AmmoK

AmmoK — CS2 Stats

76561198008445686[U:1:48179958]Steam profile ↗✓ No bans

7,408Tracked matches43%Win rate2020Tracked since
11,626Hours in CS70Hrs last 2 wks
CSDB Rating5.7 SolidSupport
FaceitLevel 8 · 1,731 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,731 → 1,731
+167Tracked matches · now 7,408
−3.3ppWin rate · 46.7% → 43.3%

Rating over time

Faceit ELO: 1,731 +0 7 Sept – 15 Sept · 3 observations
1,7311,731peak 1,7317 Sept15 Sept
1,731Highest Faceit ELO seen on CSDB
62Days played since 2026-05-31

Faceit ELO

  • At peak — 1,731
  • Next: Level 9 at 1,751 — 20 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-07
  • Level 7 first seen 2026-09-07

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate47.8%46.8%48.2%meets
Shot accuracy13.4%13.0%13.2%meets
Kill/death ratio0.931.061.070.14 short
Match win rate43.9%46.3%46.9%3.1% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAmmoKFACEITLevel 8 · 1,731 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,731csdb.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

Aim67
Positioning59
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateLWLLWWWWWL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +0.3pp headshot accuracy · +15ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 617ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 596ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 589ms

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 (+2.2 against its own average).

Aim6.7
Utility6.8
Positioning5.9
Opening Duels2.0
Clutch3.8

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

iM

Plays most like iM 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 584ms 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

Aim6.7
Positioning5.9
Utility6.8
Mechanics6.9
Opening Duels4.4
Win Impact2.8

Composite 5.7/10 (Solid), 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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time596ms−67ms
first ⅓ avg 663ms → last ⅓ avg 596ms
Headshot accuracy17.5%−2.2%
first ⅓ avg 19.7% → last ⅓ avg 17.5%

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

0.07Best match rating · 13–8 · inferno, 21 Sept →
30%Best headshot accuracy · 11–13 · ancient, 21 Sept →
469msFastest reaction time · 18–22 · inferno, 2 Oct →
13–3Biggest win · dust2, 10 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–3In matches decided by ≤2 rounds
18Overtime games

Map breakdown

anubisBest map · 71% over 7nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA3521–1460%-0.01
ancientC207–1335%-0.02
dust2C208–1240%0.00
nukeD123–925%-0.01
anubisS75–271%-0.02
cache—42–250%-0.00
mirage—20–20%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

303,548Lifetime kills
0.93K/D
14,215Matches
43.9%Match win rate
47.8%Headshot % · Top 50% of Level 8 players
13.4%Shot accuracy · Top 50% of Level 8 players
36,560MVPs
6,983Hours (in match)
17,479Bombs planted
4,360Bombs defused

Most-used weapons

AK-47109,389
AWP27,160
Glock-1813,640
FAMAS10,858
Knife6,119

Lifetime map wins

43,388inferno
40,705dust2
17,052nuke
3,109train
2,321vertigo
1,588cbble
808dust
586aztec

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

Faceit stats

Combat

7,786Matches
49%Win rate
0.97Avg K/D
72.2ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2120049%0.9614.9
Inferno119952%0.9915.0
Ancient68049%0.9615.5
Nuke60753%1.0015.7
Anubis38844%0.9515.4
Mirage13035%0.8713.8
Overpass10755%0.9515.2
Train8138%0.9014.8

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.

