Miles — CS2 Stats

76561198781213664[U:1:820947936]

342Tracked matches68%Win rate2020Tracked since
CSDB Rating4.1 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMilesFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim24
Positioning49
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY56386Last 10056%Win rateLLWLLWLWWL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Aim2.4
Aggression4.9
Utility4.9
Positioning4.9
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 79% playstyle similarity

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

Where you differ: 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. 670ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.4
Positioning4.9
Utility4.9
Mechanics3.6
Opening Duels1.4
Win Impact10.0

Composite 4.1/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time672ms+25ms
first ⅓ avg 648ms → last ⅓ avg 672ms
Headshot accuracy15.2%−0.5%
first ⅓ avg 15.7% → last ⅓ avg 15.2%

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

0.11Best rating — dust2 13–3
131Biggest win — vertigo
7Longest win streak
L2Current streak
106In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 63% over 19trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A23131057%-0.02
mirageA1912763%-0.02
nukeA1911858%-0.04
infernoA116555%-0.04
ancientA74357%-0.05
overpassC73443%-0.03
trainC52340%-0.04
anubis42250%-0.05
vertigo330100%-0.05
cache2020%-0.04

Across the last 100 tracked matches.

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
28.4%Accuracy (enemy spotted)
32.6%Spray accuracy
66.1%Counter-strafing
13.3°Preaim
670msReaction time
27.9%T opening success
41.4%CT opening success
0.74Enemies flashed / flash
5.2%Flash assists
5.09HE damage / grenade
5.71Flashes / 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 13.286° — above the 12° mark we flag

    Aim Training
  2. 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 14.9023% — below the 15% mark we flag

    Aim Training
Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage11–130.0313%8 May
nuke9–13-0.0914%8 May
mirage13–8-0.0530%5 Feb
anubis9–13-0.0319%5 Feb
inferno8–130.0418%5 Feb
inferno13–11-0.0316%25 Jan
dust210–13-0.054%25 Jan
dust213–50.0322%25 Jan
mirage13–11-0.0413%25 Jan
mirage10–13-0.099%22 Jan
nuke13–20.0210%22 Jan
anubis13–6-0.0316%18 Jan
dust213–6-0.0228%18 Jan
dust212–120.0113%10 Jan
ancient13–11-0.0212%10 Jan
nuke6–13-0.088%10 Jan
nuke13–10-0.0417%8 Jan
dust213–10-0.0113%8 Jan
mirage13–3-0.0422%8 Jan
nuke12–12-0.0520%5 Dec
mirage13–8-0.0312%5 Dec
ancient13–8-0.057%5 Dec
inferno13–11-0.0222%5 Dec
dust213–50.0217%5 Dec
nuke13–11-0.0612%3 Dec
anubis13–11-0.047%3 Dec
dust28–13-0.0017%3 Dec
mirage13–50.0113%3 Dec
inferno13–11-0.0318%3 Dec
dust211–13-0.0910%3 Dec
train6–13-0.0521%3 Dec
vertigo13–11-0.0112%3 Dec
nuke6–9-0.1017%3 Dec
mirage13–5-0.0514%30 Nov
nuke13–7-0.0117%30 Nov
mirage9–13-0.0714%30 Nov
overpass10–13-0.0311%30 Nov
dust216–12-0.0132%19 Nov
overpass3–13-0.0817%19 Nov
nuke13–20.0521%19 Nov
inferno5–13-0.0422%2 Nov
dust23–13-0.0913%26 Oct
train13–9-0.0713%25 Oct
ancient8–13-0.0212%25 Oct
mirage13–30.0119%6 Oct
dust213–7-0.0515%6 Oct
nuke6–13-0.0610%6 Oct
train13–6-0.0122%27 Sept
mirage9–0-0.010%27 Sept
mirage13–7-0.0126%27 Sept
nuke9–3-0.0410%27 Sept
train11–130.0320%10 Sept
dust213–11-0.0414%10 Sept
dust210–13-0.0913%10 Sept
vertigo9–7-0.1715%7 Aug
nuke9–3-0.0118%7 Aug
nuke6–9-0.0817%7 Aug
mirage8–13-0.026%23 Jun
dust213–60.0018%23 Jun
mirage8–13-0.0112%23 Jun
dust22–13-0.0715%23 Jun
mirage4–13-0.072%23 Jun
anubis5–13-0.1123%12 Jun
dust211–13-0.1011%12 Jun
mirage13–6-0.0223%12 Jun
train10–13-0.086%12 Jun
inferno13–9-0.0813%12 Jun
nuke13–10-0.1021%23 Sept
dust213–60.0212%23 Sept
overpass13–9-0.038%23 Sept
nuke13–9-0.0219%1 Aug
dust213–30.1143%1 Aug
dust213–8-0.095%1 Aug
nuke12–12-0.0113%10 Mar
inferno10–10.0019%10 Mar
ancient7–13-0.098%10 Mar
nuke13–3-0.0312%10 Mar
vertigo13–10.0314%10 Feb
ancient13–6-0.0023%10 Feb
ancient6–13-0.0713%29 Dec
overpass11–13-0.0413%29 Dec
ancient13–8-0.0819%2 Dec
nuke5–13-0.0514%25 Nov
mirage15–15-0.0116%19 Nov
mirage13–10-0.0215%19 Nov
mirage13–60.0818%2 Sept
dust29–20.0523%1 Sept
dust215–15-0.0818%1 Sept
inferno12–16-0.0426%1 Sept
cache11–16-0.0511%1 Sept
overpass16–12-0.0513%22 Jul
cache8–16-0.0422%22 Jul
inferno13–16-0.089%22 Jul
inferno14–16-0.097%15 Jul
overpass16–13-0.0119%15 Jul
dust28–80.0421%15 Jul
nuke16–13-0.044%13 Jul
dust216–13-0.0414%13 Jul
overpass12–16-0.0015%7 Jul
inferno16–5-0.0416%7 Jul

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 →