smx_g

smx_g — CS2 Stats

DE76561199104234526[U:1:1143968798]Steam profile ↗✓ No bans

854Tracked matches45%Win rate2021Tracked since
1,386Hours in CS12Hrs last 2 wks
CSDB Rating4.4 DevelopingSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

+34Tracked matches · now 854
−3.5ppWin rate · 48.3% → 44.8%

Rating over time

55Days played since 2025-05-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches43——
Win rate47%——
K/D0.95——
Headshot %43%——

Measured 6 Sep 2026 → 6 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,773), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate40.0%46.8%48.2%8.2% short
Shot accuracy15.6%13.0%13.3%above
Kill/death ratio1.011.061.070.06 short
Match win rate43.3%46.3%46.9%3.7% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsmx_gFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim53
Positioning42
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateLLWWLWWLLL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +1.2pp headshot accuracy · −70ms 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 -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 567ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 545ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 579ms

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 (+2 against its own average).

Aim5.3
Utility5.3
Positioning4.2
Opening Duels0.5
Clutch3.2

Effective flashesLimited 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

Twistzz

Plays most like Twistzz 78% 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

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 615ms 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

Aim5.3
Positioning4.2
Utility5.3
Mechanics5.4
Opening Duels0.6
Win Impact3.3

Composite 4.4/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time613ms+2ms
first ⅓ avg 611ms → last ⅓ avg 613ms
Headshot accuracy13.6%−2.2%
first ⅓ avg 15.8% → last ⅓ avg 13.6%

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

0.39Best match rating · 9–1 · nuke, 13 Jun →
32%Best headshot accuracy · 9–7 · inferno, 28 May →
422msFastest reaction time · 13–11 · inferno, 6 Aug →
13–0Biggest win · nuke, 16 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
9–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 71% over 7mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB199–1047%-0.01
dust2D155–1033%-0.00
anubisA116–555%-0.00
officeC114–736%0.01
overpassC104–640%-0.01
mirageD82–625%-0.04
nukeA85–363%0.07
cacheS75–271%-0.01
vertigoC52–340%0.01
train—20–20%-0.04
shelter—10–10%0.01
poseidon—10–10%-0.09
brewery—10–10%-0.07
dogtown—11–0100%0.23

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,899Lifetime kills
1.01K/D
2,226Matches
43.3%Match win rate
40.0%Headshot %
15.6%Shot accuracy · Top 50% of Level 8 players
6,284MVPs
690Hours (in match)
2,131Bombs planted
565Bombs defused

Most-used weapons

AK-4710,262
AWP4,299
FAMAS1,134
Knife649
MP7574

Lifetime map wins

2,504inferno
1,619dust2
1,381vertigo
628nuke
478cbble
433train
208office
86lake

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

Faceit stats

Combat

502Matches
51%Win rate
1.02Avg K/D
72.0ADR
37%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust26952%0.9713.4
Anubis6748%0.9614.1
Inferno5358%1.0414.6
Mirage3549%0.8613.7
Cache2861%0.9814.7
Nuke1753%0.9213.3
Ancient1547%0.9314.5
Overpass1060%1.1315.9

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.

