cinz — CS2 Stats

76561198351956658[U:1:391690930]

553Tracked matches48%Win rate2020Tracked since
CSDB Rating4.7 DevelopingPassive Rifler
FaceitLevel 4 · 907 ELOTop 81.0% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

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CSDB.GGcinzFACEITLevel 4 · 907 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning48
Utility12

0–100 skill scores via Leetify.

Recent form

COLD49456Last 10049%Win rateWWLLLLLLWL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.3
Aggression3.7
Utility1.2
Positioning4.8
Opening Duels0.4
Clutch0.0

Excellent counter-strafingLimited utility dependence

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

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Strengths

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

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. 756ms 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

Aim7.3
Positioning4.8
Utility1.2
Mechanics9.6
Opening Duels0.4
Win Impact4.4

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time767ms+30ms
first ⅓ avg 737ms → last ⅓ avg 767ms
Headshot accuracy24.3%+0.9%
first ⅓ avg 23.3% → last ⅓ avg 24.3%

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

0.25Best rating — inferno 9–1
131Biggest win — mirage
5Longest win streak
W2Current streak
77In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 62% over 13dust2Weakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB24131154%-0.00
cacheA22121055%0.01
infernoB158753%-0.01
dust2D1521313%-0.02
nukeA138562%0.01
ancient32167%-0.04
office21150%0.00
fachwerk21150%-0.01
italy1010%0.08
shelter110100%-0.02
overpass110100%-0.04
vertigo1010%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

25Matches
32%Win rate
0.75Avg K/D
57.9ADR
58%Headshot %

Clutches & streaks

12%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke667%1.0715.8
Mirage540%0.9310.8
Dust2520%0.5710.0
Ancient425%0.6010.3
Inferno30%0.5810.0
Train10%0.406.0
Cache10%0.365.0

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.

23.7%Headshot accuracy
37.3%Accuracy (enemy spotted)
35.5%Spray accuracy
93.0%Counter-strafing
10.2°Preaim
756msReaction time
31.3%T opening success
32.1%CT opening success
0.30Enemies flashed / flash
0.0%Flash assists
4.21HE damage / grenade
0.87Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 756.0985ms — above the 700ms 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 0.3028 — 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 31.3083% — below the 40% mark we flag

Spend your practice time on Dust 2

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

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–40.0327%22 Aug
mirage13–11-0.0018%22 Aug
cache11–130.0221%22 Aug
mirage9–13-0.1013%19 Aug
inferno8–130.0124%19 Aug
cache5–13-0.0440%16 Aug
dust21–130.0134%15 Aug
dust211–130.0131%13 Aug
mirage13–10.1021%13 Aug
office8–130.0123%13 Aug
italy6–130.0820%13 Aug
mirage11–13-0.0512%13 Aug
mirage13–60.1243%13 Aug
mirage13–11-0.0329%17 Jul
cache13–6-0.0611%17 Jul
cache11–50.0440%17 Jul
nuke10–13-0.0216%16 Jul
mirage12–12-0.0819%15 Jul
dust29–13-0.0428%15 Jul
nuke12–120.0929%14 Jul
fachwerk13–11-0.0237%14 Jul
fachwerk12–12-0.0123%11 Jul
dust27–13-0.0918%11 Jul
mirage13–110.0017%10 Jul
mirage2–13-0.0619%10 Jul
nuke4–130.0023%10 Jul
nuke13–50.0117%10 Jul
inferno13–50.0917%10 Jul
shelter13–9-0.0231%9 Jul
office13–11-0.0019%9 Jul
cache13–70.0926%9 Jul
mirage7–13-0.0131%9 Jul
nuke12–20.0124%9 Jul
mirage13–60.0427%9 Jul
inferno5–130.0429%2 Jun
inferno13–8-0.0115%2 Jun
mirage4–130.0126%2 Jun
nuke6–13-0.0525%31 May
mirage16–120.0414%31 May
cache13–50.0542%25 May
cache13–70.0528%23 May
dust211–130.0128%23 May
ancient6–13-0.0932%23 May
mirage13–50.0522%23 May
nuke6–13-0.0423%23 May
inferno0–9-0.280%22 May
inferno9–40.019%22 May
inferno6–9-0.1223%21 May
inferno9–50.0022%21 May
inferno9–10.2538%21 May
dust28–13-0.0919%21 May
mirage10–4-0.0321%21 May
cache8–13-0.0121%21 May
mirage13–50.0119%21 May
nuke13–2-0.0439%21 May
mirage13–10.0718%21 May
inferno13–30.1031%21 May
cache7–130.0225%21 May
nuke13–100.0440%20 May
cache13–30.0433%20 May
dust29–130.0531%20 May
cache13–70.0614%20 May
mirage13–6-0.0024%19 May
nuke13–6-0.0120%19 May
cache13–80.0620%19 May
cache7–13-0.0528%19 May
inferno15–15-0.0230%14 May
cache13–70.0220%14 May
cache6–13-0.0416%14 May
cache11–130.0020%12 May
cache7–130.0333%12 May
inferno13–9-0.0222%9 May
cache13–8-0.0415%9 May
dust213–70.0135%9 May
cache1–13-0.0715%9 May
cache4–130.029%9 May
cache13–40.0654%9 May
ancient13–11-0.0416%7 May
dust211–13-0.0720%7 May
overpass16–12-0.0420%6 May
mirage7–13-0.0720%25 Apr
dust26–13-0.0240%25 Apr
nuke13–80.0116%25 Apr
inferno13–10-0.0220%2 Apr
inferno0–9-0.1527%2 Apr
dust25–13-0.0622%2 Apr
ancient13–100.0223%2 Apr
dust213–110.0410%29 Mar
mirage13–10-0.0325%29 Mar
mirage8–13-0.0325%28 Mar
mirage6–130.0427%28 Mar
vertigo2–12-0.0620%30 Jan
dust29–13-0.0929%7 Nov
dust214–160.0722%16 Oct
inferno5–13-0.0120%16 Oct
mirage15–15-0.0330%2 Oct
mirage6–13-0.0317%22 Sept
nuke13–90.0629%18 Sept
dust212–120.0132%11 Sept
nuke13–90.0519%11 Sept

Match data via Leetify.

Recent teammates

Milestones

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