inzon33-

inzon33- — CS2 Stats

SK76561198129964113[U:1:169698385]Steam profile ↗✓ No bans

4,003Tracked matches40%Win rate2020Tracked since
3,880Hours in CS
CSDB Rating4.8 DevelopingPositional Player
CSDB Leaderboard#28508 of 261679 tracked
FaceitLevel 10 · 2,244 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,516 +925 17 May – 30 May · 6 days played
23,59124,881peak 24,88117 May30 May
24,999Peak Premier in tracked matches
2,244Highest Faceit ELO seen on CSDB
59Days played since 2026-05-14

Faceit ELO

  • At peak — 2,244
  • Next: 2,500 ELO at 2,500 — 256 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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 10 among CSDB-tracked players (n=31,884), 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 rate44.9%50.9%
Shot accuracy12.6%13.7%
Kill/death ratio0.861.09
Match win rate50.1%48.4%

Share this profile

CSDB.GGinzon33-FACEITLevel 10 · 2,244 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,244csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83
Positioning39
Utility30

0–100 skill scores via Leetify.

Recent form

COLD47–52–1Last 10047%Win rateLWWLLLLWLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −2.6pp headshot accuracy · +17ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 525ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 559ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 550ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim8.3
Utility3.0
Positioning3.9
Opening Duels0.1
Clutch3.2

Limited 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.

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.

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

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

Aim8.3
Positioning3.9
Utility3.0
Mechanics5.5
Opening Duels0.4
Win Impact1.7

Composite 4.8/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time538ms−73ms
first ⅓ avg 612ms → last ⅓ avg 538ms
Headshot accuracy22.8%+2.1%
first ⅓ avg 20.7% → last ⅓ avg 22.8%

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.

Personal bests

0.11Best match rating · 13–10 · ancient, 14 May →
100%Best headshot accuracy · 0–13 · mirage, 13 Jul →
391msFastest reaction time · 13–9 · inferno, 17 Sept →
11–0Biggest win · vertigo, 14 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 53% over 17nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2814–1450%0.00
infernoB2111–1052%0.01
ancientB179–853%-0.00
cacheB136–746%0.00
anubisD93–633%-0.01
nukeD61–517%-0.00
dust2C52–340%-0.05
vertigo—11–0100%0.09

Across the last 100 tracked matches.

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

Lifetime stats

162,184Lifetime kills
0.86K/D
8,200Matches
50.1%Match win rate · Top 50% of Level 10 players
44.9%Headshot %
12.6%Shot accuracy
21,568MVPs
3,880Hours (in match)
4,464Bombs planted
2,252Bombs defused

Most-used weapons

AK-4745,968
AWP32,397
Knife6,602
P2504,383
MAC-103,626
MP92,604

Lifetime map wins

22,560inferno
10,413dust2
4,956nuke
4,298train
3,029vertigo
167cbble
32office
21assault

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

Faceit stats

Combat

6,712Matches
50%Win rate
1.00Avg K/D
78.3ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage83349%1.0115.9
Inferno57357%1.0216.4
Ancient39651%0.9615.5
Anubis31448%0.9615.4
Dust225644%0.8814.0
Nuke19042%1.0016.0
Vertigo9057%1.0217.7
Cache8359%1.0716.3

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.

