ame

ame — CS2 Stats

KG76561199039634845[U:1:1079369117]Steam profile ↗✓ No bans

932Tracked matches55%Win rate2021Tracked since
1,907Hours in CS21Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
FaceitLevel 10 · 1,431 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (65 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,431 → 1,431
+97Tracked matches · now 932
+8.7ppWin rate · 46.4% → 55.2%

Rating over time

1,431Highest Faceit ELO seen on CSDB
53Days played since 2026-03-11

Faceit ELO

  • At peak — 1,431
  • Next: Level 8 at 1,531 — 100 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-11
  • Level 6 first seen 2026-09-11

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 10 among CSDB-tracked players (n=31,884), 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 10 median
Headshot rate38.1%50.9%
Shot accuracy9.9%13.7%
Kill/death ratio0.941.09
Match win rate42.4%48.4%

Share this profile

CSDB.GGameFACEITLevel 10 · 1,431 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,431csdb.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

Aim78
Positioning77
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWLLTLWWWWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +4.2pp headshot accuracy · +83ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 677ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 595ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 553ms

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 (+3.1 against its own average).

Aim7.8
Utility1.1
Positioning7.7
Opening Duels6.7
Clutch2.8

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

s1mple

Plays most like s1mple 63% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 75% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 75% on T to 58% on CT — first contacts on the defending side are being lost.

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

Aim7.8
Positioning7.7
Utility1.1
Mechanics4.8
Opening Duels8.5
Win Impact6.7

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time520ms−79ms
first ⅓ avg 599ms → last ⅓ avg 520ms
Headshot accuracy18.8%+0.6%
first ⅓ avg 18.3% → last ⅓ avg 18.8%

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

0.22Best match rating · 13–6 · anubis, 17 Mar →
40%Best headshot accuracy · 8–13 · dust2, 21 Sept →
328msFastest reaction time · 8–13 · dust2, 21 Sept →
13–2Biggest win · anubis, 6 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
2–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 67% over 21nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
anubisB2714–1352%0.03
mirageB2211–1150%0.02
dust2S2114–767%0.01
nukeD123–925%0.02
infernoA116–555%0.02
ancientA53–260%0.05
vertigo—10–10%0.10
cache—11–0100%0.01

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

63,127Lifetime kills
0.94K/D
3,205Matches
42.4%Match win rate
38.1%Headshot %
9.9%Shot accuracy
6,799MVPs
1,064Hours (in match)
1,902Bombs planted
595Bombs defused

Most-used weapons

AK-4715,495
AWP12,992
MAC-102,932
MP92,512
Knife1,394
P901,252

Lifetime map wins

4,664dust2
3,482inferno
2,821nuke
992vertigo
210lake
127train
75safehouse
51ar_shoots

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

Faceit stats

Combat

861Matches
51%Win rate
1.13Avg K/D
81.0ADR
37%Headshot %

Clutches & streaks

34%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage23747%1.1116.3
Dust217754%1.1516.6
Anubis11355%1.2216.9
Ancient7949%1.0716.0
Nuke6444%1.1015.9
Inferno4755%1.1315.8
Cache1145%0.8715.0
Overpass944%1.1416.8

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.

18.5%Headshot accuracy
36.6%Accuracy (enemy spotted)
40.9%Spray accuracy
71.6%Counter-strafing
8.8°Preaim
515msReaction time
75.2%T opening success
57.7%CT opening success
0.12Enemies flashed / flash
0.0%Flash assists
7.84HE damage / grenade
1.37Flashes / 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 0.1182 — below the 0.5 mark we flag

