The Real Mwat

The Real Mwat — CS2 Stats

GB76561197979045111[U:1:18779383]Steam profile ↗✓ No bans

1,923Tracked matches53%Win rate2020Tracked since
3,655Hours in CS40Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating14,878Blue band · top ~29% of ranked players (population est.)
FaceitLevel 7 · 1,219 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGThe Real MwatFACEITLevel 7 · 1,219 ELOSTANDINGTop 42.3% of rankedPREMIER14,878 · Blue bandcsdb.gg/stats

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Performance scores

Aim88
Positioning67
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLWWLLLWWWL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · +1.6pp headshot accuracy · +2ms reaction

Win rate down 20pp 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 23%
  • Avg reaction 531ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 530ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 529ms

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 (+2.2 against its own average).

Aim8.8
Utility3.4
Positioning6.7
Opening Duels4.9
Clutch3.0

Sharp aimerLimited 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 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

T openings. 76% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 76% on T to 56% on CT — first contacts on the defending side are being lost.

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

Aim8.8
Positioning6.7
Utility3.4
Mechanics7.5
Opening Duels8.3
Win Impact6.1

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time537ms+15ms
first ⅓ avg 522ms → last ⅓ avg 537ms
Headshot accuracy21.3%+2.8%
first ⅓ avg 18.5% → last ⅓ avg 21.3%

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

0.18Best match rating · 13–7 · dust2, 11 Nov →
53%Best headshot accuracy · 5–13 · inferno, 29 Oct →
375msFastest reaction time · 7–13 · inferno, 1 Nov →
13–1Biggest win · ancient, 12 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 63% over 8cacheWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C219–1243%0.02
infernoB179–853%-0.01
mirageC167–944%0.00
nukeB158–753%-0.01
ancientA127–558%0.02
cacheC114–736%0.01
anubisA85–363%0.03

Across the last 100 tracked matches.

Lifetime stats

84,192Lifetime kills
0.95K/D
4,474Matches
44.5%Match win rate
43.1%Headshot %
13.9%Shot accuracy
9,936MVPs
2,115Hours (in match)
2,176Bombs planted
1,007Bombs defused

Most-used weapons

AWP18,630
AK-4717,971
SSG 084,013
MAC-102,101
MP92,093

Lifetime map wins

12,185dust2
5,749inferno
2,711nuke
1,573train
1,439vertigo
285cbble
163office
84lake

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

Faceit stats

Combat

784Matches
50%Win rate
1.01Avg K/D
81.7ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust29848%1.1116.6
Ancient6543%1.0515.5
Mirage6149%1.0114.7
Anubis4551%1.0516.8
Overpass3768%1.2117.3
Inferno1856%0.9215.2
Nuke743%0.8611.9
Vertigo650%0.8812.5

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.

21.3%Headshot accuracy
37.3%Accuracy (enemy spotted)
38.9%Spray accuracy
83.9%Counter-strafing
7.5°Preaim
525msReaction time
76.2%T opening success
56.3%CT opening success
0.47Enemies flashed / flash
2.2%Flash assists
10.23HE damage / grenade
2.00Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4659 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust28–130.0222%14 Nov →
nuke9–60.0332%14 Nov →
inferno9–30.0327%14 Nov →
mirage10–13-0.1019%14 Nov →
mirage11–13-0.0217%14 Nov →
cache7–13-0.0332%12 Nov →
inferno13–30.0413%12 Nov →
dust213–11-0.0213%12 Nov →
inferno13–9-0.0324%12 Nov →
cache7–13-0.046%12 Nov →
nuke13–90.0413%12 Nov →
nuke13–80.0122%12 Nov →
inferno13–70.0115%11 Nov →
dust213–70.1822%11 Nov →
ancient13–30.0216%11 Nov →
ancient16–140.1424%9 Nov →
dust213–30.1217%9 Nov →
mirage9–13-0.0532%9 Nov →
nuke6–13-0.0524%9 Nov →
ancient6–13-0.033%8 Nov →
nuke10–13-0.0327%8 Nov →
inferno4–13-0.0622%8 Nov →
anubis13–9-0.0129%8 Nov →
mirage6–130.0632%8 Nov →
inferno13–90.0016%8 Nov →
mirage16–120.069%5 Nov →
inferno6–13-0.0539%5 Nov →
anubis11–130.0813%4 Nov →
anubis13–90.0532%4 Nov →
mirage16–140.1029%4 Nov →
ancient13–10-0.0238%4 Nov →
mirage11–13-0.0615%3 Nov →
nuke1–13-0.128%3 Nov →
dust213–60.0823%2 Nov →
ancient4–13-0.049%1 Nov →
dust213–100.0216%1 Nov →
cache13–70.0924%1 Nov →
inferno7–130.0319%1 Nov →
mirage13–50.0316%1 Nov →
anubis13–100.0821%1 Nov →
dust28–130.0221%31 Oct →
ancient13–50.0122%31 Oct →
anubis13–100.0211%31 Oct →
cache16–130.0617%31 Oct →
mirage7–130.0215%31 Oct →
nuke16–120.0611%31 Oct →
nuke10–13-0.0524%30 Oct →
ancient16–130.0317%30 Oct →
nuke16–120.0117%29 Oct →
inferno5–13-0.0153%29 Oct →
mirage13–70.0011%29 Oct →
dust213–110.0719%28 Oct →
mirage8–13-0.0326%28 Oct →
ancient13–30.0529%28 Oct →
inferno13–40.0811%26 Oct →
nuke14–16-0.0320%26 Oct →
anubis13–90.0819%25 Oct →
mirage13–30.0028%25 Oct →
inferno7–13-0.0410%25 Oct →
dust213–70.0314%25 Oct →
nuke13–4-0.0322%16 Oct →
dust21–13-0.0116%15 Oct →
anubis9–130.0414%15 Oct →
mirage12–160.0011%15 Oct →
dust23–130.0225%15 Oct →
mirage13–110.0116%15 Oct →
dust26–13-0.0715%15 Oct →
dust213–100.0322%14 Oct →
dust23–13-0.0221%14 Oct →
ancient9–13-0.0814%14 Oct →
dust29–13-0.0526%14 Oct →
nuke5–130.0133%14 Oct →
inferno13–50.079%12 Oct →
nuke1–13-0.1017%12 Oct →
nuke13–70.024%12 Oct →
inferno4–13-0.0319%12 Oct →
ancient13–10.0318%12 Oct →
dust28–13-0.0621%12 Oct →
anubis1–13-0.0831%11 Oct →
ancient13–160.0417%11 Oct →
mirage13–5-0.0319%11 Oct →
cache3–13-0.0527%10 Oct →
inferno13–11-0.024%10 Oct →
cache3–13-0.1112%10 Oct →
nuke16–13-0.0028%10 Oct →
dust29–130.0213%9 Oct →
cache13–80.0210%9 Oct →
cache4–130.0621%9 Oct →
mirage11–130.027%9 Oct →
cache13–100.0715%9 Oct →
inferno13–4-0.0315%8 Oct →
ancient8–130.0731%8 Oct →
cache15–150.0624%8 Oct →
inferno12–16-0.0319%8 Oct →
inferno11–13-0.0623%8 Oct →
dust29–130.0117%4 Oct →
dust213–20.085%4 Oct →
dust215–150.0220%4 Oct →
cache9–130.0129%4 Oct →
dust27–13-0.0818%4 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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