mxtjw

mxtjw — CS2 Stats

76561199165993195[U:1:1205727467]Steam profile ↗✓ No bans

448Tracked matches46%Win rate2022Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating17,335Purple band · top ~19.1% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (3 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: 17,335 +3,830 7 Jun – 12 Nov · 54 days played
13,05821,128peak 21,1287 Jun12 Nov
21,200Peak Premier in tracked matches
63Days played since 2026-06-07

Premier CS Rating

  • 3,793 below peak (21,128)
  • -1,206 over 30 days · declining
  • +840 over 90 days
  • Next: Pink band at 20,000 — 2,665 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

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

Share this profile

CSDB.GGmxtjwFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,335 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning56
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateLWWLLWWLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +5.6pp headshot accuracy · +75ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 639ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 663ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 626ms

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 against its own average).

Aim6.2
Utility3.1
Positioning5.6
Opening Duels2.5
Clutch3.2

Limited utility dependence

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

donk

Plays most like donk 84% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 634ms 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

Aim6.2
Positioning5.6
Utility3.1
Mechanics6.4
Opening Duels4.3
Win Impact3.8

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 rating-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time622ms−40ms
first ⅓ avg 663ms → last ⅓ avg 622ms
Headshot accuracy20.7%+2.0%
first ⅓ avg 18.6% → last ⅓ avg 20.7%

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

0.22Best match rating · 9–7 · nuke, 13 Sept →
38%Best headshot accuracy · 3–13 · nuke, 7 Nov →
438msFastest reaction time · 15–15 · ancient, 22 Aug →
13–0Biggest win · ancient, 5 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
12–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 67% over 12anubisWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA2212–1055%-0.01
mirageB168–850%-0.01
dust2C156–940%-0.03
anubisC135–838%-0.00
ancientC135–838%-0.01
cacheS128–467%-0.00
nukeC94–544%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

137Matches
50%Win rate
0.86Avg K/D
69.2ADR
51%Headshot %

Clutches & streaks

36%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2157%0.7413.8
Inferno2157%0.8214.2
Anubis1947%0.8714.3
Dust21650%0.8112.3
Nuke1070%1.4517.0
Cache520%0.7114.8
Ancient333%0.8613.7
Vertigo20%0.7412.5

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.

21.0%Headshot accuracy
32.5%Accuracy (enemy spotted)
37.1%Spray accuracy
78.7%Counter-strafing
11.0°Preaim
634msReaction time
51.0%T opening success
43.6%CT opening success
0.56Enemies flashed / flash
4.4%Flash assists
6.30HE damage / grenade
3.00Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0016 — below the 4 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0428%12 Nov →
nuke13–11-0.0124%11 Nov →
anubis13–40.1128%11 Nov →
inferno11–13-0.0322%8 Nov →
nuke3–13-0.0838%7 Nov →
cache13–11-0.0216%3 Nov →
cache13–90.0728%2 Nov →
dust210–13-0.0717%1 Nov →
nuke13–11-0.0519%1 Nov →
mirage7–13-0.0232%1 Nov →
ancient3–13-0.0431%29 Oct →
dust29–13-0.0533%28 Oct →
inferno7–13-0.0416%28 Oct →
dust213–5-0.0114%28 Oct →
nuke4–13-0.0126%28 Oct →
mirage13–4-0.0517%25 Oct →
nuke3–13-0.0514%25 Oct →
ancient13–8-0.037%25 Oct →
mirage9–13-0.0220%24 Oct →
inferno9–5-0.0015%22 Oct →
dust20–13-0.0813%21 Oct →
anubis13–7-0.0022%21 Oct →
cache10–13-0.0120%17 Oct →
mirage15–15-0.0413%15 Oct →
inferno13–10-0.0020%15 Oct →
dust213–10-0.0917%14 Oct →
dust28–13-0.0528%13 Oct →
nuke13–11-0.0620%12 Oct →
dust213–90.0418%11 Oct →
mirage14–160.0220%11 Oct →
anubis15–15-0.0220%11 Oct →
inferno8–80.0721%11 Oct →
anubis6–13-0.106%5 Oct →
ancient13–00.1924%5 Oct →
mirage16–14-0.0319%4 Oct →
inferno2–13-0.0415%26 Sept →
cache8–130.0018%13 Sept →
nuke9–70.2228%13 Sept →
inferno8–8-0.0230%12 Sept →
anubis11–13-0.0332%8 Sept →
inferno13–4-0.0324%2 Sept →
mirage13–11-0.0215%1 Sept →
dust211–13-0.0133%31 Aug →
inferno13–100.0022%30 Aug →
dust29–13-0.0535%27 Aug →
ancient10–13-0.0323%26 Aug →
dust29–13-0.0124%26 Aug →
dust216–140.0221%24 Aug →
ancient7–13-0.0321%23 Aug →
inferno13–70.0028%23 Aug →
anubis9–13-0.0420%22 Aug →
nuke15–150.0226%22 Aug →
ancient15–150.0218%22 Aug →
inferno13–80.0429%21 Aug →
anubis11–13-0.0424%18 Aug →
cache13–9-0.0619%18 Aug →
mirage11–13-0.0138%18 Aug →
anubis16–130.0220%15 Aug →
ancient4–13-0.0220%14 Aug →
inferno7–13-0.069%11 Aug →
anubis13–8-0.0220%11 Aug →
inferno13–80.005%8 Aug →
dust27–13-0.0227%5 Aug →
inferno8–80.0825%4 Aug →
mirage13–16-0.0422%4 Aug →
cache16–130.0119%2 Aug →
inferno13–40.0122%2 Aug →
ancient16–130.0222%30 Jul →
inferno8–13-0.0411%26 Jul →
anubis8–130.0319%22 Jul →
anubis9–130.0118%20 Jul →
cache13–11-0.0629%19 Jul →
inferno12–0-0.0212%19 Jul →
inferno9–6-0.1721%15 Jul →
cache5–130.0021%15 Jul →
mirage6–13-0.0214%13 Jul →
dust213–6-0.0622%12 Jul →
mirage11–13-0.0423%12 Jul →
ancient13–7-0.0313%12 Jul →
cache13–10-0.0224%12 Jul →
cache13–90.0521%12 Jul →
mirage13–110.0313%11 Jul →
cache6–13-0.0521%10 Jul →
ancient7–13-0.0816%9 Jul →
cache13–90.0420%9 Jul →
inferno8–13-0.0422%9 Jul →
mirage13–40.0536%8 Jul →
dust25–13-0.0429%26 Jun →
mirage13–7-0.0219%25 Jun →
anubis13–90.0621%18 Jun →
dust219–17-0.0419%16 Jun →
ancient8–13-0.0314%14 Jun →
mirage13–40.0421%10 Jun →
ancient3–13-0.067%10 Jun →
ancient13–11-0.0019%8 Jun →
mirage13–10-0.0022%8 Jun →
inferno13–10-0.016%7 Jun →
inferno9–30.1214%7 Jun →
inferno4–9-0.0917%7 Jun →
anubis8–13-0.0313%7 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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