MADS

MADS — CS2 Stats

DK76561197964148676[U:1:3882948]Steam profile ↗✓ No bans

1,537Tracked matches59%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating17,976Purple band · top ~16.6% of ranked players (population est.)
FaceitLevel 6 · 1,414 ELOTop 54.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 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: 17,976 -1,426 31 Oct – 4 Nov · 24 days played
14,61220,000peak 20,00031 Oct4 Nov
20,105Peak Premier in tracked matches
1,414Highest Faceit ELO seen on CSDB
43Days played since 2025-10-31

Faceit ELO

  • At peak — 1,414
  • Next: Level 8 at 1,531 — 117 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 2,024 below peak (20,000)
  • +1,327 over 30 days · improving
  • Next: Pink band at 20,000 — 2,024 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGMADSFACEITLevel 6 · 1,414 ELOSTANDINGTop 54.0% of rankedPREMIER17,976 · Purple bandPEAK ELO1,414csdb.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

Aim49
Positioning50
Utility60

0–100 skill scores via Leetify.

Recent form

HOT46–52–2Last 10046%Win rateWWWWLWLWWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −0.4pp headshot accuracy · +73ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 591ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 655ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 619ms

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 (+1.2 against its own average).

Aim4.9
Utility6.0
Positioning5.0
Opening Duels2.8
Clutch5.4

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

jL

Plays most like jL 73% 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

Reaction time. 589ms 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

Aim4.9
Positioning5.0
Utility6.0
Mechanics4.6
Opening Duels3.8
Win Impact7.9

Composite 5.2/10 (Developing), 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 rating0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg 0.00
Reaction time585ms−22ms
first ⅓ avg 608ms → last ⅓ avg 585ms
Headshot accuracy16.3%+2.0%
first ⅓ avg 14.3% → last ⅓ avg 16.3%

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

0.15Best match rating · 13–9 · inferno, 14 Sept →
31%Best headshot accuracy · 13–11 · ancient, 17 Oct →
406msFastest reaction time · 11–13 · inferno, 16 Sept →
13–1Biggest win · inferno, 24 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
6–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 63% over 24dust2Weakest map · 37% over 30
MapGradePlayedRecordWin rateAvg rating
dust2C3011–1937%-0.01
nukeA2415–963%-0.01
infernoC177–1041%-0.00
ancientA159–660%-0.00
cacheC52–340%-0.01
mirage—42–250%0.00
anubis—20–20%-0.01
overpass—20–20%-0.04
vertigo—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

568Matches
52%Win rate
0.94Avg K/D
70.8ADR
35%Headshot %

Clutches & streaks

47%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno3861%1.1015.6
Nuke3158%0.8713.3
Dust22264%0.8412.7
Ancient2065%1.1114.9
Mirage1242%0.9414.0
Anubis1250%0.8312.3
Vertigo1155%0.8813.7
Overpass850%0.8612.9

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.

16.4%Headshot accuracy
30.7%Accuracy (enemy spotted)
30.5%Spray accuracy
70.7%Counter-strafing
9.9°Preaim
589msReaction time
46.5%T opening success
43.7%CT opening success
0.68Enemies flashed / flash
4.9%Flash assists
8.85HE damage / grenade
10.27Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

37% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–4-0.0221%4 Nov →
cache13–70.0417%28 Oct →
dust213–11-0.0018%24 Oct →
ancient13–60.0419%24 Oct →
dust28–13-0.0617%24 Oct →
dust213–90.0918%24 Oct →
dust25–13-0.0113%24 Oct →
dust213–20.0318%21 Oct →
nuke13–60.015%17 Oct →
dust213–60.0118%17 Oct →
ancient13–11-0.0231%17 Oct →
inferno11–130.0223%15 Oct →
ancient11–13-0.0016%11 Oct →
cache15–15-0.0015%11 Oct →
cache10–13-0.0110%11 Oct →
cache13–7-0.048%8 Oct →
dust210–130.0415%8 Oct →
dust20–13-0.0520%3 Oct →
dust213–100.0716%3 Oct →
nuke13–110.0514%3 Oct →
dust213–60.0116%30 Sept →
nuke13–80.0015%23 Sept →
dust210–130.0010%16 Sept →
ancient13–70.0318%16 Sept →
nuke11–13-0.0211%16 Sept →
inferno11–13-0.0615%16 Sept →
nuke13–40.0624%16 Sept →
mirage13–100.0219%16 Sept →
nuke8–13-0.1216%16 Sept →
inferno10–13-0.0120%15 Sept →
mirage13–3-0.019%15 Sept →
ancient12–16-0.0217%15 Sept →
ancient13–10-0.0218%15 Sept →
dust213–80.0413%15 Sept →
ancient13–16-0.0512%15 Sept →
dust216–14-0.0413%14 Sept →
nuke13–7-0.027%14 Sept →
inferno13–90.1520%14 Sept →
nuke9–13-0.029%14 Sept →
dust23–13-0.108%14 Sept →
inferno13–80.075%14 Sept →
cache9–13-0.0416%10 Sept →
inferno12–160.0511%29 Aug →
ancient13–80.0112%29 Aug →
ancient8–130.0712%20 Jun →
dust214–16-0.0116%20 Jun →
nuke13–80.0828%17 Jun →
ancient13–40.0415%17 Jun →
nuke9–13-0.0611%17 Jun →
nuke13–100.0124%19 May →
dust25–130.0611%19 May →
dust29–130.0110%15 May →
dust213–100.0213%15 May →
anubis11–13-0.0311%12 May →
dust213–8-0.0216%12 May →
inferno7–13-0.0310%12 May →
dust212–16-0.0624%11 May →
nuke8–13-0.0410%9 May →
ancient13–80.0817%9 May →
mirage5–130.0816%27 Apr →
nuke16–14-0.0117%27 Apr →
nuke11–13-0.0216%4 Apr →
inferno13–20.0617%4 Apr →
dust21–13-0.0821%4 Apr →
dust28–130.0419%2 Apr →
ancient6–13-0.029%2 Apr →
inferno4–13-0.0713%27 Mar →
nuke13–50.0413%24 Mar →
inferno13–10.046%24 Mar →
mirage9–13-0.095%13 Mar →
dust213–10-0.0228%13 Mar →
anubis2–130.0127%13 Mar →
inferno8–13-0.0313%12 Mar →
nuke13–10.0619%12 Mar →
nuke13–5-0.0324%12 Mar →
nuke10–13-0.0510%22 Feb →
ancient13–8-0.0213%22 Feb →
nuke5–13-0.019%26 Jan →
overpass10–13-0.0214%31 Dec →
dust25–13-0.0311%31 Dec →
vertigo4–13-0.0718%14 Dec →
inferno4–13-0.1125%14 Dec →
dust24–13-0.090%10 Dec →
overpass15–15-0.0614%10 Dec →
inferno10–13-0.0125%26 Nov →
inferno13–8-0.0313%23 Nov →
dust29–13-0.0413%23 Nov →
inferno3–13-0.0217%23 Nov →
dust23–13-0.0614%23 Nov →
dust28–13-0.096%17 Nov →
nuke13–8-0.0110%17 Nov →
inferno16–12-0.0113%17 Nov →
dust28–13-0.0217%12 Nov →
nuke13–7-0.0324%12 Nov →
nuke10–13-0.048%10 Nov →
inferno13–11-0.0014%10 Nov →
ancient13–5-0.0417%2 Nov →
dust26–13-0.0712%1 Nov →
nuke13–10-0.0610%1 Nov →
ancient8–13-0.0610%31 Oct →

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.