Mads™

Mads™ — CS2 Stats

NO76561198314393100[U:1:354127372]Steam profile ↗✓ No bans

542Tracked matches47%Win rate2024Tracked since
CSDB Rating3.7 LearningAll-Rounder
Premier CS Rating13,280Blue band · top ~37.5% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (45 days ago). 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: 13,280 -3,486 27 Jun – 13 Sept · 26 days played
12,80816,766peak 16,76627 Jun13 Sept
16,998Peak Premier in tracked matches
38Days played since 2026-06-27

Premier CS Rating

  • 3,486 below peak (16,766)
  • +25 over 30 days · steady
  • -3,486 over 90 days
  • Next: Purple band at 15,000 — 1,720 to go
  • Reached: 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.GGMads™PREMIER13,280 · Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning49
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLLWWLWLWWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −0.5pp headshot accuracy · −2ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 547ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 546ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 547ms

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.

Aim3.3
Utility4.6
Positioning4.9
Opening Duels2.8
Clutch4.6

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 67% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 50% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.3
Positioning4.9
Utility4.6
Mechanics3.8
Opening Duels2.5
Win Impact3.9

Composite 3.7/10 (Learning), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time575ms−65ms
first ⅓ avg 640ms → last ⅓ avg 575ms
Headshot accuracy9.9%−2.8%
first ⅓ avg 12.8% → last ⅓ avg 9.9%

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

0.21Best match rating · 13–11 · cache, 1 Aug →
28%Best headshot accuracy · 13–9 · cache, 31 Jul →
438msFastest reaction time · 13–10 · cache, 18 Aug →
13–2Biggest win · inferno, 13 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 59% over 17anubisWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
cacheB209–1145%-0.02
infernoB2010–1050%-0.02
nukeA1710–759%-0.01
ancientB158–753%-0.02
anubisD143–1121%0.00
mirageC83–538%-0.03
dust2—30–30%0.02
train—21–150%0.01
overpass—10–10%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches
50%Win rate
1.10Avg K/D
72.5ADR
40%Headshot %

Clutches & streaks

43%1v1 clutch win
17%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage425%0.9414.8
Nuke333%1.0912.7
Ancient2100%1.5418.0
Train1100%0.898.0

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.

9.7%Headshot accuracy
29.6%Accuracy (enemy spotted)
34.6%Spray accuracy
67.3%Counter-strafing
12.4°Preaim
562msReaction time
27.8%T opening success
50.2%CT opening success
0.45Enemies flashed / flash
2.4%Flash assists
10.74HE damage / grenade
6.99Flashes / 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 12.4388° — above the 12° mark we flag

    Aim Training →
  2. 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 9.7009% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4525 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.048%13 Sept →
nuke2–12-0.028%13 Sept →
nuke13–40.0119%13 Sept →
ancient13–70.024%12 Sept →
inferno10–13-0.096%29 Aug →
ancient13–5-0.045%29 Aug →
cache10–13-0.106%27 Aug →
mirage13–8-0.0417%20 Aug →
ancient13–70.043%20 Aug →
ancient5–13-0.0413%19 Aug →
inferno13–6-0.0210%19 Aug →
cache13–10-0.0818%18 Aug →
inferno8–130.009%16 Aug →
cache2–13-0.0111%14 Aug →
anubis13–100.0910%14 Aug →
ancient16–14-0.044%13 Aug →
cache5–13-0.038%13 Aug →
nuke13–80.024%12 Aug →
mirage14–16-0.027%11 Aug →
dust28–130.0310%11 Aug →
nuke13–8-0.0312%11 Aug →
inferno10–130.0113%11 Aug →
cache10–130.018%10 Aug →
inferno13–40.0114%10 Aug →
inferno7–13-0.0515%10 Aug →
mirage16–14-0.046%10 Aug →
anubis9–13-0.0318%8 Aug →
ancient10–13-0.049%8 Aug →
ancient10–130.0110%8 Aug →
nuke13–5-0.0516%8 Aug →
overpass5–13-0.0312%8 Aug →
nuke10–13-0.126%7 Aug →
dust214–160.0410%7 Aug →
cache7–13-0.069%2 Aug →
cache13–110.2115%1 Aug →
anubis5–13-0.1016%1 Aug →
cache13–60.015%1 Aug →
ancient13–80.0224%1 Aug →
inferno9–30.0610%1 Aug →
nuke9–20.1016%1 Aug →
mirage2–13-0.085%1 Aug →
ancient13–90.019%1 Aug →
anubis13–5-0.0220%1 Aug →
mirage4–13-0.0116%1 Aug →
mirage13–100.0414%31 Jul →
nuke9–130.0118%31 Jul →
inferno5–130.037%31 Jul →
dust25–13-0.0011%31 Jul →
cache13–9-0.0128%31 Jul →
nuke13–70.0820%31 Jul →
cache13–3-0.0017%30 Jul →
anubis3–13-0.0510%30 Jul →
cache1–13-0.0816%28 Jul →
inferno13–50.0313%28 Jul →
ancient13–80.0112%27 Jul →
inferno11–13-0.0910%26 Jul →
inferno13–60.009%26 Jul →
cache7–13-0.0311%26 Jul →
anubis15–150.0912%26 Jul →
nuke11–130.0914%26 Jul →
mirage10–13-0.068%26 Jul →
nuke13–10-0.0111%26 Jul →
ancient5–13-0.0911%26 Jul →
cache13–70.016%26 Jul →
inferno13–70.0510%25 Jul →
ancient11–13-0.039%25 Jul →
nuke13–100.0812%25 Jul →
cache13–40.0411%25 Jul →
mirage3–13-0.0510%25 Jul →
anubis9–130.016%24 Jul →
ancient10–13-0.0510%24 Jul →
anubis13–40.0711%24 Jul →
nuke10–13-0.0413%24 Jul →
nuke13–9-0.0113%23 Jul →
inferno4–13-0.0817%22 Jul →
ancient15–15-0.1017%22 Jul →
anubis8–13-0.0210%22 Jul →
anubis6–13-0.0411%20 Jul →
cache15–150.0213%20 Jul →
ancient13–100.0211%19 Jul →
cache13–7-0.0517%19 Jul →
cache5–13-0.0712%19 Jul →
inferno13–7-0.0320%19 Jul →
inferno16–14-0.0216%18 Jul →
cache2–13-0.0617%18 Jul →
anubis10–13-0.029%16 Jul →
train13–50.0013%16 Jul →
inferno13–2-0.0011%13 Jul →
cache13–6-0.0413%11 Jul →
train9–130.0118%11 Jul →
nuke1–9-0.088%5 Jul →
anubis10–130.0914%5 Jul →
anubis12–12-0.028%4 Jul →
anubis0–13-0.044%2 Jul →
inferno9–13-0.0712%29 Jun →
nuke13–4-0.0218%29 Jun →
inferno2–13-0.1026%28 Jun →
nuke4–8-0.115%27 Jun →
inferno13–16-0.0514%27 Jun →
inferno13–11-0.0412%27 Jun →

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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