Maddog_DK

Maddog_DK — CS2 Stats

DK76561197968842978[U:1:8577250]Steam profile ↗✓ No bans

304Tracked matches29%Win rate2025Tracked since
421Hours in CS7Hrs last 2 wks
CSDB Rating2.9 LearningClutch Specialist
Premier CS Rating2,391Grey band · top ~89.9% of ranked players (population est.)
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (16 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: 2,391 -722 27 Jun – 18 Oct · 13 days played
1,2453,243peak 3,24327 Jun18 Oct
3,388Peak Premier in tracked matches
798Highest Faceit ELO seen on CSDB
42Days played since 2026-06-27

Faceit ELO

  • At peak — 798
  • Next: Level 4 at 901 — 103 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 852 below peak (3,243)
  • +1,146 over 30 days · improving
  • Next: Light Blue band at 5,000 — 2,609 to go

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate31.5%38.2%39.9%8.4% short
Shot accuracy0.1%3.6%7.0%6.9% short
Kill/death ratio0.640.830.920.27 short
Match win rate28.3%40.2%42.3%13.9% short

This profile sits below the typical Light Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMaddog_DKPREMIER2,391 · Grey bandPEAK ELO798csdb.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

Aim38
Positioning50
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY32–64–4Last 10032%Win rateLWLLWWWWWL

Last 10 vs previous 10: +40pp win rate · −0.03 avg rating · +1.9pp headshot accuracy · +16ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 12%
  • Avg reaction 666ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 645ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 637ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.1 against its own average).

Aim3.8
Utility3.8
Positioning5.0
Opening Duels0.7
Clutch10.0

Limited utility dependenceReliable in 1v1s

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 73% 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

Areas to improve

Reaction time. 632ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim3.8
Positioning5.0
Utility3.8
Mechanics2.3
Opening Duels1.3
Win Impact0.0

Composite 2.9/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time628ms+24ms
first ⅓ avg 604ms → last ⅓ avg 628ms
Headshot accuracy13.0%+1.8%
first ⅓ avg 11.2% → last ⅓ avg 13.0%

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 · 13–1 · mirage, 22 Jul →
30%Best headshot accuracy · 13–3 · inferno, 14 Oct →
375msFastest reaction time · 13–5 · inferno, 26 Aug →
13–1Biggest win · mirage, 22 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 47% over 15dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC238–1535%-0.04
mirageD217–1433%-0.03
nukeB157–847%-0.03
ancientD144–1029%-0.03
anubisD133–1023%-0.04
dust2D71–614%-0.06
cache—41–325%-0.08
vertigo—11–0100%-0.09
debris—10–10%-0.10
overpass—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,128Lifetime kills
0.64K/D
593Matches
28.3%Match win rate
31.5%Headshot %
0.1%Shot accuracy
512MVPs
184Hours (in match)
499Bombs planted
78Bombs defused

Most-used weapons

Lifetime map wins

604inferno
545nuke
368dust2
112train
30vertigo
23ar_shoots
14lake
4ar_baggage

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

Faceit stats

Combat

8Matches
0%Win rate
0.52Avg K/D
50.5ADR
43%Headshot %

Clutches & streaks

100%1v1 clutch win
50%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno30%0.568.3
Mirage20%0.406.5
Ancient10%0.478.0
Anubis10%0.425.0
Nuke10%0.8012.0

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.

13.6%Headshot accuracy
31.9%Accuracy (enemy spotted)
38.3%Spray accuracy
60.2%Counter-strafing
10.7°Preaim
632msReaction time
30.9%T opening success
39.6%CT opening success
0.39Enemies flashed / flash
2.2%Flash assists
8.38HE damage / grenade
3.08Flashes / 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 13.6244% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3853 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.9302% — below the 40% mark we flag

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.

