MAGUILA SKINS — CS2 Stats

76561198969271917[U:1:1009006189]✓ No bans

305Tracked matches54%Win rate2025Tracked since
762Hours in CS47Hrs last 2 wks
CSDB Rating2.9 Learning
Premier CS Rating8,992Light Blue band · top ~59.7% of ranked players (population est.)
CSDB Leaderboard#28997 of 39419 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate34.7%39.7%41.4%6.7% short
Shot accuracy0.1%6.7%9.0%8.9% short
Kill/death ratio0.770.910.970.20 short
Match win rate40.3%42.1%43.7%3.4% short

This profile sits below the typical Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGMAGUILA SKINSPREMIER8,992 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim23
Positioning36
Utility59

0–100 skill scores via Leetify.

Recent form

HOT45514Last 10045%Win rateWWWLWWLWWT

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim2.3
Aggression5.7
Utility5.9
Positioning3.6
Opening Duels1.7
Clutch6.0

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 77% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 45% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 54% 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

Aim2.3
Positioning3.6
Utility5.9
Mechanics0.9
Opening Duels1.8
Win Impact6.2

Composite 2.9/10 (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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time619ms−25ms
first ⅓ avg 644ms → last ⅓ avg 619ms
Headshot accuracy7.9%−1.1%
first ⅓ avg 9.0% → last ⅓ avg 7.9%

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

0.09Best rating — cache 13–4
131Biggest win — dust2
6Longest win streak
W3Current streak
88In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 67% over 12mirageWeakest map · 23% over 22
MapGradePlayedRecordWin rateAvg rating
mirageD2251723%-0.05
dust2C1871139%-0.01
infernoB147750%-0.03
ancientS128467%-0.03
nukeA117464%-0.04
anubisD103730%-0.01
cacheA85363%-0.02
train42250%-0.00
overpass110100%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (23% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,640Lifetime kills
0.77K/D
923Matches
40.3%Match win rate
34.7%Headshot %
0.1%Shot accuracy
1,220MVPs
337Hours (in match)
655Bombs planted
112Bombs defused

Most-used weapons

Lifetime map wins

2,185dust2
1,222inferno
541nuke
250train
73vertigo
9ar_shoots
5ar_baggage

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

Faceit stats

Combat

8Matches
38%Win rate
0.43Avg K/D
60.1ADR
32%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust220%0.447.0
Mirage2100%0.569.5
Inferno250%0.428.5
Anubis10%0.479.0
Overpass10%0.112.0

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.

7.3%Headshot accuracy
31.4%Accuracy (enemy spotted)
35.1%Spray accuracy
53.9%Counter-strafing
11.1°Preaim
623msReaction time
28.7%T opening success
44.8%CT opening success
0.71Enemies flashed / flash
6.4%Flash assists
7.70HE damage / grenade
14.75Flashes / 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 7.3238% — below the 15% mark we flag

    Aim Training
  2. 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 28.6636% — 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.

23% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.036%30 Aug
inferno13–11-0.0011%30 Aug
inferno13–10-0.035%29 Aug
mirage14–16-0.0910%28 Aug
cache13–5-0.060%28 Aug
ancient16–12-0.055%28 Aug
mirage9–13-0.0610%28 Aug
dust213–110.0214%28 Aug
nuke13–3-0.0217%27 Aug
nuke15–15-0.083%27 Aug
mirage6–13-0.037%27 Aug
inferno10–13-0.035%26 Aug
mirage6–13-0.057%26 Aug
cache12–12-0.036%26 Aug
train13–6-0.014%26 Aug
dust213–80.036%26 Aug
mirage13–7-0.038%23 Aug
inferno13–10-0.037%23 Aug
overpass13–8-0.074%22 Aug
nuke13–10-0.090%22 Aug
nuke1–13-0.035%22 Aug
mirage3–13-0.069%22 Aug
mirage3–13-0.117%20 Aug
anubis2–13-0.035%20 Aug
dust24–13-0.0617%20 Aug
cache11–13-0.034%20 Aug
inferno12–5-0.0317%20 Aug
anubis10–13-0.053%19 Aug
inferno13–8-0.068%19 Aug
mirage9–130.0715%19 Aug
nuke13–9-0.0612%19 Aug
ancient13–11-0.0510%18 Aug
mirage13–8-0.0615%18 Aug
anubis13–20.078%18 Aug
dust29–13-0.0412%18 Aug
nuke7–130.067%17 Aug
mirage8–13-0.028%17 Aug
anubis13–50.0910%17 Aug
dust213–10-0.026%17 Aug
ancient13–9-0.0417%17 Aug
mirage8–130.0615%16 Aug
dust213–9-0.045%15 Aug
ancient16–14-0.066%14 Aug
ancient4–13-0.047%14 Aug
train9–130.038%14 Aug
dust213–50.033%14 Aug
inferno3–7-0.036%14 Aug
train6–130.019%14 Aug
dust212–12-0.028%13 Aug
dust26–130.0612%13 Aug
ancient13–20.058%13 Aug
dust23–13-0.0418%8 Aug
mirage11–13-0.0810%7 Aug
mirage9–13-0.068%7 Aug
anubis11–130.034%6 Aug
ancient3–13-0.073%6 Aug
cache5–6-0.038%6 Aug
mirage11–13-0.099%5 Aug
inferno13–11-0.037%5 Aug
mirage5–13-0.103%5 Aug
dust27–13-0.0215%4 Aug
ancient4–13-0.049%4 Aug
dust25–13-0.0713%4 Aug
mirage13–10-0.046%3 Aug
inferno7–13-0.0212%3 Aug
mirage0–11-0.080%3 Aug
train13–4-0.0316%3 Aug
cache13–5-0.062%3 Aug
inferno3–13-0.140%3 Aug
inferno12–120.019%3 Aug
mirage0–13-0.0514%2 Aug
nuke13–3-0.058%2 Aug
nuke13–9-0.083%1 Aug
nuke10–13-0.0411%1 Aug
inferno9–130.0514%1 Aug
anubis5–13-0.054%28 Jul
anubis3–13-0.023%28 Jul
inferno3–13-0.007%28 Jul
dust27–130.0011%28 Jul
mirage13–7-0.047%28 Jul
dust213–6-0.0110%27 Jul
inferno13–11-0.016%26 Jul
nuke13–9-0.018%26 Jul
mirage9–13-0.078%23 Jul
anubis11–13-0.038%21 Jul
dust21–13-0.036%21 Jul
anubis13–2-0.0220%21 Jul
ancient8–13-0.0711%21 Jul
dust214–160.078%20 Jul
dust210–13-0.0910%20 Jul
dust213–10.0515%20 Jul
ancient13–90.0411%19 Jul
cache8–13-0.098%17 Jul
anubis7–13-0.109%17 Jul
nuke13–10-0.0716%17 Jul
ancient13–11-0.036%16 Jul
mirage11–13-0.088%16 Jul
cache13–50.0321%16 Jul
ancient13–7-0.036%16 Jul
cache13–40.0911%16 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 →