AJd1m

AJd1m — CS2 Stats

PH76561199098825731[U:1:1138560003]Steam profile ↗✓ No bans

2,861Tracked matches50%Win rate2020Tracked since
1,922Hours in CS
CSDB Rating6.5 SolidSupport
Premier CS Rating24,153Top 25% of 215,386 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)
CSDB Leaderboard#31649 of 261555 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−235Premier CS Rating · 24,388 → 24,153

Rating over time

Premier CS Rating: 24,153 +5,532 21 Aug – 14 Nov · 32 days played
17,47324,388peak 24,38821 Aug14 Nov
Faceit ELO: 1,953 +0 29 Aug – 4 Sept · 2 observations
1,9531,953peak 1,95329 Aug4 Sept
24,388Peak Premier in tracked matches
1,953Highest Faceit ELO seen on CSDB
36Days played since 2026-08-21

Premier CS Rating

  • 235 below peak (24,388)
  • +1,356 over 30 days · improving
  • +5,532 over 90 days
  • Next: Red band at 25,000 — 847 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-10-31
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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=30,986), 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 rate40.4%50.9%
Shot accuracy5.0%13.7%
Kill/death ratio0.991.09
Match win rate48.6%48.4%

Share this profile

CSDB.GGAJd1mFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER24,153 · Pink bandPEAK ELO1,953csdb.gg/stats

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Performance scores

Aim78
Positioning60
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLWTLWLWWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −2.6pp headshot accuracy · +52ms reaction

Win rate down 20pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 593ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 658ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 14%
  • Avg reaction 632ms

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).

Aim7.8
Utility6.5
Positioning6.0
Opening Duels1.5
Clutch3.4

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 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

CT openings. Opening success drops from 49% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 619ms 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

Aim7.8
Positioning6.0
Utility6.5
Mechanics7.5
Opening Duels2.7
Win Impact5.0

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time620ms+41ms
first ⅓ avg 578ms → last ⅓ avg 620ms
Headshot accuracy14.3%−1.1%
first ⅓ avg 15.4% → last ⅓ avg 14.3%

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

0.19Best match rating · 13–1 · anubis, 22 Oct →
35%Best headshot accuracy · 10–13 · mirage, 26 Aug →
414msFastest reaction time · 13–1 · anubis, 10 Sept →
13–1Biggest win · anubis, 4 Nov →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 71% over 17infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2916–1355%0.02
ancientB189–950%0.03
dust2A1810–856%0.02
anubisS1712–571%0.04
infernoC114–736%0.02
nuke—42–250%0.02
cache—10–10%-0.04
vertigo—11–0100%-0.03
office—10–10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,095Lifetime kills
0.99K/D
4,538Matches
48.6%Match win rate · Top 50% of Level 10 players
40.4%Headshot %
5.0%Shot accuracy
9,170MVPs
1,922Hours (in match)
7,187Bombs planted
1,080Bombs defused

Most-used weapons

AK-4728,348
AWP3,678
MP92,050
MAC-101,837
Tec-91,763

Lifetime map wins

10,127dust2
5,918inferno
1,922vertigo
1,291nuke
329train
56office
1cbble

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

Faceit stats

Combat

1,397Matches
52%Win rate
1.01Avg K/D
73.9ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage38853%1.0114.3
Anubis31157%1.0615.1
Ancient28256%1.0615.0
Inferno17340%0.9713.5
Dust29050%1.0115.5
Vertigo6250%0.9313.4
Nuke3241%0.9414.7
Overpass2948%0.9013.8

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.

