A1vomehu

A1vomehu — CS2 Stats

FI76561198979147184[U:1:1018881456]Steam profile ↗✓ No bans

273Tracked matches43%Win rate2024Tracked since
591Hours in CS13Hrs last 2 wks
CSDB Rating1.7 LearningPositional Player
WingmanSilver II
Ladder ranks via Leetify

Performance scores

Aim8
Positioning30
Utility1

0–100 skill scores via Leetify.

Recent form

COLD37–56–7Last 10037%Win rateLWWLLLLLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −1.9pp headshot accuracy · −76ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 9%
  • Avg reaction 713ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 9%
  • Avg reaction 720ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 10%
  • Avg reaction 758ms

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 (+2 against its own average).

Aim0.8
Utility0.1
Positioning3.0
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

m0NESY

Plays most like m0NESY 73% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 758ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.8
Positioning3.0
Utility0.1
Mechanics4.2
Opening Duels0.0
Win Impact2.6

Composite 1.7/10 (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 rating-0.08−0.02
first ⅓ avg -0.06 → last ⅓ avg -0.08
Reaction time764ms−40ms
first ⅓ avg 803ms → last ⅓ avg 764ms
Headshot accuracy9.3%−2.9%
first ⅓ avg 12.2% → last ⅓ avg 9.3%

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.

Personal bests

0.06Best match rating · 13–0 · nuke, 20 Sept →
37%Best headshot accuracy · 7–13 · train, 6 Oct →
469msFastest reaction time · 8–13 · office, 20 Sept →
13–0Biggest win · vertigo, 2 Nov →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
nukeD3211–2134%-0.07
mirageC146–843%-0.08
infernoD103–730%-0.06
cacheA74–357%-0.07
vertigoC73–443%-0.03
ancientD62–433%-0.06
dust2D62–433%-0.07
anubisA53–260%-0.06
train—40–40%-0.06
office—30–30%-0.09
overpass—31–233%-0.06
debris—11–0100%-0.08
eldorado—11–0100%-0.03
italy—10–10%-0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,541Lifetime kills
0.52K/D
939Matches
34.0%Match win rate
32.8%Headshot %
0.0%Shot accuracy
898MVPs
304Hours (in match)
401Bombs planted
92Bombs defused

Most-used weapons

Lifetime map wins

1,993nuke
1,175vertigo
765inferno
397office
306dust2
273train
18italy

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.

8.9%Headshot accuracy
21.4%Accuracy (enemy spotted)
21.8%Spray accuracy
69.1%Counter-strafing
11.5°Preaim
758msReaction time
12.7%T opening success
22.1%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
1.07HE damage / grenade
0.00Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 8.901% — below the 15% mark we flag

    Aim Training →
  2. 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 758.3551ms — above the 700ms mark we flag

    Aim Training →
  3. 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 — below the 0.5 mark we flag

    Grenade Lineups →
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.110%4 Nov →
cache13–40.019%4 Nov →
mirage13–11-0.0712%4 Nov →
mirage9–13-0.0917%4 Nov →
mirage8–13-0.079%3 Nov →
nuke10–13-0.114%3 Nov →
anubis13–16-0.133%3 Nov →
inferno4–13-0.110%3 Nov →
nuke9–13-0.118%3 Nov →
mirage3–13-0.1328%3 Nov →
mirage6–13-0.0910%3 Nov →
inferno13–7-0.0815%2 Nov →
mirage13–9-0.118%2 Nov →
cache13–7-0.077%2 Nov →
vertigo13–00.0112%2 Nov →
vertigo2–13-0.088%2 Nov →
nuke5–13-0.0721%1 Nov →
ancient2–13-0.118%1 Nov →
dust28–13-0.0815%1 Nov →
vertigo12–12-0.065%29 Oct →
anubis13–1-0.110%29 Oct →
nuke7–13-0.0815%20 Oct →
vertigo13–4-0.025%20 Oct →
nuke13–6-0.084%20 Oct →
anubis13–70.0216%20 Oct →
cache13–9-0.137%20 Oct →
office7–13-0.129%20 Oct →
nuke12–12-0.117%19 Oct →
nuke13–6-0.0513%19 Oct →
debris9–7-0.0813%19 Oct →
eldorado9–0-0.0315%19 Oct →
nuke11–13-0.120%19 Oct →
nuke10–13-0.096%19 Oct →
cache9–13-0.0723%18 Oct →
mirage3–13-0.089%18 Oct →
nuke1–13-0.1515%18 Oct →
mirage13–6-0.070%18 Oct →
dust213–9-0.0711%18 Oct →
vertigo8–13-0.0712%18 Oct →
mirage13–7-0.0910%17 Oct →
inferno10–13-0.0610%17 Oct →
inferno10–13-0.117%17 Oct →
inferno9–5-0.0219%17 Oct →
mirage5–13-0.065%17 Oct →
inferno9–13-0.0113%17 Oct →
vertigo5–130.016%16 Oct →
dust213–4-0.0325%16 Oct →
nuke5–13-0.1017%16 Oct →
nuke13–80.005%16 Oct →
office12–12-0.076%10 Oct →
nuke9–13-0.0012%10 Oct →
nuke6–13-0.0610%10 Oct →
nuke10–13-0.0714%7 Oct →
nuke7–13-0.0712%7 Oct →
overpass11–13-0.080%7 Oct →
train7–13-0.0513%7 Oct →
nuke13–20.0110%7 Oct →
nuke13–70.0111%7 Oct →
nuke10–13-0.067%7 Oct →
nuke13–5-0.114%7 Oct →
train4–13-0.089%7 Oct →
ancient5–13-0.0411%7 Oct →
nuke7–13-0.073%7 Oct →
nuke12–12-0.0812%6 Oct →
inferno8–13-0.020%6 Oct →
ancient13–60.015%6 Oct →
nuke13–7-0.048%6 Oct →
dust26–13-0.1015%6 Oct →
mirage13–50.0013%6 Oct →
inferno13–6-0.0311%6 Oct →
train7–13-0.0837%6 Oct →
vertigo13–8-0.0313%4 Oct →
train4–13-0.0121%4 Oct →
anubis3–13-0.0931%22 Sept →
ancient2–13-0.0315%22 Sept →
nuke3–13-0.119%22 Sept →
overpass12–12-0.0711%22 Sept →
ancient1–13-0.087%22 Sept →
nuke13–9-0.0616%22 Sept →
mirage13–9-0.0521%22 Sept →
anubis13–10.015%22 Sept →
cache3–13-0.0214%22 Sept →
dust22–13-0.0818%21 Sept →
dust25–13-0.0518%21 Sept →
mirage2–13-0.0810%21 Sept →
italy6–13-0.133%21 Sept →
cache11–13-0.103%21 Sept →
nuke9–13-0.0626%20 Sept →
ancient13–9-0.0921%20 Sept →
mirage7–13-0.0613%20 Sept →
inferno15–15-0.0714%20 Sept →
nuke7–13-0.090%20 Sept →
office8–13-0.087%20 Sept →
nuke12–12-0.110%20 Sept →
nuke13–7-0.0515%20 Sept →
nuke13–00.065%20 Sept →
cache13–10-0.103%20 Sept →
overpass13–2-0.020%20 Sept →
nuke13–2-0.0210%20 Sept →
nuke10–13-0.100%20 Sept →

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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