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Mr. Miyagi — CS2 Stats

76561199509681699[U:1:1549415971]

1,046Tracked matches28%Win rate2023Tracked since
CSDB Rating3.2 Learning
Premier CS Rating11,016Blue band · top ~49.5% of ranked players (population est.)
CSDB Leaderboard#22092 of 31010 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMr. MiyagiFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER11,016 · Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning41
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateLLWLTWWLLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Aim3.4
Aggression3.7
Utility5.1
Positioning4.1
Opening Duels1.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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. 714ms 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

Aim3.4
Positioning4.1
Utility5.1
Mechanics4.5
Opening Duels1.2
Win Impact0.0

Composite 3.2/10 (Learning), 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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time722ms+36ms
first ⅓ avg 686ms → last ⅓ avg 722ms
Headshot accuracy16.1%+0.5%
first ⅓ avg 15.5% → last ⅓ avg 16.1%

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.

Highlights

0.12Best rating — ancient 13–3
13–0Biggest win — dust2
4Longest win streak
L2Current streak
7–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B179–853%-0.01
ancientC176–1135%-0.01
nukeB178–947%-0.01
infernoD165–1131%-0.00
mirageD165–1131%-0.00
anubisA53–260%-0.01
cacheC52–340%-0.04
overpassC52–340%0.00
vertigo—10–10%0.01
train—10–10%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
0%Win rate
0.48Avg K/D
—ADR
33%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient20%0.478.0
Overpass10%0.506.0

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.

16.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.7%Spray accuracy
70.2%Counter-strafing
13.3°Preaim
714msReaction time
33.6%T opening success
35.9%CT opening success
0.54Enemies flashed / flash
4.6%Flash assists
10.42HE damage / grenade
11.80Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.3353° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 714.3557ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Inferno

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0125%15 Aug →
inferno10–13-0.0112%15 Aug →
ancient13–10-0.0117%14 Aug →
mirage11–130.0022%14 Aug →
dust215–150.0123%14 Aug →
nuke16–140.0410%14 Aug →
anubis13–70.0115%10 Aug →
cache3–13-0.0416%6 Aug →
ancient4–130.0027%6 Aug →
nuke13–70.0731%5 Aug →
dust25–13-0.0313%5 Aug →
mirage11–13-0.0414%3 Aug →
anubis7–13-0.0613%3 Aug →
cache11–13-0.0114%31 Jul →
nuke3–13-0.0218%31 Jul →
ancient14–16-0.056%29 Jul →
mirage7–13-0.0613%29 Jul →
cache13–8-0.0721%28 Jul →
mirage5–13-0.0112%28 Jul →
nuke13–70.0615%28 Jul →
cache6–13-0.0411%26 Jul →
ancient7–13-0.076%24 Jul →
ancient2–13-0.0614%24 Jul →
nuke8–13-0.0432%24 Jul →
ancient5–13-0.0013%23 Jul →
inferno7–130.068%23 Jul →
dust213–90.0120%23 Jul →
inferno13–16-0.0213%22 Jul →
cache13–7-0.0416%21 Jul →
inferno6–13-0.0015%18 Jul →
nuke7–130.0012%17 Jul →
inferno4–130.0320%17 Jul →
dust28–13-0.0713%15 Jul →
inferno13–11-0.039%15 Jul →
dust213–110.0118%15 Jul →
anubis13–4-0.0015%15 Jul →
ancient1–130.0313%14 Jul →
nuke8–13-0.0315%14 Jul →
dust213–9-0.0420%14 Jul →
nuke13–4-0.0121%14 Jul →
dust213–90.019%13 Jul →
ancient15–150.026%11 Jul →
mirage13–160.0730%11 Jul →
anubis16–13-0.0113%9 Jul →
nuke13–5-0.0211%9 Jul →
ancient3–13-0.048%9 Jul →
dust213–110.0326%9 Jul →
mirage13–40.1018%27 Jun →
ancient7–13-0.047%4 Jun →
dust26–13-0.0913%26 May →
mirage5–13-0.0116%24 May →
anubis7–130.019%24 May →
nuke13–4-0.0614%24 May →
inferno2–13-0.0212%24 May →
dust29–13-0.0119%24 May →
mirage16–140.0217%24 May →
dust211–13-0.0318%23 May →
inferno16–130.0122%23 May →
overpass13–70.069%23 May →
mirage15–150.0023%17 May →
dust213–80.0130%17 May →
vertigo3–130.0110%18 Apr →
inferno4–9-0.0218%16 Apr →
mirage6–130.0222%3 Apr →
mirage13–7-0.037%15 Mar →
overpass11–13-0.0310%15 Mar →
inferno10–13-0.0016%28 Feb →
dust213–00.0913%28 Feb →
dust20–7-0.078%28 Feb →
mirage13–20.0926%27 Feb →
mirage10–13-0.0819%25 Feb →
mirage11–13-0.0217%25 Feb →
overpass7–13-0.0415%25 Feb →
ancient13–50.0713%24 Feb →
inferno13–80.0424%24 Feb →
nuke7–130.0216%19 Feb →
nuke9–130.0213%18 Feb →
mirage13–8-0.059%18 Feb →
overpass13–70.0414%18 Feb →
nuke13–80.0311%18 Feb →
ancient7–13-0.0521%17 Feb →
inferno13–1-0.0213%17 Feb →
nuke15–15-0.0511%27 Jan →
dust213–70.0715%27 Jan →
inferno3–13-0.0616%24 Jan →
nuke3–13-0.098%24 Jan →
inferno8–13-0.0514%17 Jan →
nuke13–30.0326%17 Jan →
ancient16–12-0.0418%17 Jan →
dust213–11-0.0317%17 Jan →
inferno13–110.0326%15 Jan →
nuke11–13-0.0721%15 Jan →
ancient7–13-0.0319%15 Jan →
mirage10–13-0.0213%13 Jan →
ancient13–5-0.037%12 Jan →
inferno11–130.0419%10 Jan →
train10–130.0216%8 Jan →
ancient13–40.0613%8 Jan →
ancient13–30.1212%8 Jan →
overpass8–13-0.0111%5 Jan →

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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