PlayMTL

PlayMTL — CS2 Stats

MG76561198082269551[U:1:122003823]Steam profile ↗✓ No bans

885Tracked matches43%Win rate2020Tracked since
3,139Hours in CS0Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating20,713Top 50% of 212,379 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#73326 of 259329 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (15 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: 20,713 +2,264 11 Feb – 17 Oct · 34 days played
18,44922,698peak 22,69811 Feb17 Oct
22,698Peak Premier in tracked matches
43Days played since 2026-02-11

Premier CS Rating

  • 1,985 below peak (22,698)
  • -1,370 over 90 days
  • Next: Red band at 25,000 — 4,287 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate36.5%44.8%45.7%9.2% short
Shot accuracy16.4%12.4%12.7%above
Kill/death ratio1.211.031.05above
Match win rate37.4%45.2%45.7%8.3% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPlayMTLFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER20,713 · Pink bandcsdb.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

Aim75
Positioning54
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateWLWLLLLWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +1.6pp headshot accuracy · −30ms 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 17%
  • Avg reaction 478ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 505ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 520ms

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 (+2.6 against its own average).

Aim7.5
Utility3.6
Positioning5.4
Opening Duels2.3
Clutch0.0

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

sh1ro

Plays most like sh1ro 92% 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.

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

Aim7.5
Positioning5.4
Utility3.6
Mechanics5.7
Opening Duels2.6
Win Impact2.8

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time524ms−86ms
first ⅓ avg 609ms → last ⅓ avg 524ms
Headshot accuracy15.0%−0.9%
first ⅓ avg 15.9% → last ⅓ avg 15.0%

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

0.17Best match rating · 13–7 · cache, 30 Apr →
32%Best headshot accuracy · 0–7 · dust2, 11 Feb →
375msFastest reaction time · 2–11 · inferno, 14 Aug →
13–2Biggest win · vertigo, 14 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–3In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 67% over 12mirageWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%0.01
ancientS1711–665%-0.00
mirageC176–1135%0.02
infernoS128–467%0.02
nukeA127–558%0.05
anubisA106–460%-0.01
cacheC73–443%-0.01
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

155,899Lifetime kills
1.21K/D · Top 25% of Level 6 players
5,749Matches
37.4%Match win rate
36.5%Headshot %
16.4%Shot accuracy · Top 25% of Level 6 players
11,924MVPs
2,058Hours (in match)
4,788Bombs planted
1,367Bombs defused

Most-used weapons

AK-4749,506
AWP33,104
P905,322
P2502,560
MP72,169

Lifetime map wins

23,521nuke
7,366dust2
2,064inferno
627vertigo
359train
307lake
304cbble
155bank

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

Faceit stats

Combat

32Matches
69%Win rate
1.58Avg K/D
98.3ADR
34%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage967%1.6420.0
Nuke475%2.0422.3
Dust2450%1.2822.5
Inferno475%1.5117.3
Ancient3100%1.5922.7
Vertigo2100%2.0020.5
Anubis250%1.1719.0

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.