23.1%Headshot accuracy
37.7%Accuracy (enemy spotted)
40.2%Spray accuracy
74.7%Counter-strafing
9.3°Preaim
529msReaction time
28.7%T opening success
33.2%CT opening success
0.43Enemies flashed / flash
1.8%Flash assists
7.79HE damage / grenade
2.70Flashes / 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 0.4311 — 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 28.742% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0225%8 Nov →
cache13–50.0522%6 Nov →
inferno13–80.0428%3 Nov →
mirage8–13-0.0214%2 Nov →
anubis4–13-0.0514%1 Nov →
inferno8–130.0018%26 Oct →
mirage4–13-0.0330%26 Oct →
mirage13–10-0.0120%25 Oct →
anubis6–130.0217%23 Oct →
cache3–13-0.0326%22 Oct →
ancient14–160.0133%22 Oct →
mirage4–13-0.1022%22 Oct →
dust213–11-0.0629%6 Oct →
inferno5–13-0.0316%2 Oct →
anubis9–13-0.0229%1 Oct →
mirage13–30.0821%29 Sept →
anubis13–90.0523%27 Sept →
cache13–5-0.0918%27 Sept →
cache13–90.0718%26 Sept →
ancient9–13-0.0528%26 Sept →
inferno7–13-0.0326%20 Sept →
mirage10–130.0128%18 Sept →
inferno13–9-0.0816%17 Sept →
nuke19–150.0022%17 Sept →
inferno13–60.0624%8 Sept →
nuke10–130.0226%8 Sept →
nuke10–13-0.0337%6 Sept →
inferno5–13-0.0610%6 Sept →
inferno10–13-0.0320%6 Sept →
dust213–7-0.0124%6 Sept →
mirage9–130.0019%2 Sept →
nuke11–13-0.0027%31 Aug →
dust210–13-0.0525%26 Aug →
inferno11–130.0123%23 Aug →
ancient13–80.0322%16 Aug →
ancient13–10-0.0413%13 Aug →
ancient13–11-0.0321%11 Aug →
dust29–13-0.1217%10 Aug →
anubis9–130.0119%10 Aug →
cache13–7-0.0136%9 Aug →
ancient9–13-0.0614%6 Aug →
mirage7–130.0113%3 Aug →
mirage16–140.0320%2 Aug →
mirage16–130.0022%2 Aug →
mirage4–00.0412%30 Jul →
mirage10–130.0113%28 Jul →
nuke11–130.0024%23 Jul →
cache5–13-0.0325%23 Jul →
cache6–13-0.009%22 Jul →
ancient13–70.0113%22 Jul →
nuke5–13-0.0136%19 Jul →
anubis13–50.0523%18 Jul →
anubis13–90.0219%17 Jul →
vertigo11–00.0921%14 Jul →
cache0–4-0.010%14 Jul →
mirage13–30.0311%13 Jul →
mirage0–13-0.06100%13 Jul →
inferno4–1-0.0860%13 Jul →
mirage13–20.0721%11 Jul →
inferno13–60.0933%11 Jul →
mirage13–7-0.0316%11 Jul →
cache11–130.0239%11 Jul →
cache13–11-0.0617%11 Jul →
inferno13–40.0630%11 Jul →
cache8–130.0227%8 Jul →
ancient8–130.0122%8 Jul →
inferno13–80.0923%6 Jul →
cache11–130.0218%2 Jul →
mirage13–60.0329%28 Jun →
mirage13–7-0.0220%22 Jun →
anubis6–13-0.1213%15 Jun →
ancient13–110.0215%10 Jun →
inferno7–130.0227%10 Jun →
ancient14–16-0.018%7 Jun →
cache13–100.0625%5 Jun →
inferno13–30.0817%2 Jun →
mirage9–130.0716%2 Jun →
inferno4–13-0.0114%30 May →
ancient13–5-0.0829%30 May →
mirage8–13-0.0218%30 May →
mirage0–13-0.0022%30 May →
ancient2–13-0.0811%29 May →
mirage13–80.0620%29 May →
anubis5–13-0.0411%29 May →
inferno13–40.0431%29 May →
ancient13–80.0117%29 May →
inferno6–130.0426%29 May →
mirage8–130.0326%29 May →
ancient15–150.0029%29 May →
mirage13–4-0.044%29 May →
inferno4–13-0.0523%27 May →
mirage8–13-0.0124%21 May →
inferno13–100.0425%21 May →
mirage13–11-0.0212%21 May →
mirage16–13-0.0627%18 May →
inferno13–11-0.0141%18 May →
ancient10–130.0121%17 May →
ancient13–100.0921%17 May →
mirage13–16-0.0417%14 May →
ancient13–100.1127%14 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.