insetto

insetto — CS2 Stats

US76561199527265707[U:1:1566999979]Steam profile ↗✓ No bans

103Tracked matches54%Win rate2026Tracked since
214Hours in CS2Hrs last 2 wks
CSDB Rating3.7 LearningSupport
Ladder ranks via Leetify

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches52——
Win rate38%——
K/D0.85——
Headshot %41%——

Measured 13 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim27
Positioning37
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY45–44–11Last 10045%Win rateWLTLWWWWLL

Last 10 vs previous 10: 0pp win rate · −0.08 avg rating · +0.1pp headshot accuracy · −26ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 694ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 678ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 691ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim2.7
Utility3.8
Positioning3.7
Opening Duels0.0

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

ZywOo

Plays most like ZywOo 71% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 681ms 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

Aim2.7
Positioning3.7
Utility3.8
Mechanics5.6
Opening Duels1.4
Win Impact6.3

Composite 3.7/10 (Learning), 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 time695ms−48ms
first ⅓ avg 743ms → last ⅓ avg 695ms
Headshot accuracy15.8%+2.3%
first ⅓ avg 13.5% → last ⅓ avg 15.8%

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

0.16Best match rating · 13–5 · mirage, 21 Sept →
35%Best headshot accuracy · 3–13 · office, 19 Sept →
516msFastest reaction time · 0–4 · nuke, 12 Sept →
13–0Biggest win · dust2, 22 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–3In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 67% over 6dust2Weakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
nukeB2312–1152%-0.00
dust2C207–1335%-0.02
infernoC197–1237%-0.02
mirageA1912–763%-0.01
anubisS64–267%-0.01
cache—40–40%0.04
ancient—31–233%-0.03
vertigo—31–233%0.01
office—31–233%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,130Lifetime kills
0.79K/D
356Matches
32.0%Match win rate
39.4%Headshot %
0.3%Shot accuracy
527MVPs
104Hours (in match)
329Bombs planted
44Bombs defused

Most-used weapons

Lifetime map wins

629dust2
458nuke
351inferno
82vertigo
29office
21train
6ar_baggage
5lake

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

Skill profile

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

15.9%Headshot accuracy
29.0%Accuracy (enemy spotted)
29.2%Spray accuracy
75.4%Counter-strafing
14.0°Preaim
681msReaction time
41.0%T opening success
27.6%CT opening success
0.54Enemies flashed / flash
3.9%Flash assists
6.58HE damage / grenade
3.39Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.9606° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.386 — below the 4 mark we flag

    Grenade Lineups →
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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–3-0.0518%9 Oct →
dust29–13-0.0617%9 Oct →
inferno12–120.0117%9 Oct →
anubis11–13-0.0416%28 Sept →
mirage13–7-0.0112%28 Sept →
dust213–6-0.0121%28 Sept →
nuke13–40.0014%27 Sept →
ancient13–9-0.0818%23 Sept →
dust210–130.0118%23 Sept →
vertigo7–13-0.0524%23 Sept →
mirage13–50.1619%21 Sept →
cache12–120.1420%21 Sept →
ancient10–130.0511%21 Sept →
anubis13–9-0.0413%21 Sept →
mirage2–13-0.024%21 Sept →
vertigo13–20.1224%20 Sept →
nuke9–130.0716%20 Sept →
office3–13-0.0935%19 Sept →
inferno13–110.0414%19 Sept →
dust213–80.1318%19 Sept →
mirage13–11-0.046%19 Sept →
nuke13–80.0515%19 Sept →
anubis13–30.1026%19 Sept →
inferno3–13-0.0410%19 Sept →
mirage9–13-0.0711%19 Sept →
nuke9–130.0114%19 Sept →
mirage13–80.0416%18 Sept →
nuke10–13-0.0214%18 Sept →
inferno12–120.028%18 Sept →
inferno12–12-0.0716%15 Sept →
anubis13–8-0.0215%15 Sept →
dust213–9-0.069%15 Sept →
mirage7–13-0.0316%13 Sept →
inferno4–13-0.0111%13 Sept →
nuke4–130.038%12 Sept →
dust25–13-0.0315%12 Sept →
nuke0–4-0.070%12 Sept →
mirage2–13-0.0324%12 Sept →
nuke8–13-0.046%8 Sept →
mirage13–8-0.0424%8 Sept →
inferno12–120.0519%8 Sept →
mirage13–80.0616%8 Sept →
dust210–13-0.0212%8 Sept →
nuke13–4-0.0424%8 Sept →
mirage13–40.0211%4 Sept →
nuke13–9-0.0521%4 Sept →
inferno8–130.0714%4 Sept →
nuke8–13-0.0212%2 Sept →
dust25–130.0120%2 Sept →
mirage13–11-0.043%2 Sept →
office12–12-0.0421%2 Sept →
mirage2–13-0.0821%2 Sept →
office13–30.0320%2 Sept →
inferno13–5-0.086%31 Aug →
inferno13–10.0317%29 Aug →
cache7–13-0.0112%28 Aug →
mirage7–130.005%25 Aug →
inferno12–12-0.0410%25 Aug →
dust21–13-0.0615%25 Aug →
dust213–11-0.0111%21 Aug →
inferno0–13-0.1111%17 Aug →
mirage13–5-0.0220%17 Aug →
nuke13–50.0021%14 Aug →
dust212–12-0.0317%14 Aug →
nuke13–90.0423%13 Aug →
dust23–13-0.0917%11 Aug →
inferno7–10.0127%10 Aug →
nuke13–30.069%10 Aug →
nuke12–12-0.0518%8 Aug →
dust210–13-0.0218%6 Aug →
mirage13–5-0.0127%3 Aug →
inferno13–6-0.0413%3 Aug →
inferno11–13-0.0813%2 Aug →
nuke2–13-0.0620%2 Aug →
anubis12–12-0.0212%1 Aug →
dust27–13-0.108%1 Aug →
inferno13–8-0.0111%1 Aug →
inferno13–7-0.0613%1 Aug →
dust211–13-0.019%31 Jul →
nuke13–9-0.024%30 Jul →
cache2–13-0.0217%30 Jul →
vertigo2–13-0.0410%29 Jul →
nuke13–90.0514%29 Jul →
dust210–130.0110%27 Jul →
inferno1–11-0.0711%27 Jul →
nuke13–4-0.017%27 Jul →
dust213–8-0.0119%26 Jul →
anubis13–8-0.069%26 Jul →
nuke10–130.028%26 Jul →
cache7–130.069%26 Jul →
mirage13–40.0422%26 Jul →
ancient12–12-0.0610%22 Jul →
nuke13–1-0.0111%22 Jul →
dust213–0-0.059%22 Jul →
mirage13–11-0.0614%22 Jul →
inferno9–13-0.0121%22 Jul →
nuke3–130.0114%22 Jul →
dust213–10-0.0615%22 Jul →
mirage6–13-0.0621%22 Jul →
dust26–13-0.0419%22 Jul →

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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