14% win rate across 7 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
ancient3–13-0.0914%30 Oct →
nuke13–5-0.027%30 Oct →
mirage9–13-0.0913%30 Oct →
inferno5–13-0.1112%18 Oct →
ancient13–11-0.0211%18 Oct →
inferno13–11-0.0715%14 Oct →
inferno13–3-0.0630%14 Oct →
mirage13–8-0.0114%14 Oct →
anubis13–110.0311%12 Oct →
ancient3–13-0.0714%2 Oct →
inferno9–130.0113%29 Sept →
nuke10–13-0.0021%29 Sept →
dust27–13-0.080%24 Sept →
ancient12–12-0.0213%23 Sept →
inferno13–10-0.0317%23 Sept →
inferno12–120.0514%20 Sept →
inferno9–3-0.027%20 Sept →
inferno2–9-0.0319%20 Sept →
nuke7–130.029%19 Sept →
nuke8–13-0.0611%19 Sept →
ancient8–13-0.0122%19 Sept →
nuke7–90.0219%19 Sept →
vertigo9–5-0.097%19 Sept →
dust211–130.0419%19 Sept →
ancient13–90.0312%19 Sept →
debris3–9-0.103%19 Sept →
overpass8–8-0.0415%19 Sept →
inferno1–13-0.0810%18 Sept →
anubis8–13-0.066%18 Sept →
ancient8–13-0.0317%18 Sept →
mirage6–13-0.056%11 Sept →
ancient14–16-0.0514%11 Sept →
anubis13–16-0.0316%9 Sept →
ancient8–13-0.0011%9 Sept →
ancient11–130.0119%9 Sept →
anubis10–13-0.0813%26 Aug →
dust23–13-0.0413%26 Aug →
inferno13–5-0.033%26 Aug →
inferno2–13-0.089%23 Aug →
anubis13–7-0.0317%23 Aug →
nuke13–2-0.0126%23 Aug →
inferno4–13-0.0311%23 Aug →
mirage13–7-0.047%22 Aug →
inferno4–13-0.0611%20 Aug →
mirage9–13-0.004%18 Aug →
anubis8–13-0.0314%17 Aug →
inferno10–13-0.0415%16 Aug →
ancient13–11-0.0814%16 Aug →
inferno9–20.029%16 Aug →
inferno8–13-0.0414%14 Aug →
anubis6–130.009%13 Aug →
inferno10–13-0.0513%12 Aug →
inferno9–13-0.0014%9 Aug →
inferno7–13-0.038%9 Aug →
nuke16–12-0.079%7 Aug →
mirage7–13-0.064%7 Aug →
anubis4–130.0023%7 Aug →
mirage8–130.009%7 Aug →
dust23–13-0.0918%5 Aug →
inferno13–10-0.069%5 Aug →
anubis9–13-0.0719%30 Jul →
mirage5–13-0.0322%30 Jul →
mirage16–13-0.027%26 Jul →
anubis13–7-0.0310%26 Jul →
mirage14–16-0.0812%26 Jul →
inferno4–13-0.0016%25 Jul →
nuke12–16-0.029%25 Jul →
mirage13–16-0.0510%24 Jul →
nuke12–16-0.0513%24 Jul →
dust211–13-0.0911%24 Jul →
nuke13–50.0220%24 Jul →
mirage13–9-0.0613%24 Jul →
mirage11–130.0413%22 Jul →
nuke13–3-0.0421%22 Jul →
mirage13–10.128%22 Jul →
ancient5–13-0.053%19 Jul →
cache10–13-0.0613%19 Jul →
anubis7–13-0.069%19 Jul →
mirage3–13-0.0913%19 Jul →
mirage6–13-0.0414%17 Jul →
mirage13–16-0.0416%17 Jul →
cache1–13-0.1018%15 Jul →
ancient0–13-0.1215%15 Jul →
dust27–13-0.077%14 Jul →
cache12–12-0.097%12 Jul →
nuke13–4-0.0310%12 Jul →
inferno8–13-0.0615%12 Jul →
nuke4–13-0.0612%10 Jul →
nuke13–10-0.0210%8 Jul →
mirage11–13-0.066%8 Jul →
anubis7–13-0.063%8 Jul →
anubis5–13-0.0910%5 Jul →
nuke11–13-0.079%5 Jul →
mirage8–13-0.0310%30 Jun →
ancient16–130.0013%30 Jun →
mirage13–10-0.025%30 Jun →
cache13–4-0.0714%28 Jun →
inferno13–8-0.0112%28 Jun →
dust213–5-0.076%28 Jun →
mirage13–9-0.0413%27 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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