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Zekkro — CS2 Stats

76561198970518876[U:1:1010253148]

2,189Tracked matches66%Win rate2020Tracked since
4,494Hours in CS12Hrs last 2 wks
CSDB Rating6.8 SolidAggressive Rifler
FaceitLevel 10 · 2,243 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=4,917), 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 10 median
Headshot rate51.6%51.9%
Shot accuracy9.5%13.7%
Kill/death ratio0.891.08
Match win rate47.1%48.7%

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CSDB.GGZekkroFACEITLevel 10 · 2,243 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning66
Utility41

0–100 skill scores via Leetify.

Recent form

HOT57–41–2Last 10057%Win rateWLWWWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

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

Aim8.1
Aggression8.5
Utility4.1
Positioning6.6
Opening Duels4.0
Clutch3.4

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

donk

Plays most like donk 90% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 58% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms 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

Aim8.1
Positioning6.6
Utility4.1
Mechanics7.1
Opening Duels4.0
Win Impact10.0

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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time597ms−60ms
first ⅓ avg 657ms → last ⅓ avg 597ms
Headshot accuracy26.8%−0.1%
first ⅓ avg 26.9% → last ⅓ avg 26.8%

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

0.12Best rating — vertigo 13–0
13–0Biggest win — vertigo
9Longest win streak
10–16In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 68% over 25nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
ancientS2517–868%-0.01
mirageB2311–1248%0.01
dust2S128–467%0.02
infernoA127–558%-0.01
nukeC83–538%-0.04
trainA53–260%0.00
overpassA53–260%0.03
anubisA53–260%-0.00
cache—31–233%-0.03
vertigo—11–0100%0.12
agency—10–10%0.07

Across the last 100 tracked matches.

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

Lifetime stats

101,299Lifetime kills
0.89K/D
5,187Matches
47.1%Match win rate
51.6%Headshot %
9.5%Shot accuracy
13,317MVPs
2,960Hours (in match)
5,330Bombs planted
1,773Bombs defused

Most-used weapons

AK-4735,145
M4A4 / M4A1-S20,520
AWP11,362
Desert Eagle5,984
P2000 / USP-S5,537
Glock-184,617
Knife3,541
Galil AR2,547
FAMAS2,288
MP91,924

Lifetime map wins

9,609dust2
8,972inferno
3,331nuke
2,797train
1,815vertigo
302cbble
130lake
20office

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

Faceit stats

Combat

3,869Matches
50%Win rate
0.96Avg K/D
75.8ADR
52%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
21Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage59155%1.0815.8
Ancient45455%1.0115.7
Dust230844%0.9915.4
Inferno20847%1.0015.1
Nuke17048%0.9815.2
Anubis14937%0.9314.8
Train5250%0.9815.1
Overpass3447%1.0415.1

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.

26.5%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.1%Spray accuracy
82.1%Counter-strafing
8.6°Preaim
584msReaction time
34.0%T opening success
57.7%CT opening success
0.34Enemies flashed / flash
3.2%Flash assists
7.52HE damage / grenade
8.79Flashes / 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 0.342 — 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 33.9985% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–80.0243%15 Aug →
inferno4–13-0.0430%4 Aug →
vertigo13–00.1227%30 Jul →
mirage13–50.0414%29 Jul →
dust216–120.0128%29 Jul →
ancient13–40.0227%21 Jul →
inferno13–40.0628%10 Jul →
dust213–60.0938%3 Jul →
ancient13–6-0.0026%29 Jun →
inferno13–6-0.039%29 Jun →
ancient13–5-0.0118%29 Jun →
nuke8–13-0.0225%26 Jun →
train12–12-0.0130%19 Jun →
ancient13–5-0.0321%13 Jun →
mirage10–13-0.0122%27 May →
ancient13–70.0026%23 May →
mirage13–70.0731%22 May →
inferno11–13-0.0024%14 May →
ancient16–130.0322%13 May →
overpass11–130.0431%13 May →
cache13–11-0.0120%11 May →
dust211–130.0228%10 May →
dust213–110.0223%8 May →
dust216–130.0224%30 Apr →
cache7–13-0.0120%30 Apr →
cache4–13-0.0738%25 Apr →
ancient14–16-0.0425%17 Apr →
anubis13–100.0829%8 Apr →
mirage13–20.0236%27 Mar →
ancient7–13-0.0639%18 Mar →
overpass13–90.0429%22 Feb →
dust213–100.0138%22 Feb →
nuke8–13-0.0617%22 Feb →
nuke10–13-0.0720%8 Feb →
mirage7–130.0126%28 Jan →
anubis13–20.0029%26 Jan →
ancient13–50.0717%25 Jan →
mirage10–13-0.0129%21 Jan →
anubis8–13-0.0615%19 Jan →
mirage8–13-0.0336%13 Jan →
inferno9–13-0.0012%8 Jan →
mirage13–60.0141%5 Jan →
train13–40.1016%5 Jan →
mirage13–10-0.0216%20 Dec →
ancient13–5-0.0329%15 Dec →
ancient13–4-0.0224%27 Nov →
overpass12–12-0.0221%20 Nov →
inferno16–140.0526%19 Nov →
ancient13–11-0.0128%15 Nov →
mirage11–13-0.0520%12 Nov →
ancient1–13-0.0817%11 Nov →
nuke13–11-0.0127%31 Oct →
dust213–100.0320%30 Oct →
ancient13–160.0120%20 Oct →
ancient11–130.0126%14 Oct →
ancient13–80.0123%13 Oct →
ancient11–13-0.0326%10 Oct →
nuke2–13-0.0915%10 Oct →
ancient13–110.0120%9 Oct →
nuke13–11-0.0614%9 Oct →
ancient11–13-0.0427%9 Oct →
mirage13–90.0428%9 Oct →
mirage11–130.0133%5 Oct →
mirage13–90.0733%5 Oct →
inferno13–5-0.0716%5 Oct →
dust28–130.0339%5 Oct →
ancient13–11-0.0623%4 Oct →
inferno13–10.0337%4 Oct →
nuke8–13-0.0417%4 Oct →
mirage9–130.0129%4 Oct →
inferno13–8-0.0241%4 Oct →
overpass13–70.0627%26 Sept →
overpass13–90.0038%23 Sept →
mirage13–10-0.0332%13 Sept →
nuke13–90.0622%13 Sept →
inferno11–13-0.0315%13 Sept →
dust211–130.0515%11 Sept →
ancient13–8-0.0216%11 Sept →
dust213–15-0.0523%11 Sept →
mirage17–190.0021%6 Sept →
mirage13–80.0129%29 Aug →
ancient10–13-0.0719%29 Aug →
train6–13-0.0329%28 Aug →
mirage13–40.0622%27 Aug →
agency6–130.0727%10 Aug →
dust213–10-0.0220%4 Aug →
inferno14–16-0.0526%27 Jul →
mirage3–13-0.0220%27 Jul →
ancient13–6-0.0114%20 Jul →
mirage11–130.0229%20 Jul →
mirage8–13-0.0333%8 Jul →
mirage14–16-0.0329%28 Jun →
ancient13–50.0326%20 Jun →
train16–14-0.0531%13 Jun →
inferno13–30.0133%12 Jun →
mirage13–11-0.0222%7 Jun →
train16–12-0.0137%7 Jun →
anubis9–13-0.0336%6 Jun →
anubis13–100.0129%5 Jun →
ancient13–20.0045%30 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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