Am1ne

Am1ne — CS2 Stats

76561199582443148[U:1:1622177420]Steam profile ↗✓ No bans

2,403Tracked matches66%Win rate2023Tracked since
2,704Hours in CS12Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating10,120Blue band · top ~54.3% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). 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: 10,120 +2,127 1 Sept – 14 Nov · 32 days played
7,41210,504peak 10,5041 Sept14 Nov
10,504Peak Premier in tracked matches
49Days played since 2026-07-22

Premier CS Rating

  • 384 below peak (10,504)
  • +17 over 30 days · steady
  • Next: Purple band at 15,000 — 4,880 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-10-25
  • Light Blue band first seen 2026-09-17

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 4 among CSDB-tracked players (n=14,911), 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 4 medianLevel 5 medianvs Level 5
Headshot rate51.3%42.7%43.8%above
Shot accuracy0.2%11.2%12.0%11.8% short
Kill/death ratio0.770.991.020.25 short
Match win rate48.5%43.9%44.7%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAm1neFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,120 · Blue bandcsdb.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

Aim51
Positioning49
Utility53

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateWLWLWWWWLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +3.8pp headshot accuracy · +7ms reaction

Win rate up 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 649ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 639ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 636ms

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 (+1.7 against its own average).

Aim5.1
Utility5.3
Positioning4.9
Opening Duels1.5
Clutch2.8

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

Twistzz

Plays most like Twistzz 76% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 53% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 635ms 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

Aim5.1
Positioning4.9
Utility5.3
Mechanics5.3
Opening Duels3.3
Win Impact10.0

Composite 5.2/10 (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 rating0.03+0.04
first ⅓ avg -0.01 → last ⅓ avg 0.03
Reaction time634ms−41ms
first ⅓ avg 675ms → last ⅓ avg 634ms
Headshot accuracy16.7%−1.3%
first ⅓ avg 18.1% → last ⅓ avg 16.7%

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 · 13–4 · mirage, 19 Aug →
40%Best headshot accuracy · 4–0 · anubis, 27 Jul →
477msFastest reaction time · 13–7 · inferno, 7 Sept →
13–0Biggest win · nuke, 25 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 70% over 10anubisWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2S2215–768%-0.02
mirageC188–1044%-0.00
infernoB179–853%0.01
anubisC146–843%0.00
nukeB126–650%0.02
ancientS107–370%-0.00
cacheA74–357%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,322Lifetime kills
0.77K/D
3,688Matches
48.5%Match win rate · Top 25% of Level 4 players
51.3%Headshot % · Top 25% of Level 4 players
0.2%Shot accuracy
6,473MVPs
1,598Hours (in match)
3,659Bombs planted
838Bombs defused

Most-used weapons

AK-4711,636
MP92,449
AWP2,089
MAC-101,733
FAMAS1,592

Lifetime map wins

10,682dust2
4,655inferno
1,330nuke
1,145vertigo
866train
87italy
33office
22cbble

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

Faceit stats

Combat

408Matches
48%Win rate
0.84Avg K/D
69.4ADR
51%Headshot %

Clutches & streaks

34%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage14651%0.8712.9
Dust28745%0.8011.8
Ancient5143%0.8412.6
Anubis3951%0.8712.2
Inferno3342%0.8412.6
Nuke2665%1.0112.8
Cache1839%0.7411.0
Overpass450%0.466.8

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.

16.5%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.0%Spray accuracy
73.8%Counter-strafing
10.1°Preaim
635msReaction time
52.7%T opening success
33.4%CT opening success
0.52Enemies flashed / flash
1.8%Flash assists
6.52HE damage / grenade
8.88Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.3738% — below the 40% mark we flag

