DJM

DJM — CS2 Stats

DE76561197972466166[U:1:12200438]Steam profile ↗✓ No bans

841Tracked matches47%Win rate2023Tracked since
1,725Hours in CS22Hrs last 2 wks
CSDB Rating5.9 SolidAll-Rounder
Premier CS Rating16,457Purple band · top ~22.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−41Premier CS Rating · 16,498 → 16,457

Rating over time

Premier CS Rating: 16,457 -2,112 13 Aug – 18 Oct · 36 days played
15,30220,196peak 20,19613 Aug18 Oct
20,196Peak Premier in tracked matches
36Days played since 2026-08-13

Premier CS Rating

  • 3,739 below peak (20,196)
  • -499 over 30 days · declining
  • Next: Pink band at 20,000 — 3,543 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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=37,767), 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 rate38.6%44.3%46.9%8.4% short
Shot accuracy9.0%11.9%13.0%4.0% short
Kill/death ratio1.021.031.080.06 short
Match win rate47.7%45.2%46.7%above

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

Widest gap: Shot accuracy. 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.GGDJMPREMIER16,457 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning56
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLLLLWWLLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −4.3pp headshot accuracy · −44ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 597ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 562ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 584ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.7
Utility5.4
Positioning5.6
Opening Duels3.6

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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 567ms 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

Aim7.7
Positioning5.6
Utility5.4
Mechanics5.2
Opening Duels5.0
Win Impact3.9

Composite 5.9/10 (Solid), 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-0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time568ms+25ms
first ⅓ avg 543ms → last ⅓ avg 568ms
Headshot accuracy14.1%−0.1%
first ⅓ avg 14.1% → last ⅓ avg 14.1%

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

0.12Best match rating · 13–11 · nuke, 16 Aug →
31%Best headshot accuracy · 13–3 · ancient, 16 Aug →
383msFastest reaction time · 13–7 · anubis, 4 Oct →
13–1Biggest win · nuke, 28 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
6–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 67% over 18infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2110–1148%0.01
nukeS1812–667%0.01
anubisS1711–665%0.01
cacheB147–750%0.01
ancientC125–742%-0.01
mirageD93–633%0.01
infernoD92–722%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,225Lifetime kills
1.02K/D
1,855Matches
47.7%Match win rate · Top 50% of Purple band
38.6%Headshot %
9.0%Shot accuracy
4,064MVPs
793Hours (in match)
2,402Bombs planted
370Bombs defused

Most-used weapons

Lifetime map wins

3,520dust2
3,404nuke
2,060inferno
283vertigo
185train
45office
19cbble
16dust

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

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
36.8%Accuracy (enemy spotted)
45.4%Spray accuracy
73.3%Counter-strafing
7.8°Preaim
567msReaction time
53.3%T opening success
46.7%CT opening success
0.58Enemies flashed / flash
3.2%Flash assists
6.36HE damage / grenade
10.76Flashes / 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 14.2561% — below the 15% mark we flag

    Aim Training →
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0115%18 Oct →
ancient6–13-0.058%17 Oct →
cache13–160.0111%17 Oct →
ancient7–130.0311%16 Oct →
mirage13–8-0.026%15 Oct →
anubis13–60.027%13 Oct →
anubis11–130.0518%13 Oct →
anubis11–13-0.042%12 Oct →
dust213–7-0.0418%12 Oct →
cache13–4-0.0825%11 Oct →
cache13–100.0712%11 Oct →
inferno10–130.0427%11 Oct →
dust210–13-0.0317%11 Oct →
dust213–40.0422%8 Oct →
ancient11–13-0.057%8 Oct →
dust213–90.0421%8 Oct →
inferno1–13-0.0714%6 Oct →
mirage2–10-0.0717%6 Oct →
nuke13–9-0.0418%6 Oct →
ancient13–100.038%6 Oct →
dust216–130.0323%5 Oct →
nuke3–13-0.050%5 Oct →
nuke7–13-0.0414%4 Oct →
mirage6–13-0.0511%4 Oct →
dust213–100.018%4 Oct →
nuke13–10-0.0314%4 Oct →
anubis13–70.0519%4 Oct →
mirage11–130.0017%29 Sept →
nuke7–13-0.0215%28 Sept →
nuke13–10.0924%28 Sept →
nuke13–100.0316%28 Sept →
cache9–130.0513%27 Sept →
dust22–13-0.076%27 Sept →
nuke13–5-0.0118%27 Sept →
cache13–40.0218%22 Sept →
dust213–100.0213%22 Sept →
ancient13–20.0913%22 Sept →
ancient4–130.0110%20 Sept →
dust213–7-0.0116%20 Sept →
anubis13–3-0.0714%14 Sept →
inferno3–13-0.084%13 Sept →
nuke13–9-0.0322%13 Sept →
nuke13–60.0718%13 Sept →
mirage6–0-0.018%13 Sept →
inferno5–13-0.099%11 Sept →
inferno7–13-0.0613%11 Sept →
anubis13–9-0.0018%10 Sept →
anubis16–13-0.049%10 Sept →
dust210–130.0415%7 Sept →
dust23–13-0.006%7 Sept →
cache13–110.0811%7 Sept →
dust215–150.0217%7 Sept →
anubis13–50.0111%6 Sept →
cache6–13-0.0513%4 Sept →
anubis13–20.0511%3 Sept →
anubis9–13-0.0119%3 Sept →
ancient10–13-0.065%2 Sept →
dust211–130.007%2 Sept →
dust210–130.0315%2 Sept →
nuke4–13-0.0215%1 Sept →
dust213–16-0.0517%1 Sept →
ancient13–60.0113%30 Aug →
nuke7–13-0.019%30 Aug →
anubis13–90.0113%30 Aug →
dust213–110.079%30 Aug →
dust213–30.0713%30 Aug →
dust213–50.0317%30 Aug →
dust211–13-0.0112%30 Aug →
nuke13–70.0919%30 Aug →
cache13–3-0.048%30 Aug →
nuke16–140.0217%27 Aug →
anubis13–100.0917%27 Aug →
nuke11–13-0.0215%24 Aug →
anubis7–130.015%24 Aug →
anubis10–13-0.039%24 Aug →
mirage13–7-0.019%24 Aug →
inferno5–130.046%23 Aug →
cache8–13-0.0315%23 Aug →
ancient1–13-0.1016%23 Aug →
cache4–13-0.0315%23 Aug →
cache9–130.028%23 Aug →
inferno8–13-0.0216%23 Aug →
mirage15–150.1218%21 Aug →
nuke13–60.047%21 Aug →
cache10–13-0.0411%20 Aug →
ancient2–13-0.0311%17 Aug →
anubis13–90.0218%16 Aug →
inferno13–110.0510%16 Aug →
anubis13–100.0119%16 Aug →
mirage8–130.0519%16 Aug →
cache13–70.0112%16 Aug →
cache13–70.1116%16 Aug →
nuke13–110.1213%16 Aug →
anubis8–130.0411%16 Aug →
ancient13–30.0831%16 Aug →
mirage8–130.0822%16 Aug →
inferno16–120.0119%14 Aug →
nuke13–10-0.0213%14 Aug →
ancient13–11-0.0215%13 Aug →
dust27–13-0.0413%13 Aug →

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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