17.7%Headshot accuracy
40.4%Accuracy (enemy spotted)
39.4%Spray accuracy
81.0%Counter-strafing
14.3°Preaim
584msReaction time
61.4%T opening success
33.9%CT opening success
0.61Enemies flashed / flash
10.6%Flash assists
11.32HE damage / grenade
17.22Flashes / 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 14.2549° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0910%24 Oct →
ancient13–11-0.0318%24 Oct →
ancient13–160.0721%24 Oct →
dust27–130.0021%23 Oct →
dust213–60.0318%23 Oct →
nuke13–90.0221%22 Oct →
nuke13–6-0.0213%21 Oct →
nuke13–6-0.0426%19 Oct →
inferno13–100.0112%19 Oct →
ancient8–130.0119%18 Oct →
dust213–70.0319%17 Oct →
dust23–13-0.0319%17 Oct →
inferno7–13-0.049%14 Oct →
nuke10–130.0116%12 Oct →
ancient13–80.0316%12 Oct →
dust213–30.0223%10 Oct →
nuke16–190.0524%10 Oct →
ancient13–9-0.0123%10 Oct →
nuke7–130.0216%9 Oct →
ancient4–130.0214%9 Oct →
nuke9–130.0423%9 Oct →
nuke9–13-0.0317%8 Oct →
inferno13–110.0120%8 Oct →
dust213–160.0212%8 Oct →
anubis16–13-0.0313%6 Oct →
inferno13–50.0212%5 Oct →
nuke3–13-0.028%2 Oct →
inferno18–22-0.0220%2 Oct →
dust27–13-0.098%1 Oct →
ancient11–13-0.0330%21 Sept →
ancient6–130.0118%21 Sept →
inferno13–80.0728%21 Sept →
anubis8–13-0.0711%20 Sept →
anubis13–80.0111%20 Sept →
dust27–130.0221%20 Sept →
ancient8–13-0.0317%20 Sept →
anubis13–10-0.0125%20 Sept →
ancient13–80.018%19 Sept →
ancient5–13-0.0414%11 Sept →
inferno22–19-0.0213%10 Sept →
inferno16–120.018%7 Sept →
inferno13–100.0324%7 Sept →
nuke16–19-0.0320%6 Sept →
inferno13–6-0.0125%26 Aug →
inferno13–70.0311%22 Aug →
inferno19–170.0125%20 Aug →
dust28–130.0113%18 Aug →
ancient11–13-0.0417%18 Aug →
dust213–80.0117%17 Aug →
inferno13–60.0314%17 Aug →
inferno10–13-0.0124%16 Aug →
ancient5–13-0.0619%14 Aug →
inferno8–13-0.0228%11 Aug →
nuke6–13-0.0317%11 Aug →
dust213–70.0427%9 Aug →
inferno10–13-0.0321%9 Aug →
inferno10–13-0.0319%8 Aug →
ancient7–13-0.0426%6 Aug →
inferno13–7-0.0320%4 Aug →
inferno13–80.0021%28 Jul →
dust213–100.0321%27 Jul →
cache9–13-0.0318%26 Jul →
ancient13–9-0.0511%25 Jul →
ancient13–7-0.0419%24 Jul →
dust24–13-0.0219%22 Jul →
inferno13–16-0.0418%21 Jul →
ancient12–16-0.077%20 Jul →
inferno14–16-0.0113%19 Jul →
inferno9–13-0.028%19 Jul →
dust26–130.0129%18 Jul →
inferno19–17-0.0123%18 Jul →
ancient16–140.0127%8 Jul →
anubis6–13-0.0311%7 Jul →
inferno13–50.0217%7 Jul →
ancient10–13-0.0318%6 Jul →
cache13–7-0.0423%6 Jul →
dust210–13-0.0418%5 Jul →
dust29–13-0.0424%5 Jul →
inferno10–13-0.0218%30 Jun →
inferno19–17-0.0219%27 Jun →
mirage10–13-0.0117%23 Jun →
dust213–50.0517%22 Jun →
inferno8–13-0.0428%21 Jun →
anubis13–4-0.0011%21 Jun →
dust213–40.0722%21 Jun →
inferno13–8-0.0221%16 Jun →
inferno9–13-0.0421%16 Jun →
inferno16–14-0.0425%14 Jun →
dust28–13-0.0529%12 Jun →
inferno13–11-0.0114%12 Jun →
inferno13–11-0.0118%10 Jun →
inferno9–13-0.0118%10 Jun →
anubis16–14-0.0414%9 Jun →
inferno13–5-0.0230%9 Jun →
ancient16–19-0.0024%7 Jun →
cache13–60.0514%7 Jun →
dust29–13-0.0123%7 Jun →
cache6–13-0.0018%7 Jun →
inferno8–130.0128%1 Jun →
nuke10–13-0.0411%31 May →

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 →

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