Spend your practice time on Anubis

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–100.0225%14 Nov →
inferno5–13-0.0316%7 Nov →
mirage13–20.0127%6 Nov →
anubis9–13-0.0513%24 Oct →
nuke13–30.0912%24 Oct →
cache13–40.0417%22 Oct →
ancient13–100.0420%10 Oct →
anubis13–80.0610%10 Oct →
inferno11–13-0.0221%10 Oct →
ancient13–80.0223%9 Oct →
nuke5–130.1220%9 Oct →
dust213–50.0122%8 Oct →
anubis13–50.0310%3 Oct →
inferno13–110.049%2 Oct →
ancient3–13-0.0413%2 Oct →
cache16–140.0812%2 Oct →
anubis9–130.0611%2 Oct →
mirage13–30.0914%30 Sept →
ancient13–160.0422%30 Sept →
mirage15–150.0113%30 Sept →
anubis13–60.0229%30 Sept →
inferno3–13-0.0110%30 Sept →
inferno13–80.0814%30 Sept →
inferno13–70.0512%30 Sept →
dust213–110.0116%29 Sept →
ancient13–40.0214%29 Sept →
cache13–80.0716%29 Sept →
dust28–13-0.0720%29 Sept →
inferno13–5-0.0113%28 Sept →
nuke10–130.0722%28 Sept →
mirage7–130.0722%26 Sept →
nuke13–80.0323%26 Sept →
mirage9–13-0.0813%25 Sept →
anubis13–30.0215%25 Sept →
nuke13–00.0614%25 Sept →
inferno13–10.0513%25 Sept →
mirage8–130.0423%24 Sept →
nuke15–15-0.0228%24 Sept →
dust211–130.0720%23 Sept →
dust24–13-0.0713%23 Sept →
mirage13–5-0.0415%23 Sept →
mirage4–13-0.057%20 Sept →
nuke8–130.0310%19 Sept →
ancient13–50.0019%19 Sept →
anubis11–13-0.0518%17 Sept →
cache6–130.0222%17 Sept →
dust213–11-0.0111%17 Sept →
dust215–15-0.0218%16 Sept →
nuke6–13-0.0322%14 Sept →
anubis13–4-0.0124%14 Sept →
cache13–20.1314%12 Sept →
nuke11–130.0013%12 Sept →
anubis3–13-0.048%10 Sept →
mirage13–70.0112%10 Sept →
anubis5–130.0524%10 Sept →
mirage0–6-0.0024%10 Sept →
ancient13–10-0.0818%9 Sept →
nuke13–10-0.0517%9 Sept →
anubis13–16-0.0320%8 Sept →
dust213–8-0.0218%8 Sept →
dust210–13-0.0510%8 Sept →
mirage13–11-0.0519%8 Sept →
nuke13–8-0.0124%7 Sept →
inferno13–70.0314%7 Sept →
dust213–2-0.0810%7 Sept →
ancient1–13-0.0821%6 Sept →
mirage13–110.0412%6 Sept →
dust216–130.0124%6 Sept →
anubis11–13-0.0016%4 Sept →
mirage13–16-0.0210%4 Sept →
nuke16–14-0.065%3 Sept →
dust213–40.0318%1 Sept →
inferno13–70.0720%1 Sept →
mirage6–13-0.1413%28 Aug →
cache6–13-0.0125%20 Aug →
mirage13–40.1519%19 Aug →
dust213–60.0126%19 Aug →
dust213–4-0.0822%19 Aug →
anubis8–13-0.0817%19 Aug →
dust213–70.016%15 Aug →
dust216–13-0.039%13 Aug →
dust29–7-0.0323%12 Aug →
mirage13–8-0.0514%9 Aug →
mirage8–13-0.0310%9 Aug →
inferno5–9-0.1817%8 Aug →
mirage9–130.0119%7 Aug →
cache11–13-0.0816%7 Aug →
ancient13–70.0414%6 Aug →
inferno6–13-0.0717%1 Aug →
dust213–5-0.0310%31 Jul →
dust27–13-0.0633%31 Jul →
inferno9–70.0236%31 Jul →
inferno4–13-0.0327%30 Jul →
inferno8–130.0019%30 Jul →
inferno13–40.0816%28 Jul →
inferno11–130.0414%27 Jul →
anubis4–00.0740%27 Jul →
dust28–13-0.079%24 Jul →
dust213–10-0.0320%23 Jul →
dust213–80.0514%22 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.