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Mirage — CS2 Stats

76561198137124502[U:1:176858774]✓ No bans

1,350Tracked matches50%Win rate2021Tracked since
CSDB Rating5.1 DevelopingHybrid Rifler
Premier CS Rating14,891Blue band · top ~29% of ranked players (population est.)
CSDB Leaderboard#13471 of 20866 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMirageFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER14,891 · Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning52
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLLWLLWWLLW

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.2
Aggression6.3
Utility6.6
Positioning5.2
Opening Duels1.5
Clutch4.2

Strong CT-side openerEffective flashes

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 44% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms 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

Aim6.2
Positioning5.2
Utility6.6
Mechanics5.6
Opening Duels1.7
Win Impact5.0

Composite 5.1/10 (Developing), 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+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time575ms−72ms
first ⅓ avg 647ms → last ⅓ avg 575ms
Headshot accuracy10.7%−0.5%
first ⅓ avg 11.2% → last ⅓ avg 10.7%

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

0.13Best rating — inferno 13–6
13–0Biggest win — dust2
4Longest win streak
L2Current streak
8–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 75% over 8dust2Weakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
dust2C197–1237%-0.02
infernoA1710–759%0.02
ancientC167–944%-0.00
mirageC167–944%0.01
anubisB137–654%0.00
cacheS86–275%-0.01
nuke—42–250%0.02
train—32–167%-0.03
overpass—31–233%-0.06
office—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

183Matches
55%Win rate
0.94Avg K/D
72.4ADR
39%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3850%0.9612.4
Dust23158%0.8912.1
Ancient2646%0.7812.0
Inferno1747%0.9212.5
Anubis1776%0.9411.7
Nuke1479%1.2515.6
Cache1362%1.1515.5
Overpass1369%1.0114.0

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.

10.6%Headshot accuracy
36.9%Accuracy (enemy spotted)
36.7%Spray accuracy
75.4%Counter-strafing
9.8°Preaim
569msReaction time
28.4%T opening success
43.6%CT opening success
0.74Enemies flashed / flash
4.9%Flash assists
10.13HE damage / grenade
9.15Flashes / 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 10.5923% — 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 28.3928% — below the 40% mark we flag

Spend your practice time on Dust 2

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.076%23 Jul →
dust29–130.0515%23 Jul →
inferno13–7-0.047%22 Jul →
dust25–13-0.029%22 Jul →
ancient8–13-0.039%21 Jul →
inferno13–60.1314%20 Jul →
train13–8-0.015%20 Jul →
ancient10–13-0.0213%20 Jul →
ancient11–130.0112%20 Jul →
cache13–11-0.0311%20 Jul →
cache13–50.0412%20 Jul →
ancient13–8-0.019%20 Jul →
cache13–80.0613%20 Jul →
mirage15–150.0411%19 Jul →
cache13–11-0.0316%19 Jul →
anubis6–13-0.054%19 Jul →
nuke13–60.1113%18 Jul →
mirage13–40.1214%18 Jul →
inferno13–80.0313%18 Jul →
ancient11–13-0.0111%17 Jul →
anubis13–90.105%17 Jul →
ancient15–150.027%17 Jul →
anubis13–20.0416%17 Jul →
dust211–130.0615%17 Jul →
dust211–130.028%17 Jul →
mirage7–13-0.0410%17 Jul →
office8–13-0.0612%17 Jul →
cache9–13-0.0112%17 Jul →
inferno13–50.0210%16 Jul →
anubis8–13-0.077%13 Jul →
dust213–7-0.0616%12 Jul →
dust213–11-0.0111%10 Jul →
mirage6–13-0.077%9 Jul →
dust22–13-0.0015%9 Jul →
cache13–5-0.023%7 Jul →
cache13–4-0.0211%6 Jul →
dust213–80.0210%5 Jul →
inferno6–130.026%4 Jul →
inferno8–13-0.0114%4 Jul →
ancient6–13-0.048%4 Jul →
inferno13–160.0611%4 Jul →
inferno8–13-0.087%3 Jul →
inferno13–16-0.0216%3 Jul →
dust215–15-0.0418%2 Jul →
overpass13–11-0.0513%2 Jul →
ancient13–4-0.013%2 Jul →
inferno13–10.039%2 Jul →
overpass13–16-0.0614%2 Jul →
dust213–4-0.0311%2 Jul →
inferno6–13-0.0521%2 Jul →
mirage13–90.0912%2 Jul →
dust24–13-0.044%2 Jul →
inferno13–10.0521%2 Jul →
nuke4–13-0.058%2 Jul →
anubis13–4-0.0318%2 Jul →
dust213–00.0515%2 Jul →
anubis13–50.0320%1 Jul →
mirage5–10-0.047%1 Jul →
inferno13–80.0314%30 Jun →
mirage9–130.028%30 Jun →
anubis11–130.049%30 Jun →
nuke6–13-0.0211%30 Jun →
ancient13–90.0110%30 Jun →
dust213–110.0412%30 Jun →
ancient13–50.065%29 Jun →
anubis13–50.1016%29 Jun →
dust20–13-0.133%29 Jun →
ancient16–140.0211%29 Jun →
inferno13–50.057%28 Jun →
mirage8–130.0318%28 Jun →
ancient9–13-0.036%27 Jun →
inferno13–50.0912%27 Jun →
anubis9–13-0.104%25 Jun →
mirage13–8-0.039%25 Jun →
ancient13–50.0211%25 Jun →
mirage13–110.014%24 Jun →
mirage13–60.0510%24 Jun →
overpass8–13-0.068%24 Jun →
dust213–60.017%24 Jun →
ancient13–10-0.0012%24 Jun →
train12–12-0.054%24 Jun →
train10–2-0.043%24 Jun →
nuke13–40.0519%22 Jun →
ancient10–130.048%16 Jun →
anubis11–130.0113%16 Jun →
mirage2–8-0.0817%16 Jun →
inferno13–100.0413%16 Jun →
anubis13–11-0.0111%15 Jun →
inferno7–13-0.063%14 Jun →
mirage13–70.0612%12 Jun →
anubis13–6-0.0215%10 Jun →
dust22–13-0.0623%10 Jun →
mirage13–70.0214%9 Jun →
mirage5–13-0.0021%9 Jun →
dust21–13-0.093%9 Jun →
anubis13–16-0.037%9 Jun →
dust21–13-0.0918%8 Jun →
ancient6–13-0.0913%8 Jun →
dust25–13-0.0412%7 Jun →
mirage14–16-0.0522%7 Jun →

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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