antiehiro

antiehiro — CS2 Stats

IL76561199230840306[U:1:1270574578]Steam profile ↗✓ No bans

464Tracked matches52%Win rate2022Tracked since
311Hours in CS
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating11,126Blue band · top ~48.9% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (26 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: 11,126 +382 18 Mar – 20 Oct · 33 days played
10,51314,384peak 14,38418 Mar20 Oct
14,384Peak Premier in tracked matches
50Days played since 2026-03-13

Premier CS Rating

  • 3,258 below peak (14,384)
  • -766 over 30 days · declining
  • +613 over 90 days
  • Next: Purple band at 15,000 — 3,874 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=23,968), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate39.9%42.0%44.4%4.4% short
Shot accuracy7.7%9.7%11.8%4.1% short
Kill/death ratio0.650.981.030.38 short
Match win rate41.0%43.8%45.3%4.3% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGantiehiroPREMIER11,126 · Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning65
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLWLWLLWWLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +2.5pp headshot accuracy · −32ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 544ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 561ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 577ms

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 (+2.1 against its own average).

Aim3.3
Utility2.5
Positioning6.5
Opening Duels4.3

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

jL

Plays most like jL 70% 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. 584ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim3.3
Positioning6.5
Utility2.5
Mechanics4.3
Opening Duels4.6
Win Impact5.6

Composite 4.1/10 (Developing), 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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time595ms+3ms
first ⅓ avg 592ms → last ⅓ avg 595ms
Headshot accuracy11.3%−1.7%
first ⅓ avg 13.0% → last ⅓ avg 11.3%

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

0.16Best match rating · 11–13 · italy, 3 Jul →
50%Best headshot accuracy · 5–13 · dust2, 4 May →
359msFastest reaction time · 2–13 · anubis, 10 Aug →
13–2Biggest win · mirage, 4 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 79% over 14dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
nukeC218–1338%-0.00
mirageS1411–379%0.02
ancientB126–650%-0.00
dust2D123–925%-0.01
anubisS118–373%-0.00
cacheB84–450%0.01
infernoB63–350%0.02
office—31–233%0.06
overpass—31–233%-0.05
fachwerk—22–0100%0.06
stronghold—21–150%0.01
vertigo—10–10%0.00
boulder—11–0100%0.14
shelter—10–10%-0.02
italy—10–10%0.16
alpine—11–0100%-0.01
sanctum—11–0100%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,476Lifetime kills
0.65K/D
1,216Matches
41.0%Match win rate
39.9%Headshot %
7.7%Shot accuracy
1,507MVPs
311Hours (in match)
867Bombs planted
172Bombs defused

Most-used weapons

Lifetime map wins

1,381dust2
868nuke
652inferno
230office
229train
221vertigo
91lake
51italy

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.

10.9%Headshot accuracy
31.2%Accuracy (enemy spotted)
34.1%Spray accuracy
69.5%Counter-strafing
13.5°Preaim
584msReaction time
46.6%T opening success
49.9%CT opening success
0.51Enemies flashed / flash
1.8%Flash assists
2.71HE damage / grenade
3.73Flashes / 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 13.4947° — above the 12° mark we flag

    Aim Training →
  2. 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 10.8956% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

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

    Flashes per match 3.7305 — 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.

25% win rate across 12 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
nuke8–130.027%20 Oct →
inferno13–30.1013%16 Oct →
cache11–13-0.0413%13 Oct →
anubis13–70.0214%11 Oct →
inferno4–130.0613%11 Oct →
ancient9–120.016%19 Sept →
mirage13–90.0710%10 Sept →
anubis13–110.058%31 Aug →
dust21–12-0.0521%28 Aug →
dust28–130.0618%17 Aug →
nuke13–110.079%15 Aug →
anubis2–13-0.0614%10 Aug →
mirage7–13-0.0514%10 Aug →
nuke9–130.0418%9 Aug →
ancient13–40.004%8 Aug →
nuke13–90.045%8 Aug →
anubis13–7-0.0216%7 Aug →
anubis15–150.005%5 Aug →
mirage13–20.024%4 Aug →
nuke5–13-0.098%2 Aug →
cache13–80.0311%2 Aug →
nuke13–3-0.0114%2 Aug →
anubis13–6-0.0316%1 Aug →
inferno14–160.028%1 Aug →
nuke13–70.038%31 Jul →
nuke12–16-0.0014%31 Jul →
anubis13–6-0.045%30 Jul →
nuke14–16-0.018%30 Jul →
cache13–60.0716%30 Jul →
dust211–13-0.0514%30 Jul →
dust214–16-0.0321%29 Jul →
nuke10–13-0.0210%28 Jul →
nuke12–12-0.089%28 Jul →
ancient16–120.0316%28 Jul →
ancient9–130.007%26 Jul →
dust20–2-0.110%18 Jul →
nuke11–13-0.0311%18 Jul →
ancient2–6-0.024%18 Jul →
vertigo9–130.0011%17 Jul →
boulder5–60.1413%17 Jul →
fachwerk5–20.0511%16 Jul →
fachwerk13–60.0615%16 Jul →
office10–130.0021%16 Jul →
mirage13–11-0.069%16 Jul →
ancient13–60.0411%16 Jul →
dust28–13-0.0414%16 Jul →
nuke13–8-0.0214%16 Jul →
inferno13–10-0.0212%15 Jul →
cache13–5-0.0414%15 Jul →
dust213–110.0711%11 Jul →
mirage13–80.1312%11 Jul →
nuke7–13-0.0711%11 Jul →
inferno10–13-0.1010%11 Jul →
shelter2–13-0.028%11 Jul →
mirage16–120.045%10 Jul →
mirage13–11-0.039%9 Jul →
cache11–13-0.058%9 Jul →
nuke10–13-0.003%9 Jul →
stronghold13–80.035%8 Jul →
cache10–130.0216%8 Jul →
italy11–130.1614%3 Jul →
office12–120.0811%3 Jul →
ancient13–10-0.083%3 Jul →
office13–100.0918%29 Jun →
mirage7–13-0.0111%29 Jun →
alpine13–5-0.0133%28 Jun →
stronghold6–13-0.0110%25 Jun →
nuke5–130.028%24 Jun →
ancient6–13-0.045%24 Jun →
nuke9–13-0.0520%24 Jun →
overpass9–13-0.0415%21 Jun →
dust27–13-0.015%21 Jun →
mirage9–130.018%21 Jun →
overpass9–13-0.0511%21 Jun →
nuke10–130.0711%21 Jun →
anubis13–70.075%10 Jun →
ancient13–110.017%10 Jun →
nuke13–11-0.054%10 Jun →
nuke13–80.0721%1 Jun →
inferno13–30.0717%1 Jun →
ancient11–130.0211%26 May →
cache13–110.0112%26 May →
cache11–130.0611%23 May →
mirage13–90.0316%21 May →
sanctum9–2-0.0910%21 May →
dust25–13-0.0850%4 May →
dust213–80.059%3 May →
mirage13–30.1025%3 May →
dust213–20.1317%3 May →
ancient8–13-0.0023%3 May →
mirage13–100.0917%3 May →
nuke13–90.0113%14 Apr →
dust28–13-0.038%31 Mar →
mirage16–14-0.036%26 Mar →
anubis14–16-0.045%26 Mar →
anubis13–8-0.018%18 Mar →
mirage13–8-0.0512%18 Mar →
anubis13–80.0218%17 Mar →
ancient13–80.029%13 Mar →
overpass13–8-0.0611%13 Mar →

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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