mdox

mdox — CS2 Stats

VE76561199548042558[U:1:1587776830]Steam profile ↗✓ No bans

5,095Tracked matches53%Win rate2023Tracked since
CSDB Rating6.2 SolidSupport
FaceitLevel 10 · 2,192 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,192 → 2,192
+73Tracked matches · now 5,095
−3.3ppWin rate · 56.7% → 53.3%

Rating over time

Faceit ELO: 2,192 +0 30 Aug – 14 Oct · 4 observations
2,1922,192peak 2,19230 Aug14 Oct
2,192Highest Faceit ELO seen on CSDB
57Days played since 2026-07-04

Faceit ELO

  • At peak — 2,192
  • Next: 2,500 ELO at 2,500 — 308 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGmdoxFACEITLevel 10 · 2,192 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,192csdb.gg/stats

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Performance scores

Aim74
Positioning63
Utility67

0–100 skill scores via Leetify.

Recent form

COLD55–45Last 10055%Win rateLLWWLLLLWL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +4.1pp headshot accuracy · −36ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 525ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 549ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 567ms

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 (+1.9 against its own average).

Aim7.4
Utility6.7
Positioning6.3
Opening Duels2.9
Clutch3.4

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

iM

Plays most like iM 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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. 562ms 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

Aim7.4
Positioning6.3
Utility6.7
Mechanics5.8
Opening Duels2.6
Win Impact6.1

Composite 6.2/10 (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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time564ms−80ms
first ⅓ avg 644ms → last ⅓ avg 564ms
Headshot accuracy20.3%−1.1%
first ⅓ avg 21.4% → last ⅓ avg 20.3%

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 · 13–2 · anubis, 30 Sept →
63%Best headshot accuracy · 7–13 · anubis, 9 Oct →
414msFastest reaction time · 10–13 · ancient, 8 Oct →
13–2Biggest win · anubis, 30 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
16Overtime games

Map breakdown

infernoBest map · 73% over 11dust2Weakest map · 43% over 23
MapGradePlayedRecordWin rateAvg rating
ancientA3117–1455%0.01
dust2C2310–1343%-0.01
anubisA1710–759%0.01
mirageA159–660%0.00
infernoS118–373%-0.01
nuke—21–150%0.00
overpass—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,570Matches
54%Win rate
0.97Avg K/D
66.3ADR
48%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient116556%1.0014.1
Inferno91558%1.0413.7
Anubis88855%0.9713.8
Mirage59447%0.9012.8
Dust255248%0.9313.6
Nuke25253%0.9213.5
Overpass8354%0.9313.6
Vertigo8035%0.8713.5

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.

19.3%Headshot accuracy
35.6%Accuracy (enemy spotted)
40.5%Spray accuracy
76.0%Counter-strafing
10.0°Preaim
562msReaction time
34.7%T opening success
45.8%CT opening success
0.56Enemies flashed / flash
9.1%Flash assists
7.52HE damage / grenade
18.55Flashes / 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

    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 34.6786% — 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.

43% win rate across 23 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
dust27–130.0123%1 Nov →
ancient7–130.0231%31 Oct →
inferno13–9-0.0017%30 Oct →
ancient13–60.0315%30 Oct →
mirage9–13-0.0221%23 Oct →
mirage13–16-0.0415%21 Oct →
anubis7–13-0.0463%9 Oct →
ancient10–13-0.0618%8 Oct →
ancient13–100.0417%6 Oct →
nuke10–13-0.0317%6 Oct →
dust214–160.0420%2 Oct →
ancient13–90.0026%1 Oct →
anubis3–130.0322%1 Oct →
dust213–5-0.0714%30 Sept →
mirage16–140.0219%30 Sept →
anubis13–20.1522%30 Sept →
mirage16–130.0926%30 Sept →
inferno11–13-0.0515%29 Sept →
dust211–130.0619%26 Sept →
dust213–10-0.0212%25 Sept →
mirage13–8-0.0310%19 Sept →
mirage13–4-0.0419%19 Sept →
ancient13–6-0.0220%19 Sept →
anubis5–13-0.019%17 Sept →
ancient13–50.0522%16 Sept →
anubis11–13-0.0422%16 Sept →
inferno13–80.0415%14 Sept →
anubis25–22-0.0116%11 Sept →
ancient13–90.0122%10 Sept →
ancient7–13-0.0620%10 Sept →
ancient13–40.1018%9 Sept →
dust222–200.0024%8 Sept →
anubis3–13-0.0922%8 Sept →
dust27–13-0.0140%7 Sept →
ancient10–130.0218%7 Sept →
anubis13–90.0025%6 Sept →
ancient13–9-0.0320%31 Aug →
inferno13–10-0.0133%31 Aug →
inferno13–20.0725%30 Aug →
dust213–70.0413%27 Aug →
dust213–4-0.0126%27 Aug →
ancient13–60.0321%27 Aug →
nuke13–70.0323%25 Aug →
ancient11–130.0829%25 Aug →
anubis2–130.0331%23 Aug →
mirage8–13-0.048%23 Aug →
dust28–130.0111%23 Aug →
anubis13–110.0920%23 Aug →
dust27–13-0.0519%23 Aug →
dust213–16-0.0218%23 Aug →
mirage4–130.0230%22 Aug →
anubis11–13-0.0022%21 Aug →
ancient13–16-0.0422%21 Aug →
dust27–13-0.0923%21 Aug →
mirage13–80.0326%17 Aug →
inferno14–16-0.0413%17 Aug →
dust23–13-0.0427%17 Aug →
ancient4–130.0117%16 Aug →
dust213–10-0.0116%15 Aug →
inferno13–60.0025%15 Aug →
ancient13–30.0524%15 Aug →
anubis13–50.0825%14 Aug →
dust27–13-0.0320%14 Aug →
ancient13–40.0720%13 Aug →
ancient13–8-0.0221%12 Aug →
ancient13–160.0220%9 Aug →
anubis13–70.019%8 Aug →
inferno13–5-0.0132%8 Aug →
ancient13–20.0824%8 Aug →
mirage13–9-0.0215%6 Aug →
ancient10–13-0.0412%5 Aug →
dust210–130.0229%5 Aug →
mirage11–13-0.0022%4 Aug →
dust213–110.0428%4 Aug →
ancient13–40.0928%3 Aug →
inferno8–13-0.0411%3 Aug →
mirage13–80.0719%2 Aug →
dust213–7-0.0318%2 Aug →
ancient19–17-0.0124%31 Jul →
ancient10–13-0.0326%31 Jul →
inferno13–10-0.0112%31 Jul →
ancient10–130.0021%30 Jul →
mirage13–60.037%29 Jul →
ancient13–80.0133%29 Jul →
mirage7–13-0.0326%27 Jul →
inferno22–20-0.0310%25 Jul →
anubis13–40.0415%25 Jul →
dust219–16-0.0023%25 Jul →
anubis13–9-0.0232%23 Jul →
anubis13–4-0.0315%23 Jul →
dust216–19-0.0425%23 Jul →
ancient14–160.0114%22 Jul →
anubis13–3-0.0232%14 Jul →
ancient13–50.0130%13 Jul →
dust219–170.0313%12 Jul →
ancient10–13-0.0524%10 Jul →
ancient1–13-0.0717%10 Jul →
dust28–13-0.0025%6 Jul →
mirage13–11-0.0213%4 Jul →
overpass7–13-0.0331%4 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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