    Grenade Lineups →
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
inferno13–8-0.0136%10 Nov →
anubis3–12-0.0921%7 Nov →
mirage7–130.0120%7 Nov →
dust212–120.0123%6 Nov →
nuke8–13-0.038%6 Nov →
anubis13–2-0.0320%6 Nov →
mirage13–40.1019%6 Nov →
anubis13–100.0723%6 Nov →
mirage13–80.0523%5 Nov →
anubis4–130.1815%5 Nov →
mirage5–130.0622%5 Nov →
mirage7–130.0122%5 Nov →
dust213–20.0421%4 Nov →
ancient13–60.0918%1 Nov →
anubis6–130.1015%1 Nov →
mirage13–100.1122%31 Oct →
mirage6–13-0.0410%28 Oct →
anubis13–110.0616%28 Oct →
anubis11–13-0.0112%28 Oct →
anubis8–130.009%27 Oct →
anubis13–70.0030%12 Oct →
dust213–9-0.0119%12 Oct →
ancient13–8-0.0011%12 Oct →
mirage16–13-0.0110%11 Oct →
mirage13–60.1523%9 Oct →
mirage9–13-0.029%6 Oct →
dust213–80.1020%6 Oct →
dust213–100.0324%3 Oct →
dust211–130.0417%1 Oct →
dust28–13-0.0740%21 Sept →
nuke7–130.0510%19 Sept →
inferno13–20.0517%19 Sept →
anubis9–130.0216%16 Sept →
anubis6–13-0.077%15 Sept →
dust213–60.0822%1 Sept →
anubis10–130.0414%23 Aug →
dust213–70.1410%23 Aug →
inferno8–13-0.0421%19 Aug →
nuke9–50.1019%8 Aug →
mirage13–70.1617%8 Aug →
nuke5–130.0321%8 Aug →
ancient13–70.0925%5 Aug →
mirage13–100.0511%5 Aug →
mirage7–13-0.0522%5 Aug →
nuke13–80.1117%5 Aug →
mirage13–4-0.0210%5 Aug →
vertigo12–120.1016%3 Aug →
inferno7–130.0621%3 Aug →
inferno13–20.1214%3 Aug →
anubis13–40.089%3 Aug →
ancient7–130.0317%29 Jul →
inferno5–13-0.054%27 Jul →
cache16–130.0120%26 Jul →
dust210–130.0224%23 Jul →
anubis13–7-0.0113%22 Jul →
mirage13–8-0.0321%26 Jun →
nuke2–13-0.060%23 Jun →
anubis5–13-0.0219%9 Jun →
anubis5–130.0617%9 Jun →
ancient4–130.0322%20 May →
mirage12–120.0416%16 May →
nuke11–130.1014%16 May →
inferno10–10.0620%16 May →
nuke7–130.0017%12 May →
inferno13–100.0422%10 May →
nuke6–13-0.093%10 May →
dust213–20.0527%7 May →
dust213–70.0425%5 May →
dust212–160.0526%5 May →
anubis6–13-0.0816%4 May →
anubis10–13-0.0212%3 May →
inferno12–12-0.0322%20 Apr →
dust213–9-0.0729%17 Apr →
anubis13–30.0428%17 Apr →
nuke10–130.0117%17 Apr →
inferno5–130.0218%17 Apr →
anubis13–40.0613%17 Apr →
anubis9–13-0.079%16 Apr →
mirage13–7-0.0315%15 Apr →
anubis13–10-0.038%15 Apr →
inferno13–70.0526%13 Apr →
anubis13–110.0524%12 Apr →
anubis13–90.0515%29 Mar →
dust213–40.0320%27 Mar →
dust213–80.008%20 Mar →
dust211–13-0.0524%20 Mar →
nuke4–130.0020%20 Mar →
dust213–80.0123%20 Mar →
mirage13–30.040%20 Mar →
dust29–13-0.0718%20 Mar →
mirage3–13-0.0814%20 Mar →
mirage1–13-0.0426%20 Mar →
anubis13–40.1316%20 Mar →
dust213–10-0.0320%20 Mar →
mirage5–13-0.0118%20 Mar →
mirage3–13-0.0322%18 Mar →
nuke13–80.0521%17 Mar →
anubis13–60.2217%17 Mar →
anubis13–100.0122%11 Mar →
dust216–12-0.0512%11 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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