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Kenzo — CS2 Stats

76561198014966524[U:1:54700796]

887Tracked matches63%Win rate2020Tracked since
CSDB Rating6.8 SolidAggressive Rifler
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGKenzoFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning61
Utility69

0–100 skill scores via Leetify.

Recent form

HOT58–42Last 10058%Win rateWLWWLWWWLW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

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

Aim7.5
Aggression7.6
Utility6.9
Positioning6.1
Opening Duels3.3
Clutch4.6

Strong 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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Areas to improve

T-side openings. Opening success drops from 51% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim7.5
Positioning6.1
Utility6.9
Mechanics6.5
Opening Duels3.3
Win Impact9.4

Composite 6.8/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time580ms−2ms
first ⅓ avg 581ms → last ⅓ avg 580ms
Headshot accuracy21.5%+2.0%
first ⅓ avg 19.5% → last ⅓ avg 21.5%

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

0.21Best rating — cache 13–4
13–0Biggest win — ancient
8Longest win streak
8–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 69% over 32infernoWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
mirageS3222–1069%0.01
ancientA2717–1063%0.01
infernoD174–1324%-0.01
dust2C146–843%-0.01
overpass—44–0100%0.06
cache—33–0100%0.09
train—22–0100%0.02
nuke—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,652Matches
54%Win rate
1.14Avg K/D
82.6ADR
40%Headshot %

Clutches & streaks

43%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage9657%1.1415.7
Ancient8556%1.1717.5
Dust23847%0.9516.5
Anubis2934%0.9916.0
Overpass2669%1.1516.4
Inferno2040%1.2918.6
Vertigo1242%1.0515.4
Nuke911%1.1518.4

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.

21.5%Headshot accuracy
33.8%Accuracy (enemy spotted)
39.1%Spray accuracy
79.3%Counter-strafing
9.4°Preaim
578msReaction time
34.7%T opening success
51.4%CT opening success
0.66Enemies flashed / flash
14.7%Flash assists
10.72HE damage / grenade
10.26Flashes / 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 34.7438% — 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.

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0520%30 Jul →
ancient10–130.0838%30 Jul →
ancient13–10-0.0317%16 Jul →
dust213–9-0.0018%16 Jul →
inferno4–130.0228%16 Jul →
cache13–40.2112%16 Jul →
mirage13–80.0525%16 Jul →
ancient13–80.0024%9 Jul →
inferno5–13-0.0430%22 Jun →
mirage13–60.0424%22 Jun →
mirage13–3-0.035%22 Jun →
mirage13–70.0210%18 Jun →
mirage11–130.0314%18 Jun →
ancient8–130.0513%17 Jun →
inferno2–13-0.1060%17 Jun →
ancient13–110.0124%16 Jun →
mirage13–10-0.0124%16 Jun →
mirage9–13-0.0123%16 Jun →
inferno10–13-0.0215%13 Jun →
mirage9–13-0.0121%13 Jun →
dust26–13-0.0119%12 Jun →
mirage13–40.1322%12 Jun →
ancient13–00.0211%9 Jun →
inferno13–00.0321%9 Jun →
dust26–13-0.0433%8 Jun →
ancient16–140.0819%8 Jun →
dust213–80.0434%5 Jun →
cache13–60.0615%5 Jun →
mirage13–40.0314%5 Jun →
inferno13–5-0.0513%28 May →
mirage13–30.0231%28 May →
mirage13–20.0617%22 May →
cache13–30.0115%8 May →
inferno10–130.0026%13 Jul →
dust27–13-0.0316%13 Jul →
mirage13–3-0.046%13 Jul →
inferno14–16-0.0030%12 Jul →
ancient13–110.0318%12 Jul →
ancient13–20.0712%9 Jul →
mirage13–3-0.0224%9 Jul →
dust28–13-0.0533%9 Jul →
ancient13–30.0218%9 Jul →
mirage5–13-0.0220%7 Jul →
ancient16–140.0211%4 Jul →
inferno8–13-0.090%4 Jul →
ancient13–5-0.0413%3 Jul →
mirage13–50.0814%3 Jul →
dust213–70.0221%3 Jul →
dust211–13-0.0425%22 Jun →
mirage13–70.0727%21 Jun →
ancient11–13-0.049%21 Jun →
mirage13–6-0.0313%21 Jun →
dust213–110.0217%21 Jun →
mirage13–60.0725%21 Jun →
nuke15–19-0.0221%17 Jun →
mirage13–6-0.0110%17 Jun →
mirage7–130.0118%17 Jun →
ancient5–130.0219%8 Jun →
inferno13–80.0317%31 May →
overpass13–30.0420%31 May →
ancient2–130.0316%31 May →
train13–30.0617%31 May →
ancient13–60.0227%31 May →
dust26–13-0.0814%30 May →
ancient8–13-0.1110%30 May →
ancient13–70.0615%26 May →
mirage13–30.0617%26 May →
overpass13–60.1130%7 May →
inferno10–130.0717%1 May →
dust213–6-0.0330%1 May →
mirage3–13-0.0326%1 May →
inferno2–13-0.0217%29 Apr →
mirage5–13-0.0620%29 Apr →
mirage13–50.0529%27 Apr →
overpass13–30.0118%27 Apr →
inferno3–13-0.0214%27 Apr →
ancient7–130.0120%26 Apr →
mirage10–130.0314%26 Apr →
ancient5–13-0.0525%26 Apr →
dust29–130.0728%26 Apr →
mirage9–13-0.0015%26 Apr →
ancient19–17-0.0217%14 Apr →
train13–3-0.026%14 Apr →
inferno10–13-0.0319%13 Apr →
inferno4–130.0529%13 Apr →
overpass13–110.0717%13 Apr →
dust213–90.0530%13 Apr →
ancient8–13-0.0219%13 Apr →
mirage10–130.0115%13 Apr →
mirage13–4-0.0114%13 Apr →
ancient13–60.0213%13 Apr →
mirage13–80.0311%12 Apr →
mirage13–3-0.0230%11 Apr →
ancient11–13-0.0117%11 Apr →
inferno13–8-0.0214%11 Apr →
ancient16–13-0.0111%9 Apr →
inferno4–130.019%9 Mar →
ancient13–110.0328%26 Jan →
ancient13–80.0421%29 Dec →
dust210–13-0.0420%28 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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