✪ Kinzo

✪ Kinzo — CS2 Stats

CH76561198070670462[U:1:110404734]Steam profile ↗✓ No bans

351Tracked matches50%Win rate2020Tracked since
CSDB Rating6.4 SolidAll-Rounder
Premier CS Rating12,442Blue band · top ~42% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,442 -3,735 18 Aug – 13 Sept · 23 days played
12,44216,177peak 16,17718 Aug13 Sept
16,866Peak Premier in tracked matches
24Days played since 2026-08-18

Premier CS Rating

  • 3,735 below peak (16,177)
  • -3,735 over 30 days · declining
  • Next: Purple band at 15,000 — 2,558 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-05
  • Light Blue band first seen 2026-09-05

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

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CSDB.GG✪ KinzoPREMIER12,442 · Blue bandcsdb.gg/stats

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Performance scores

Aim74
Positioning68
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateLLLWLLWWWL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −7.3pp headshot accuracy · −13ms reaction

Win rate down 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 597ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 599ms

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.

Aim7.4
Utility4.9
Positioning6.8
Opening Duels6.8

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.

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

donk

Plays most like donk 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Strengths

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 576ms 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

Aim7.4
Positioning6.8
Utility4.9
Mechanics7.0
Opening Duels8.3
Win Impact5.0

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time597ms+32ms
first ⅓ avg 564ms → last ⅓ avg 597ms
Headshot accuracy20.4%+4.9%
first ⅓ avg 15.5% → last ⅓ avg 20.4%

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

0.22Best match rating · 9–7 · poseidon, 7 Sept →
56%Best headshot accuracy · 7–2 · nuke, 29 Aug →
422msFastest reaction time · 13–10 · mirage, 28 Aug →
13–2Biggest win · dust2, 25 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
11–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 62% over 29infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA2918–1162%0.03
dust2C166–1038%-0.00
infernoC145–936%0.03
nukeB115–645%0.03
ancientC104–640%0.03
cacheC83–538%0.01
anubis—40–40%-0.02
debris—22–0100%0.12
eldorado—21–150%0.01
poseidon—11–0100%0.22
train—11–0100%0.02
overpass—11–0100%0.04
vertigo—10–10%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.2%Headshot accuracy
33.8%Accuracy (enemy spotted)
38.4%Spray accuracy
81.5%Counter-strafing
9.1°Preaim
576msReaction time
61.0%T opening success
65.5%CT opening success
0.55Enemies flashed / flash
9.1%Flash assists
10.12HE damage / grenade
6.16Flashes / match

Recommended for you

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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–130.0115%13 Sept →
mirage9–130.0116%13 Sept →
dust29–13-0.0414%10 Sept →
nuke13–60.1010%10 Sept →
mirage10–130.0316%10 Sept →
nuke7–13-0.0515%10 Sept →
cache13–50.0423%10 Sept →
mirage13–90.1117%10 Sept →
dust216–140.0815%10 Sept →
mirage9–130.0518%10 Sept →
dust211–130.0120%10 Sept →
inferno11–13-0.0421%10 Sept →
dust216–14-0.0313%9 Sept →
mirage13–50.1226%8 Sept →
inferno9–1-0.0133%8 Sept →
mirage13–110.0217%8 Sept →
cache6–13-0.0016%8 Sept →
inferno13–30.0413%7 Sept →
dust27–130.0523%7 Sept →
debris9–60.0550%7 Sept →
eldorado9–70.2028%7 Sept →
poseidon9–70.2231%7 Sept →
eldorado4–9-0.1730%7 Sept →
ancient9–130.0017%6 Sept →
ancient5–130.0615%6 Sept →
mirage13–40.0228%6 Sept →
cache6–13-0.0115%6 Sept →
dust213–80.0117%6 Sept →
mirage13–80.0324%6 Sept →
anubis8–130.0317%5 Sept →
inferno6–130.0121%5 Sept →
nuke13–30.1918%5 Sept →
train13–40.0220%5 Sept →
dust213–90.1124%4 Sept →
nuke15–15-0.0617%4 Sept →
nuke5–130.0117%3 Sept →
mirage7–130.0318%2 Sept →
inferno8–130.0216%2 Sept →
overpass9–40.0413%31 Aug →
debris9–70.1923%31 Aug →
dust28–13-0.0324%30 Aug →
mirage11–130.0613%30 Aug →
ancient5–13-0.0115%30 Aug →
inferno13–11-0.0213%29 Aug →
nuke7–20.0856%29 Aug →
anubis1–13-0.0320%28 Aug →
cache13–50.1419%28 Aug →
mirage13–100.0523%28 Aug →
mirage13–50.0117%27 Aug →
inferno6–130.1518%27 Aug →
dust24–13-0.0514%27 Aug →
inferno13–110.0118%27 Aug →
vertigo4–90.0236%26 Aug →
inferno4–90.1022%26 Aug →
nuke8–80.0836%26 Aug →
mirage13–10-0.0315%26 Aug →
dust28–13-0.0214%26 Aug →
cache3–13-0.035%26 Aug →
mirage7–130.1025%26 Aug →
dust29–13-0.0917%26 Aug →
dust213–16-0.0117%25 Aug →
ancient13–50.1015%25 Aug →
mirage11–130.0427%25 Aug →
mirage13–7-0.0216%25 Aug →
dust213–20.0629%25 Aug →
cache13–160.0119%25 Aug →
nuke13–8-0.0212%25 Aug →
cache13–4-0.049%25 Aug →
inferno13–110.0111%25 Aug →
nuke13–20.0919%25 Aug →
inferno12–160.0813%25 Aug →
nuke11–13-0.0313%25 Aug →
mirage10–13-0.033%24 Aug →
mirage13–80.0118%24 Aug →
mirage13–80.0224%24 Aug →
anubis2–130.019%24 Aug →
dust213–10-0.0316%24 Aug →
dust211–13-0.057%24 Aug →
mirage13–90.0111%23 Aug →
mirage16–140.0623%23 Aug →
mirage7–13-0.0624%23 Aug →
mirage16–13-0.0121%22 Aug →
inferno11–13-0.0415%22 Aug →
anubis13–16-0.075%21 Aug →
ancient9–130.058%21 Aug →
ancient13–7-0.035%21 Aug →
mirage10–13-0.0320%20 Aug →
mirage13–30.0213%19 Aug →
ancient12–160.0116%19 Aug →
mirage6–130.0530%19 Aug →
nuke14–16-0.047%19 Aug →
inferno10–130.0212%18 Aug →
inferno7–130.0626%18 Aug →
ancient13–7-0.0317%18 Aug →
mirage13–80.1123%18 Aug →
ancient13–90.0625%18 Aug →
ancient8–130.0916%18 Aug →
mirage16–130.0616%18 Aug →
dust27–13-0.0320%18 Aug →
mirage16–14-0.0218%18 Aug →

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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