AMIRIS3

AMIRIS3 — CS2 Stats

US76561198193271129[U:1:233005401]Steam profile ↗✓ No bans

507Tracked matches52%Win rate2020Tracked since
1,542Hours in CS
CSDB Rating3.9 LearningPositional Player
Premier CS Rating16,374Purple band · top ~22.9% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (63 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 507 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,374 -3,625 11 Dec – 13 Sept · 29 days played
15,83220,529peak 20,52911 Dec13 Sept
20,529Peak Premier in tracked matches
50Days played since 2023-12-11

Premier CS Rating

  • 4,155 below peak (20,529)
  • -1,110 over 30 days · declining
  • -363 over 90 days
  • Next: Pink band at 20,000 — 3,626 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

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 Purple band among CSDB-tracked players (n=42,517), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.4%44.4%46.9%4.5% short
Shot accuracy14.0%11.8%13.0%above
Kill/death ratio0.991.031.080.09 short
Match win rate39.9%45.3%46.7%6.8% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAMIRIS3PREMIER16,374 · Purple bandcsdb.gg/stats

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Performance scores

Aim42
Positioning41
Utility26

0–100 skill scores via Leetify.

Recent form

COLD56–41–3Last 10056%Win rateWLWLLLWLLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · −8.0pp headshot accuracy · +14ms reaction

Win rate down 50pp 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 -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 594ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 600ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 593ms

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).

Aim4.2
Utility2.6
Positioning4.1
Opening Duels1.2
Clutch0.0

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 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 593ms 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

Aim4.2
Positioning4.1
Utility2.6
Mechanics5.3
Opening Duels0.8
Win Impact5.6

Composite 3.9/10 (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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time593ms−24ms
first ⅓ avg 617ms → last ⅓ avg 593ms
Headshot accuracy24.5%+4.4%
first ⅓ avg 20.1% → last ⅓ avg 24.5%

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

0.15Best match rating · 13–8 · nuke, 13 Feb →
44%Best headshot accuracy · 9–5 · inferno, 29 Jul →
375msFastest reaction time · 0–9 · inferno, 14 Feb →
13–1Biggest win · dust2, 23 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 72% over 25mirageWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB2614–1254%-0.01
nukeS2518–772%0.03
mirageD143–1121%-0.01
anubisA138–562%0.00
dust2B84–450%-0.02
ancientA53–260%-0.02
overpass—42–250%-0.05
cache—32–167%0.00
train—11–0100%0.05
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,581Lifetime kills
0.99K/D
3,373Matches
39.9%Match win rate
42.4%Headshot %
14.0%Shot accuracy · Top 50% of Purple band
6,759MVPs
1,542Hours (in match)
2,380Bombs planted
612Bombs defused

Most-used weapons

AK-4714,221
AWP5,904
P901,198
P2501,128
UMP-451,089
SSG 081,084

Lifetime map wins

6,681inferno
2,871nuke
2,723dust2
1,371train
867vertigo
422office
357lake
336cbble

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

Faceit stats

Combat

85Matches
55%Win rate
0.98Avg K/D
70.1ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

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.

23.9%Headshot accuracy
22.6%Accuracy (enemy spotted)
22.9%Spray accuracy
73.7%Counter-strafing
10.1°Preaim
593msReaction time
26.0%T opening success
36.1%CT opening success
0.25Enemies flashed / flash
4.1%Flash assists
9.18HE damage / grenade
4.75Flashes / 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 0.2519 — 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 26.0138% — below the 40% mark we flag

