno
5,531vertigo
4,340train
4,024nuke
481cbble
37lake
16sugarcane

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

Faceit stats

Combat

8,486Matches
55%Win rate
1.25Avg K/D
91.8ADR
51%Headshot %

Clutches & streaks

43%1v1 clutch win
27%1v2 clutch win
19Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage142455%1.2518.4
Dust288358%1.2518.6
Ancient69157%1.1917.8
Anubis44152%1.1217.6
Inferno10856%1.1917.0
Nuke10051%1.0816.9
Overpass8359%1.2718.4
Vertigo8151%1.0116.2

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.

29.1%Headshot accuracy
36.2%Accuracy (enemy spotted)
35.8%Spray accuracy
82.3%Counter-strafing
8.5Β°Preaim
562msReaction time
35.0%T opening success
61.3%CT opening success
0.59Enemies flashed / flash
6.5%Flash assists
7.01HE damage / grenade
11.25Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 35.0108% β€” below the 40% mark we flag

Spend your practice time on Inferno

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

45% win rate across 11 tracked games β€” your weakest map with enough games to be worth reading into.

Inferno callouts & strategy β†’Inferno grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
dust28–130.0435%28 Aug β†’
dust28–130.0438%28 Aug β†’
dust213–40.0932%27 Aug β†’
ancient13–60.0340%27 Aug β†’
anubis13–60.0321%26 Aug β†’
dust213–40.1920%26 Aug β†’
cache13–110.0633%25 Aug β†’
dust24–130.0137%22 Aug β†’
mirage10–130.0024%22 Aug β†’
mirage10–130.0521%22 Aug β†’
cache13–50.0533%22 Aug β†’
ancient11–130.0634%21 Aug β†’
cache1–13-0.0216%15 Aug β†’
dust28–130.1640%15 Aug β†’
inferno3–130.1346%15 Aug β†’
ancient13–80.0227%12 Aug β†’
mirage16–190.0629%7 Aug β†’
dust28–130.0328%6 Aug β†’
mirage13–10.0226%5 Aug β†’
dust29–130.0526%5 Aug β†’
dust26–130.0027%5 Aug β†’
dust213–00.0921%5 Aug β†’
inferno19–160.0520%4 Aug β†’
dust213–90.0534%3 Aug β†’
ancient6–13-0.0521%3 Aug β†’
mirage10–130.0225%2 Aug β†’
dust213–7-0.0129%2 Aug β†’
inferno8–130.1036%1 Aug β†’
cache10–13-0.0423%31 Jul β†’
ancient13–50.1134%31 Jul β†’
ancient10–13-0.0125%30 Jul β†’
cache13–20.1421%9 Jul β†’
ancient13–90.0531%6 Jul β†’
mirage6–13-0.0820%6 Jul β†’
nuke10–130.0133%6 Jul β†’
mirage13–160.0123%1 Jul β†’
inferno13–80.0426%30 Jun β†’
mirage13–70.0330%30 Jun β†’
dust213–100.0419%29 Jun β†’
inferno8–130.0422%28 Jun β†’
ancient13–50.0434%28 Jun β†’
ancient13–70.0825%27 Jun β†’
anubis13–110.0528%25 Jun β†’
cache13–90.0518%25 Jun β†’
dust213–9-0.0423%25 Jun β†’
dust213–9-0.0220%23 Jun β†’
inferno13–40.0724%23 Jun β†’
dust213–90.0635%23 Jun β†’
cache13–30.0026%23 Jun β†’
dust210–13-0.0611%23 Jun β†’
ancient13–6-0.0620%23 Jun β†’
dust29–130.0220%22 Jun β†’
inferno4–13-0.027%22 Jun β†’
dust26–13-0.0326%22 Jun β†’
inferno13–80.0418%21 Jun β†’
dust213–70.0121%21 Jun β†’
dust213–6-0.0413%20 Jun β†’
mirage9–13-0.0316%20 Jun β†’
mirage2–13-0.0629%20 Jun β†’
nuke13–30.0330%20 Jun β†’
inferno4–13-0.0814%20 Jun β†’
dust213–5-0.0533%20 Jun β†’
dust26–130.0018%15 Jun β†’
inferno13–100.0230%15 Jun β†’
nuke13–80.0122%15 Jun β†’
mirage13–11-0.0123%14 Jun β†’
mirage8–13-0.049%13 Jun β†’
nuke6–13-0.0225%13 Jun β†’
overpass13–80.0812%12 Jun β†’
mirage11–13-0.0119%10 Jun β†’
mirage16–140.0022%10 Jun β†’
mirage13–9-0.0218%10 Jun β†’
mirage13–100.0329%10 Jun β†’
ancient8–13-0.0227%10 Jun β†’
mirage4–13-0.0615%10 Jun β†’
dust213–110.0627%9 Jun β†’
ancient7–13-0.0329%9 Jun β†’
dust213–16-0.0024%9 Jun β†’
ancient22–190.0630%9 Jun β†’
inferno5–13-0.0432%9 Jun β†’
dust210–13-0.0229%9 Jun β†’
dust24–7-0.0324%8 Jun β†’
ancient10–130.0051%8 Jun β†’
dust213–100.0318%7 Jun β†’
mirage13–50.0317%7 Jun β†’
mirage13–50.0317%7 Jun β†’
mirage13–11-0.0123%6 Jun β†’
dust213–90.1031%5 Jun β†’
ancient13–30.0238%5 Jun β†’
anubis6–13-0.0223%5 Jun β†’
mirage16–120.0328%4 Jun β†’
dust213–80.1024%4 Jun β†’
mirage13–40.1022%4 Jun β†’
nuke19–160.0226%4 Jun β†’
cache10–130.0933%31 May β†’
mirage22–180.0415%31 May β†’
dust26–130.0228%31 May β†’
dust23–13-0.0530%30 May β†’
mirage6–13-0.0326%28 May β†’
mirage9–130.1036%28 May β†’

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
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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