14.3%Headshot accuracy
41.0%Accuracy (enemy spotted)
41.9%Spray accuracy
83.8%Counter-strafing
9.3°Preaim
619msReaction time
49.0%T opening success
32.7%CT opening success
0.60Enemies flashed / flash
14.3%Flash assists
6.38HE damage / grenade
9.23Flashes / 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. 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 14.2592% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 32.717% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0110%14 Nov →
mirage13–70.0212%13 Nov →
inferno12–120.0415%13 Nov →
ancient4–130.1712%13 Nov →
ancient13–3-0.0216%13 Nov →
mirage9–130.0311%11 Nov →
dust213–30.1211%10 Nov →
dust213–20.0211%10 Nov →
ancient7–130.0511%4 Nov →
inferno8–13-0.0120%4 Nov →
anubis13–10.1015%4 Nov →
dust27–130.049%4 Nov →
dust26–130.0316%4 Nov →
mirage5–100.1419%3 Nov →
inferno13–70.0312%3 Nov →
mirage8–13-0.0416%3 Nov →
anubis13–10.1922%22 Oct →
ancient13–11-0.0014%21 Oct →
mirage13–80.1018%20 Oct →
ancient13–3-0.0114%20 Oct →
dust214–160.0212%20 Oct →
nuke4–13-0.047%20 Oct →
nuke13–80.0518%20 Oct →
anubis8–13-0.0117%20 Oct →
cache6–13-0.0415%19 Oct →
anubis13–8-0.0214%11 Oct →
mirage13–60.0111%11 Oct →
dust213–9-0.0221%10 Oct →
anubis15–15-0.0114%10 Oct →
anubis11–130.0217%9 Oct →
mirage13–9-0.0215%9 Oct →
anubis13–70.0419%9 Oct →
dust213–60.0211%8 Oct →
mirage13–70.0216%8 Oct →
mirage13–40.049%8 Oct →
mirage9–130.0210%8 Oct →
dust213–80.1518%8 Oct →
inferno12–12-0.0020%7 Oct →
mirage13–110.0113%7 Oct →
dust29–13-0.0711%7 Oct →
dust26–13-0.0212%5 Oct →
vertigo13–11-0.0312%25 Sept →
inferno13–90.0612%24 Sept →
dust213–30.1412%23 Sept →
dust213–8-0.0320%20 Sept →
anubis13–7-0.0219%20 Sept →
dust27–13-0.0311%20 Sept →
mirage13–80.0212%20 Sept →
dust213–7-0.0518%20 Sept →
ancient13–90.0619%18 Sept →
inferno13–70.1420%18 Sept →
ancient6–130.0315%17 Sept →
anubis13–70.019%17 Sept →
ancient13–50.0411%17 Sept →
ancient13–110.0320%17 Sept →
mirage7–13-0.0115%17 Sept →
mirage13–100.0219%17 Sept →
mirage5–130.0314%17 Sept →
mirage16–140.0417%16 Sept →
ancient4–10-0.0418%16 Sept →
mirage3–130.0525%15 Sept →
inferno13–70.0413%15 Sept →
anubis13–110.075%12 Sept →
anubis5–130.0421%12 Sept →
dust29–13-0.0318%12 Sept →
inferno4–13-0.076%10 Sept →
ancient6–130.0010%10 Sept →
anubis13–70.0514%10 Sept →
ancient13–20.1415%10 Sept →
anubis13–10.0418%10 Sept →
inferno7–130.0212%10 Sept →
dust213–10.0212%10 Sept →
ancient10–130.0011%9 Sept →
mirage13–60.0610%9 Sept →
anubis8–130.0325%8 Sept →
anubis13–3-0.0320%8 Sept →
ancient13–90.0312%8 Sept →
mirage13–70.0016%8 Sept →
ancient6–13-0.0211%7 Sept →
mirage1–13-0.039%7 Sept →
mirage13–50.0616%7 Sept →
ancient13–100.0313%7 Sept →
inferno5–13-0.0417%4 Sept →
inferno11–13-0.0415%4 Sept →
mirage16–140.0212%4 Sept →
nuke16–12-0.0311%4 Sept →
mirage11–13-0.0110%3 Sept →
ancient9–13-0.0326%3 Sept →
office7–13-0.0115%2 Sept →
nuke7–130.1020%2 Sept →
mirage13–90.0316%30 Aug →
dust213–60.0518%30 Aug →
mirage10–130.0635%26 Aug →
mirage10–13-0.0413%26 Aug →
ancient14–160.0213%26 Aug →
mirage13–5-0.0124%26 Aug →
anubis13–80.029%24 Aug →
anubis13–80.0915%24 Aug →
dust25–13-0.0217%24 Aug →
mirage10–130.0710%21 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.