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Kuzzer — CS2 Stats

76561199559440130[U:1:1599174402]

449Tracked matches48%Win rate2023Tracked since
CSDB Rating2.6 Learning
Premier CS Rating16,384Purple band · top ~22.9% of ranked players (population est.)
CSDB Leaderboard#17362 of 30160 tracked
FaceitLevel 4 · 992 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKuzzerFACEITLevel 4 · 992 ELOSTANDINGTop 81.0% of rankedPREMIER16,384 · Purple bandcsdb.gg/stats

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Performance scores

Aim24
Positioning50
Utility7

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateLWLWWWWLWL

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

Player DNA

Aim2.4
Aggression6.0
Utility0.7
Positioning5.0
Opening Duels2.9
Clutch2.6

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

Twistzz

Plays most like Twistzz 70% playstyle similarity

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

Where you differ: lower utility contribution; 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 54% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 49% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.4
Positioning5.0
Utility0.7
Mechanics0.0
Opening Duels3.1
Win Impact4.4

Composite 2.6/10 (Learning), 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 rating-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time624ms−23ms
first ⅓ avg 647ms → last ⅓ avg 624ms
Headshot accuracy11.5%−0.6%
first ⅓ avg 12.1% → last ⅓ avg 11.5%

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

0.07Best rating — nuke 13–5
12–1Biggest win — ancient
10Longest win streak
6–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 54% over 13anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2912–1741%-0.05
nukeB168–850%-0.04
ancientB136–746%-0.04
infernoB137–654%-0.01
dust2B137–654%-0.04
anubisC83–538%-0.03
cacheB63–350%-0.05
overpass—11–0100%-0.03
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches
29%Win rate
0.71Avg K/D
74.0ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke40%0.8212.8
Train367%0.7811.3
Dust230%0.6010.3
Mirage333%0.6913.3
Vertigo10%0.5720.0
Overpass1100%0.909.0
Inferno10%0.6911.0
Anubis1100%0.478.0

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.

11.8%Headshot accuracy
31.0%Accuracy (enemy spotted)
32.1%Spray accuracy
49.5%Counter-strafing
11.6°Preaim
595msReaction time
28.9%T opening success
54.4%CT opening success
0.09Enemies flashed / flash
0.0%Flash assists
2.88HE damage / grenade
0.36Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.8307% — below the 15% mark we flag

    Aim Training →
  2. 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 0.0862 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 28.9338% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis1–8-0.0714%27 Aug →
anubis13–7-0.0711%26 Aug →
mirage1–3-0.110%26 Aug →
ancient13–11-0.0320%26 Aug →
mirage13–9-0.0414%25 Aug →
nuke13–50.0715%25 Aug →
mirage13–7-0.0913%25 Aug →
anubis5–13-0.0514%24 Aug →
cache13–11-0.0416%24 Aug →
nuke4–13-0.078%24 Aug →
anubis15–15-0.0111%19 Aug →
ancient12–1-0.0317%19 Aug →
mirage13–30.019%19 Aug →
nuke3–13-0.045%19 Aug →
cache10–13-0.066%19 Aug →
inferno13–4-0.0510%19 Aug →
nuke10–13-0.0615%18 Aug →
anubis13–6-0.0315%18 Aug →
inferno10–130.009%17 Aug →
mirage13–6-0.0111%17 Aug →
cache13–3-0.0915%17 Aug →
inferno9–13-0.0014%17 Aug →
inferno3–13-0.079%16 Aug →
ancient2–13-0.0713%16 Aug →
cache10–13-0.0410%16 Aug →
mirage10–13-0.029%13 Aug →
mirage11–13-0.0511%13 Aug →
mirage5–13-0.0716%13 Aug →
anubis16–140.0113%9 Aug →
nuke13–5-0.076%7 Aug →
cache13–30.0013%7 Aug →
dust213–5-0.089%7 Aug →
mirage13–50.0014%7 Aug →
mirage13–4-0.0414%7 Aug →
nuke13–8-0.0818%7 Aug →
ancient13–3-0.0310%7 Aug →
dust213–8-0.0213%7 Aug →
nuke13–30.037%7 Aug →
inferno4–13-0.0218%7 Aug →
dust213–60.009%7 Aug →
mirage7–13-0.072%7 Aug →
dust28–13-0.044%7 Aug →
cache14–16-0.0710%6 Aug →
dust213–7-0.098%6 Aug →
nuke4–13-0.0614%3 Aug →
dust210–13-0.0422%3 Aug →
inferno13–9-0.017%3 Aug →
dust213–60.0514%3 Aug →
ancient5–13-0.0613%2 Aug →
dust26–13-0.078%2 Aug →
mirage5–13-0.078%2 Aug →
mirage5–13-0.0531%30 Jul →
nuke2–13-0.120%29 Jul →
nuke13–2-0.0013%28 Jul →
ancient13–60.037%28 Jul →
inferno13–70.0211%28 Jul →
nuke6–13-0.118%28 Jul →
mirage13–9-0.0212%28 Jul →
mirage0–13-0.100%27 Jul →
anubis2–13-0.0221%27 Jul →
inferno13–5-0.0113%27 Jul →
mirage13–9-0.0111%27 Jul →
inferno16–14-0.028%27 Jul →
dust24–13-0.0412%27 Jul →
mirage10–13-0.0210%27 Jul →
ancient4–130.0617%26 Jul →
ancient3–13-0.079%26 Jul →
ancient13–50.015%24 Jul →
nuke13–10-0.076%22 Jul →
nuke8–13-0.086%20 Jul →
dust216–13-0.0117%19 Jul →
ancient2–13-0.1119%19 Jul →
anubis11–13-0.0116%16 Jul →
inferno13–20.0216%15 Jul →
mirage13–10-0.0310%15 Jul →
mirage13–4-0.095%15 Jul →
mirage4–13-0.150%15 Jul →
nuke6–130.0115%15 Jul →
mirage16–14-0.0713%17 May →
nuke13–4-0.0024%16 May →
inferno13–16-0.056%16 May →
mirage13–100.0118%15 May →
inferno11–13-0.0314%14 May →
ancient3–13-0.049%14 May →
mirage10–13-0.0219%5 May →
mirage1–13-0.127%5 May →
ancient5–13-0.098%5 Apr →
ancient13–7-0.0713%30 Mar →
dust213–4-0.0115%11 Mar →
mirage5–13-0.0510%7 Mar →
inferno13–20.067%26 Feb →
dust28–13-0.0917%25 Feb →
mirage8–13-0.037%22 Feb →
nuke13–9-0.0019%21 Feb →
mirage3–13-0.0210%21 Feb →
overpass13–11-0.0312%18 Feb →
mirage5–13-0.0221%17 Feb →
vertigo6–13-0.0212%17 Feb →
mirage1–13-0.0516%17 Feb →
dust211–13-0.0810%17 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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