14.9%Headshot accuracy
37.5%Accuracy (enemy spotted)
37.5%Spray accuracy
75.9%Counter-strafing
8.8°Preaim
526msReaction time
34.2%T opening success
46.5%CT opening success
0.50Enemies flashed / flash
2.0%Flash assists
7.61HE damage / grenade
3.02Flashes / 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 14.9121% — 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 0.4968 — 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 34.1846% — 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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–70.0320%17 Oct →
dust29–13-0.0310%17 Oct →
nuke10–30.0917%17 Oct →
dust22–130.0520%17 Oct →
anubis6–110.0116%17 Oct →
ancient6–13-0.040%13 Oct →
dust23–13-0.0719%12 Oct →
nuke16–120.0413%11 Oct →
inferno9–130.0619%11 Oct →
inferno13–40.0423%4 Oct →
anubis13–90.0811%25 Sept →
cache6–13-0.0123%14 Sept →
cache9–13-0.0419%30 Aug →
ancient7–130.0113%30 Aug →
anubis13–90.013%30 Aug →
nuke6–130.0415%28 Aug →
mirage5–130.0111%28 Aug →
inferno16–130.0621%16 Aug →
anubis13–9-0.0718%16 Aug →
ancient13–5-0.039%16 Aug →
inferno7–130.019%16 Aug →
nuke5–130.0411%16 Aug →
vertigo13–20.0515%14 Aug →
cache13–11-0.0017%14 Aug →
inferno2–11-0.0211%14 Aug →
ancient13–16-0.0217%14 Aug →
mirage13–16-0.0510%14 Aug →
ancient4–13-0.0818%14 Aug →
dust213–30.0113%14 Aug →
dust213–7-0.0830%14 Aug →
cache10–13-0.0414%5 Aug →
nuke13–11-0.0115%5 Aug →
ancient13–100.0318%12 Jul →
inferno15–150.058%12 Jul →
cache13–8-0.0318%12 Jul →
inferno13–7-0.0514%11 Jul →
cache8–13-0.094%11 Jul →
ancient13–7-0.0316%5 Jul →
inferno13–7-0.016%5 Jul →
dust213–9-0.0512%30 Jun →
dust213–60.0411%28 Jun →
anubis13–8-0.0313%16 Jun →
dust21–70.0916%16 Jun →
dust213–50.0117%16 Jun →
mirage13–70.0113%7 Jun →
mirage8–130.0115%29 May →
mirage9–130.047%29 May →
ancient3–13-0.0123%25 May →
dust23–130.0018%25 May →
nuke13–50.0815%23 May →
nuke13–80.0712%9 May →
anubis11–13-0.0315%8 May →
dust26–13-0.0312%8 May →
dust213–50.0720%5 May →
dust213–11-0.0413%5 May →
ancient13–110.0218%5 May →
ancient13–100.0314%5 May →
mirage13–100.0310%5 May →
cache13–70.1710%30 Apr →
dust216–130.0515%27 Apr →
mirage5–130.045%27 Apr →
mirage11–50.0613%26 Apr →
mirage8–130.0514%26 Apr →
nuke13–160.0511%26 Apr →
mirage16–13-0.037%26 Apr →
mirage8–130.0419%26 Apr →
mirage10–13-0.054%19 Apr →
nuke13–90.0611%18 Apr →
mirage13–100.0817%18 Apr →
dust22–130.0326%18 Apr →
ancient13–3-0.0015%18 Apr →
dust213–60.078%17 Apr →
nuke13–60.0724%17 Apr →
mirage16–140.0221%17 Apr →
anubis13–80.0512%12 Apr →
ancient13–90.0415%11 Apr →
mirage9–130.0414%11 Apr →
dust215–150.0014%2 Apr →
anubis5–13-0.0313%25 Mar →
inferno13–70.0515%22 Mar →
ancient10–13-0.0121%22 Mar →
nuke9–130.0526%15 Mar →
ancient13–9-0.0013%7 Mar →
dust28–13-0.0225%3 Mar →
anubis9–13-0.0712%22 Feb →
ancient13–11-0.0315%22 Feb →
nuke11–130.0618%22 Feb →
anubis13–11-0.0610%15 Feb →
ancient13–11-0.0211%15 Feb →
mirage8–13-0.039%15 Feb →
dust216–120.0113%15 Feb →
inferno13–40.0016%15 Feb →
ancient13–110.076%13 Feb →
dust213–50.1016%13 Feb →
mirage11–13-0.016%13 Feb →
dust213–5-0.0212%13 Feb →
dust213–80.0014%11 Feb →
inferno16–140.0125%11 Feb →
dust213–20.0619%11 Feb →
dust20–7-0.0232%11 Feb →

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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