14.1%Headshot accuracy
34.1%Accuracy (enemy spotted)
33.7%Spray accuracy
74.5%Counter-strafing
10.2°Preaim
615msReaction time
24.2%T opening success
34.7%CT opening success
0.85Enemies flashed / flash
9.6%Flash assists
8.62HE damage / grenade
2.36Flashes / 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 14.1142% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 2.3632 — below the 4 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 24.1846% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0319%27 Sept →
dust25–13-0.0421%26 Sept →
cache13–30.0214%2 Sept →
dust219–160.0118%27 Aug →
anubis1–13-0.128%24 Aug →
anubis13–110.0414%16 Aug →
inferno10–3-0.029%15 Aug →
anubis10–13-0.039%15 Aug →
inferno10–13-0.0012%15 Aug →
vertigo11–13-0.0315%14 Aug →
vertigo8–130.1015%9 Aug →
anubis13–80.0514%9 Aug →
anubis13–60.0411%7 Aug →
anubis9–13-0.0217%7 Aug →
anubis7–13-0.016%6 Aug →
inferno13–110.0011%6 Aug →
inferno9–50.027%30 Jul →
nuke5–90.1012%30 Jul →
cache13–7-0.0211%25 Jul →
dust21–13-0.0924%24 Jul →
cache13–9-0.0415%23 Jul →
mirage8–13-0.0917%23 Jul →
cache13–3-0.0017%22 Jul →
mirage6–13-0.0910%22 Jul →
dust28–13-0.0111%21 Jul →
train10–13-0.0426%19 Jul →
nuke13–11-0.0110%19 Jul →
vertigo11–5-0.009%19 Jul →
shelter12–120.0114%18 Jul →
cache7–130.0317%18 Jul →
inferno8–8-0.0810%18 Jul →
inferno9–30.1019%13 Jul →
dust213–20.089%6 Jul →
dust23–130.0318%6 Jul →
mirage13–100.0213%17 Jun →
nuke9–10.3925%13 Jun →
inferno3–9-0.149%13 Jun →
mirage8–130.0219%13 Jun →
nuke3–13-0.0910%13 Jun →
dust24–13-0.0621%13 Jun →
dust213–5-0.0411%5 Jun →
inferno9–7-0.0232%28 May →
poseidon3–9-0.0915%28 May →
mirage3–13-0.0615%28 May →
nuke6–90.0417%25 May →
inferno2–9-0.130%25 May →
inferno2–9-0.0313%25 May →
dust210–130.0014%24 May →
overpass7–13-0.0611%21 May →
anubis11–13-0.097%12 May →
cache13–8-0.0226%3 May →
cache7–13-0.0119%3 May →
dust213–10.0515%28 Apr →
inferno7–13-0.0326%28 Apr →
dust211–13-0.0017%28 Apr →
inferno8–13-0.0413%28 Apr →
overpass2–13-0.0413%28 Apr →
office6–130.049%10 Feb →
overpass13–80.0714%9 Feb →
office13–11-0.0013%8 Feb →
anubis16–140.0114%7 Feb →
dust24–13-0.0326%7 Feb →
office13–100.0814%7 Feb →
office12–120.0417%1 Feb →
anubis13–110.0213%31 Jan →
mirage15–15-0.007%27 Jan →
mirage13–9-0.0818%23 Jan →
inferno9–50.0619%23 Jan →
inferno9–7-0.056%23 Jan →
overpass1–13-0.0718%11 Jan →
office11–13-0.0019%11 Jan →
nuke13–100.0312%9 Jan →
overpass13–6-0.0212%20 Dec →
dust213–70.0915%20 Dec →
overpass13–3-0.0213%20 Dec →
overpass13–100.098%20 Dec →
inferno9–40.139%20 Dec →
vertigo3–9-0.0213%20 Dec →
inferno13–16-0.0510%15 Dec →
office13–7-0.0419%7 Oct →
office13–60.0115%7 Oct →
office10–130.0229%14 Sept →
overpass6–90.0823%14 Sept →
office12–120.0325%12 Sept →
office12–12-0.0324%7 Sept →
office1–13-0.0720%7 Sept →
anubis13–100.0420%26 Aug →
dust27–13-0.0318%22 Aug →
inferno10–13-0.0319%22 Aug →
overpass12–120.026%16 Aug →
nuke13–00.0714%16 Aug →
inferno13–60.0122%1 Aug →
brewery3–9-0.0719%28 Jul →
overpass1–13-0.1118%2 Jun →
train8–13-0.0512%30 May →
dogtown9–60.2324%30 May →
vertigo9–70.0010%29 May →
inferno4–130.0715%29 May →
nuke13–100.0214%29 May →
dust21–5-0.010%29 May →

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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