[Mads]

[Mads] — CS2 Stats

DK76561199006530770[U:1:1046265042]Steam profile ↗✓ No bans

3,943Tracked matches57%Win rate2020Tracked since
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating8,137Light Blue band · top ~63.8% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 8,137 -2,576 22 Sept – 2 Nov · 28 days played
5,95610,822peak 10,82222 Sept2 Nov
11,077Peak Premier in tracked matches
28Days played since 2026-09-22

Premier CS Rating

  • 2,685 below peak (10,822)
  • -604 over 30 days · declining
  • Next: Blue band at 10,000 — 1,863 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-25
  • Light Blue band first seen 2026-09-25

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

Share this profile

CSDB.GG[Mads]FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER8,137 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning61
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLWLWWWWLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.0pp headshot accuracy · −72ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 542ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 555ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 591ms

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 (+2.4 against its own average).

Aim3.4
Utility4.7
Positioning6.1
Opening Duels4.1
Clutch0.0

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

device

Plays most like device 64% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 588ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim3.4
Positioning6.1
Utility4.7
Mechanics1.5
Opening Duels6.6
Win Impact7.2

Composite 4.1/10 (Developing), 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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time589ms−3ms
first ⅓ avg 592ms → last ⅓ avg 589ms
Headshot accuracy13.2%−1.4%
first ⅓ avg 14.6% → last ⅓ avg 13.2%

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

0.10Best match rating · 13–1 · anubis, 29 Sept →
28%Best headshot accuracy · 13–5 · nuke, 16 Oct →
422msFastest reaction time · 13–8 · mirage, 2 Nov →
13–1Biggest win · anubis, 29 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 56% over 9infernoWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
infernoD227–1532%0.01
nukeA2011–955%-0.00
dust2B1910–953%-0.03
mirageC188–1044%-0.01
anubisC94–544%-0.01
ancientA95–456%-0.01
cache—31–233%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

27Matches
33%Win rate
0.82Avg K/D
81.8ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno20%0.7512.5
Nuke20%1.0016.0

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.

13.1%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.7%Spray accuracy
56.6%Counter-strafing
11.4°Preaim
588msReaction time
66.1%T opening success
46.8%CT opening success
0.51Enemies flashed / flash
5.8%Flash assists
8.93HE damage / grenade
6.32Flashes / 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 13.1241% — 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.

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–16-0.0313%2 Nov →
mirage13–8-0.0218%2 Nov →
anubis7–13-0.019%1 Nov →
ancient13–70.1013%1 Nov →
inferno13–90.049%1 Nov →
dust213–10-0.0513%1 Nov →
dust213–9-0.0115%1 Nov →
mirage9–130.0418%31 Oct →
nuke13–100.005%30 Oct →
ancient8–13-0.057%30 Oct →
cache13–11-0.009%30 Oct →
dust25–13-0.046%30 Oct →
dust213–50.0313%30 Oct →
anubis16–120.0512%30 Oct →
mirage11–13-0.0121%29 Oct →
anubis7–13-0.076%29 Oct →
inferno13–100.0217%29 Oct →
inferno4–13-0.0615%27 Oct →
anubis13–11-0.0116%27 Oct →
inferno7–13-0.0515%27 Oct →
dust213–9-0.0221%26 Oct →
inferno13–60.0317%26 Oct →
dust211–13-0.0310%26 Oct →
nuke5–13-0.059%26 Oct →
inferno13–160.0517%23 Oct →
mirage12–16-0.0311%22 Oct →
nuke13–20.0114%22 Oct →
mirage13–9-0.0110%20 Oct →
ancient13–70.0616%20 Oct →
dust216–14-0.0015%20 Oct →
inferno13–20.1016%20 Oct →
dust215–150.0114%20 Oct →
dust211–13-0.0414%19 Oct →
anubis13–6-0.059%19 Oct →
nuke13–80.0221%19 Oct →
dust21–12-0.055%18 Oct →
mirage16–14-0.0312%18 Oct →
mirage11–13-0.0410%18 Oct →
inferno13–40.0314%18 Oct →
nuke11–130.0224%18 Oct →
inferno13–11-0.0212%18 Oct →
inferno11–130.0814%16 Oct →
nuke13–5-0.0028%16 Oct →
mirage11–13-0.0317%14 Oct →
nuke5–13-0.0416%14 Oct →
mirage13–90.094%14 Oct →
nuke10–13-0.0210%13 Oct →
mirage13–30.0214%13 Oct →
inferno10–13-0.0311%13 Oct →
inferno7–13-0.067%12 Oct →
nuke13–9-0.034%12 Oct →
nuke16–130.0122%12 Oct →
inferno11–130.0316%8 Oct →
inferno9–13-0.0313%7 Oct →
mirage6–13-0.0310%7 Oct →
inferno10–30.0120%7 Oct →
inferno9–13-0.0315%6 Oct →
nuke9–130.0014%6 Oct →
dust213–9-0.0215%6 Oct →
nuke8–13-0.039%6 Oct →
nuke13–60.037%6 Oct →
dust26–13-0.0610%6 Oct →
dust213–7-0.0515%6 Oct →
nuke13–40.0112%6 Oct →
cache10–13-0.0710%5 Oct →
mirage7–13-0.018%5 Oct →
dust211–13-0.0810%5 Oct →
ancient5–13-0.036%5 Oct →
inferno3–13-0.0513%1 Oct →
inferno10–130.0216%1 Oct →
mirage8–13-0.048%1 Oct →
ancient5–13-0.0416%29 Sept →
dust213–11-0.0518%29 Sept →
ancient13–3-0.068%29 Sept →
mirage4–3-0.078%29 Sept →
anubis11–13-0.0411%29 Sept →
anubis13–10.1011%29 Sept →
ancient6–13-0.0510%29 Sept →
nuke9–30.1023%29 Sept →
cache7–130.0114%29 Sept →
nuke11–13-0.039%28 Sept →
inferno8–130.0113%27 Sept →
inferno15–150.0321%26 Sept →
ancient13–8-0.0114%26 Sept →
nuke15–15-0.0522%25 Sept →
inferno10–130.0314%25 Sept →
mirage13–5-0.0010%25 Sept →
nuke13–50.0122%25 Sept →
anubis6–13-0.0224%25 Sept →
ancient13–50.0214%25 Sept →
inferno8–13-0.0315%24 Sept →
dust26–13-0.0621%24 Sept →
mirage13–50.039%24 Sept →
nuke13–70.1010%24 Sept →
dust25–13-0.1024%24 Sept →
mirage10–13-0.0714%24 Sept →
nuke10–13-0.0916%22 Sept →
dust213–5-0.0015%22 Sept →
dust213–80.0416%22 Sept →
mirage2–130.0016%22 Sept →

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 →

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