SMEAGOLL_MHY69 SKINS

SMEAGOLL_MHY69 SKINS — CS2 Stats

RO76561199819623658[U:1:1859357930]Steam profile ↗✓ No bans

296Tracked matches63%Win rate2025Tracked since
790Hours in CS26Hrs last 2 wks
CSDB Rating3.2 Learning
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim24
Positioning39
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY42499Last 10042%Win rateTWTWLLWWWW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Aim2.4
Aggression3.5
Utility5.0
Positioning3.9
Opening Duels0.3
Clutch4.4

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 70% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Reaction time. 684ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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
Positioning3.9
Utility5.0
Mechanics2.4
Opening Duels0.3
Win Impact9.3

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time665ms−78ms
first ⅓ avg 742ms → last ⅓ avg 665ms
Headshot accuracy10.6%−3.5%
first ⅓ avg 14.1% → last ⅓ avg 10.6%

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.

Highlights

0.26Best rating — inferno 9–0
130Biggest win — mirage
9Longest win streak
15In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 75% over 8ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC29121741%-0.04
dust2B1991047%-0.02
infernoD1551033%-0.03
nukeA106460%-0.01
anubisS86275%-0.02
ancientD81713%-0.09
cache42250%-0.02
vertigo2020%0.03
office21150%-0.03
train1010%0.02
alpine1010%-0.01
overpass1010%-0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,692Lifetime kills
0.82K/D
971Matches
38.7%Match win rate
37.7%Headshot %
0.0%Shot accuracy
2,093MVPs
293Hours (in match)
645Bombs planted
141Bombs defused

Most-used weapons

Lifetime map wins

1,581dust2
1,133inferno
443nuke
212vertigo
53office
39train
3ar_baggage
2ar_shoots

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

Faceit stats

Combat

85Matches
46%Win rate
0.72Avg K/D
65.5ADR
36%Headshot %

Clutches & streaks

42%1v1 clutch win
12%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3040%0.6410.9
Dust22945%0.7812.1
Ancient956%0.7111.2
Nuke850%0.549.0
Inferno560%1.0515.4
Anubis367%0.8915.0
Overpass10%0.7720.0

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.

10.9%Headshot accuracy
31.1%Accuracy (enemy spotted)
35.8%Spray accuracy
60.7%Counter-strafing
12.1°Preaim
684msReaction time
30.7%T opening success
31.9%CT opening success
0.63Enemies flashed / flash
6.2%Flash assists
7.09HE damage / grenade
10.65Flashes / 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 12.0668° — 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 10.8994% — below the 15% mark we flag

    Aim Training
Spend your practice time on Ancient

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache12–12-0.016%27 Aug
dust213–3-0.076%19 Aug
train12–120.027%18 Aug
nuke13–100.0818%10 Jul
cache3–6-0.040%25 Jun
nuke2–90.000%29 May
anubis13–8-0.0313%28 May
anubis13–7-0.006%28 May
cache13–10-0.039%8 May
cache12–3-0.0215%8 May
dust213–10-0.0111%19 Apr
dust28–130.0115%3 Apr
dust213–7-0.0315%2 Apr
dust213–30.028%1 Apr
anubis5–13-0.066%1 Apr
anubis13–10-0.019%1 Apr
mirage13–2-0.1213%28 Mar
dust29–13-0.098%28 Mar
mirage13–11-0.0411%28 Mar
inferno8–13-0.0921%21 Feb
anubis13–50.057%21 Feb
mirage0–13-0.0818%21 Feb
dust213–20.1411%21 Feb
inferno13–9-0.0617%11 Feb
vertigo12–120.087%11 Feb
vertigo10–13-0.038%11 Feb
inferno8–8-0.0315%7 Feb
anubis3–13-0.0711%7 Feb
inferno3–11-0.027%7 Feb
mirage13–5-0.0116%7 Feb
mirage13–0-0.0622%6 Feb
dust27–13-0.057%3 Feb
mirage12–16-0.079%1 Feb
dust23–13-0.0310%31 Jan
ancient5–13-0.140%28 Jan
dust21–90.016%27 Jan
ancient9–13-0.1020%26 Jan
mirage13–16-0.0422%25 Jan
anubis13–5-0.0717%25 Jan
anubis13–4-0.018%25 Jan
nuke13–30.0321%25 Jan
dust213–6-0.0712%25 Jan
mirage6–13-0.038%25 Jan
mirage13–100.0314%24 Jan
ancient10–130.0113%24 Jan
dust213–10.0717%24 Jan
mirage15–150.017%23 Jan
ancient7–13-0.109%22 Jan
mirage9–13-0.059%22 Jan
mirage13–6-0.0010%22 Jan
dust27–13-0.0413%22 Jan
alpine4–13-0.0123%22 Jan
office13–5-0.0417%21 Jan
office6–13-0.0314%21 Jan
dust28–13-0.0619%21 Jan
mirage13–6-0.0423%20 Jan
dust29–13-0.0226%20 Jan
inferno7–9-0.0416%18 Jan
dust213–80.0111%18 Jan
mirage2–13-0.0327%18 Jan
ancient13–9-0.018%17 Jan
overpass10–13-0.123%17 Jan
mirage14–16-0.0719%17 Jan
ancient4–13-0.1310%17 Jan
mirage3–13-0.0814%16 Jan
mirage0–13-0.0412%16 Jan
mirage3–13-0.1011%9 Jan
mirage13–100.0022%8 Jan
mirage13–6-0.0222%8 Jan
nuke9–13-0.119%8 Jan
mirage9–130.0112%7 Jan
inferno8–8-0.0221%3 Jan
nuke4–9-0.0931%3 Jan
inferno7–9-0.197%3 Jan
inferno8–8-0.1614%3 Jan
inferno9–30.089%3 Jan
mirage1–13-0.106%2 Jan
nuke12–16-0.066%24 Dec
mirage7–13-0.0210%24 Dec
ancient7–13-0.114%24 Dec
inferno8–8-0.0121%24 Dec
dust213–4-0.0513%23 Dec
mirage3–13-0.0410%23 Dec
nuke13–8-0.0218%22 Dec
inferno8–8-0.0316%22 Dec
mirage16–12-0.0018%22 Dec
nuke13–100.0340%22 Dec
inferno9–00.2624%21 Dec
inferno9–3-0.156%21 Dec
inferno9–40.056%21 Dec
nuke13–50.0318%21 Dec
mirage13–60.0315%21 Dec
nuke13–60.0613%21 Dec
mirage13–10-0.073%20 Dec
dust211–13-0.0318%20 Dec
mirage9–13-0.0114%20 Dec
dust27–13-0.120%20 Dec
ancient0–7-0.110%20 Dec
mirage11–130.0210%20 Dec
inferno5–9-0.0827%19 Dec

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 →