Spend your practice time on Mirage

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.0017%25 Aug →
anubis12–16-0.0616%24 Aug →
inferno13–30.0924%24 Aug →
dust211–130.0129%24 Aug →
nuke9–13-0.0915%24 Aug →
nuke8–13-0.0517%24 Aug →
cache13–4-0.059%24 Aug →
nuke13–16-0.0220%19 Aug →
dust212–160.0121%17 Aug →
inferno5–13-0.0624%17 Aug →
inferno14–16-0.0622%10 Aug →
anubis13–20.0425%10 Aug →
nuke13–7-0.0438%10 Aug →
ancient7–13-0.0125%9 Aug →
nuke8–00.0833%9 Aug →
ancient13–70.0328%6 Aug →
inferno16–120.0227%3 Aug →
nuke13–40.0241%3 Aug →
inferno13–5-0.0418%3 Aug →
dust213–5-0.0613%3 Aug →
inferno8–8-0.0442%31 Jul →
overpass6–9-0.0432%31 Jul →
inferno9–50.0737%31 Jul →
nuke9–40.1337%31 Jul →
anubis12–120.0315%31 Jul →
nuke9–20.0744%29 Jul →
nuke9–2-0.0010%29 Jul →
nuke9–30.0518%29 Jul →
nuke9–40.1235%29 Jul →
inferno2–9-0.200%29 Jul →
inferno9–50.0144%29 Jul →
inferno9–30.027%29 Jul →
nuke13–10-0.0124%27 Jul →
anubis5–13-0.0230%25 Jul →
dust213–1-0.0043%23 Jul →
mirage0–13-0.0233%23 Jul →
mirage10–13-0.0031%21 Jul →
dust25–13-0.0730%21 Jul →
inferno13–90.0224%21 Jul →
anubis8–13-0.0220%20 Jul →
inferno13–2-0.0325%17 Jul →
cache13–16-0.0213%16 Jul →
nuke6–130.0326%15 Jul →
inferno11–13-0.0615%15 Jul →
cache13–50.0722%15 Jul →
anubis5–13-0.0722%6 Jul →
mirage8–13-0.1021%22 Jun →
ancient13–8-0.0325%22 Jun →
nuke4–130.0026%22 Jun →
nuke13–1-0.0022%22 Jun →
mirage5–13-0.0421%13 May →
inferno12–30.0935%1 May →
mirage10–130.0329%1 May →
mirage13–50.0228%16 Apr →
anubis13–60.0027%6 Apr →
inferno7–130.0213%2 Apr →
mirage9–130.0327%27 Mar →
mirage13–110.0217%22 Mar →
mirage13–40.0423%20 Mar →
inferno13–110.0813%19 Mar →
mirage5–13-0.0919%25 Feb →
inferno6–13-0.0411%25 Feb →
dust213–50.0127%25 Feb →
nuke13–70.1213%20 Feb →
nuke13–11-0.0120%20 Feb →
mirage11–13-0.0817%19 Feb →
inferno0–9-0.1325%14 Feb →
nuke13–80.1519%13 Feb →
anubis13–60.0621%13 Feb →
inferno13–30.0316%13 Feb →
nuke13–80.1023%10 Feb →
mirage10–13-0.0013%9 Feb →
overpass13–110.0120%9 Feb →
anubis13–70.1029%9 Feb →
dust26–13-0.086%9 Feb →
dust213–9-0.0122%8 Feb →
inferno13–50.0518%6 Feb →
nuke13–11-0.0019%6 Feb →
inferno5–13-0.095%6 Feb →
nuke16–120.0311%5 Feb →
mirage10–130.0820%5 Feb →
inferno3–70.0120%5 Feb →
inferno13–110.0433%4 Feb →
nuke11–130.0218%4 Feb →
inferno13–3-0.029%2 Feb →
inferno6–13-0.048%30 Jan →
nuke13–8-0.0225%30 Jan →
nuke8–13-0.0122%30 Jan →
train13–70.0532%25 Nov →
anubis13–4-0.0329%27 Mar →
inferno6–13-0.1027%24 Mar →
anubis13–2-0.0321%23 Mar →
anubis13–90.0128%23 Mar →
overpass3–13-0.0841%19 Feb →
vertigo13–11-0.0221%22 Dec →
overpass13–9-0.0922%12 Dec →
ancient13–160.0025%12 Dec →
nuke13–100.0211%12 Dec →
ancient13–3-0.0726%11 Dec →
mirage15–15-0.056%11 Dec →

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 →

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