kEzi

kEzi — CS2 Stats

NO76561197983169555[U:1:22903827]Steam profile ↗✓ No bans

232Tracked matches17%Win rate2020Tracked since
2,177Hours in CS
CSDB Rating5.8 SolidAll-Rounder
CSDB Leaderboard#89411 of 259896 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,781 +3,036 20 Dec – 6 Jan · 7 days played
15,99919,999peak 19,99920 Dec6 Jan
19,999Peak Premier in tracked matches
24Days played since 2025-12-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate65.1%46.8%48.2%above
Shot accuracy17.9%13.0%13.2%above
Kill/death ratio0.971.061.070.10 short
Match win rate47.3%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkEziFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning58
Utility40

0–100 skill scores via Leetify.

Recent form

COLD42–55–3Last 10042%Win rateLLLWTWLLLW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +9.0pp headshot accuracy · −49ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 26%
  • Avg reaction 584ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 28%
  • Avg reaction 566ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 590ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.2
Utility4.0
Positioning5.8
Opening Duels5.7

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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.

Reaction time. 558ms 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

Aim8.2
Positioning5.8
Utility4.0
Mechanics7.6
Opening Duels4.7
Win Impact0.0

Composite 5.8/10 (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 rating0.00+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time561ms−60ms
first ⅓ avg 621ms → last ⅓ avg 561ms
Headshot accuracy23.5%−0.0%
first ⅓ avg 23.5% → last ⅓ avg 23.5%

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.

Personal bests

0.17Best match rating · 6–13 · nuke, 19 Aug →
41%Best headshot accuracy · 13–8 · inferno, 14 Aug →
406msFastest reaction time · 1–13 · inferno, 13 Aug →
13–0Biggest win · anubis, 13 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
2–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 55% over 31nukeWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA3117–1455%-0.01
dust2C228–1436%-0.01
infernoD143–1121%-0.00
nukeD122–1017%0.01
ancientB63–350%0.04
anubisC52–340%0.04
cache—43–175%0.00
train—32–167%0.03
boulder—10–10%0.01
fachwerk—11–0100%0.08
overpass—11–0100%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

155,293Lifetime kills
0.97K/D
3,725Matches
47.3%Match win rate · Top 50% of Level 8 players
65.1%Headshot % · Top 5% of Level 8 players
17.9%Shot accuracy · Top 25% of Level 8 players
11,005MVPs
2,177Hours (in match)
1,504Bombs planted
759Bombs defused

Most-used weapons

AK-4791,364
AWP13,812
P25010,938
FAMAS2,962
MP71,479
UMP-451,342

Lifetime map wins

7,646dust2
4,973inferno
1,849nuke
1,613train
1,243cbble
75aztec
61vertigo
60dust

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

Faceit stats

Combat

768Matches
53%Win rate
1.01Avg K/D
—ADR
56%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

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.

24.8%Headshot accuracy
35.0%Accuracy (enemy spotted)
34.1%Spray accuracy
84.0%Counter-strafing
9.3°Preaim
558msReaction time
42.7%T opening success
54.8%CT opening success
0.63Enemies flashed / flash
2.7%Flash assists
0.47HE damage / grenade
8.17Flashes / match

Recommended for you

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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0431%20 Sept →
nuke7–13-0.0423%20 Sept →
nuke7–13-0.0520%15 Sept →
anubis13–10-0.0131%15 Sept →
cache15–15-0.0425%15 Sept →
ancient13–50.0329%14 Sept →
inferno4–130.0233%13 Sept →
dust212–160.0132%12 Sept →
mirage11–130.0538%6 Sept →
nuke16–140.0419%1 Sept →
nuke1–13-0.050%29 Aug →
nuke8–13-0.0515%29 Aug →
inferno0–13-0.0413%28 Aug →
anubis9–13-0.0017%28 Aug →
inferno6–13-0.0121%20 Aug →
cache13–3-0.0518%20 Aug →
dust24–13-0.0420%19 Aug →
train4–130.0525%19 Aug →
nuke6–130.1732%19 Aug →
boulder10–130.0129%19 Aug →
ancient11–13-0.0235%19 Aug →
inferno11–13-0.0111%18 Aug →
inferno6–130.0416%18 Aug →
nuke9–130.0720%18 Aug →
nuke6–130.0322%18 Aug →
inferno14–160.0231%18 Aug →
dust25–13-0.0226%18 Aug →
inferno6–130.0330%17 Aug →
anubis4–130.0534%17 Aug →
dust213–4-0.0319%17 Aug →
cache13–80.0019%17 Aug →
inferno11–13-0.0127%17 Aug →
anubis11–130.0415%16 Aug →
dust25–130.0023%16 Aug →
dust212–12-0.0426%14 Aug →
mirage5–13-0.0425%14 Aug →
dust213–9-0.0329%14 Aug →
mirage6–130.0217%14 Aug →
mirage2–13-0.0427%14 Aug →
dust214–160.0816%14 Aug →
ancient4–130.0425%14 Aug →
ancient13–70.0529%14 Aug →
mirage13–60.0221%14 Aug →
nuke11–13-0.0430%14 Aug →
inferno13–80.0341%14 Aug →
mirage13–30.0133%14 Aug →
dust213–60.0324%13 Aug →
dust213–100.1033%13 Aug →
mirage13–90.1117%13 Aug →
inferno1–13-0.0426%13 Aug →
mirage13–90.0420%13 Aug →
ancient8–130.0631%13 Aug →
fachwerk13–40.0823%13 Aug →
anubis13–00.1228%13 Aug →
inferno4–130.0519%13 Aug →
dust210–130.0418%13 Aug →
mirage13–60.1225%13 Aug →
cache13–00.1011%13 Aug →
train13–70.0829%13 Aug →
mirage13–90.0632%13 Aug →
inferno13–60.0115%13 Aug →
mirage6–13-0.0519%13 Aug →
mirage13–70.0330%13 Aug →
inferno7–13-0.0518%12 Aug →
dust211–130.0118%12 Aug →
nuke10–13-0.0425%12 Aug →
nuke14–16-0.0116%6 Jan →
mirage13–5-0.0433%6 Jan →
dust29–13-0.0626%5 Jan →
mirage15–15-0.0716%28 Dec →
mirage13–5-0.0022%28 Dec →
dust213–10.0727%28 Dec →
overpass7–00.0711%28 Dec →
dust26–13-0.0524%28 Dec →
mirage8–13-0.0238%27 Dec →
train13–11-0.0311%27 Dec →
mirage7–13-0.0834%27 Dec →
dust25–13-0.0740%27 Dec →
mirage13–3-0.0318%27 Dec →
nuke13–40.0430%27 Dec →
mirage13–4-0.0222%27 Dec →
inferno13–8-0.0336%27 Dec →
dust216–13-0.0128%26 Dec →
mirage13–10-0.0822%26 Dec →
dust213–7-0.0617%26 Dec →
mirage8–13-0.0529%26 Dec →
dust213–80.0238%26 Dec →
mirage13–5-0.0735%26 Dec →
ancient13–60.0618%26 Dec →
mirage13–7-0.0517%26 Dec →
mirage13–80.0425%26 Dec →
dust25–13-0.0616%26 Dec →
mirage13–80.0214%26 Dec →
mirage10–130.0224%26 Dec →
mirage6–13-0.066%25 Dec →
dust29–130.0029%25 Dec →
mirage13–6-0.0312%20 Dec →
dust29–13-0.0416%20 Dec →
mirage8–13-0.0118%20 Dec →
mirage7–13-0.0124%20 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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