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MrFlipDatBurger

MrFlipDatBurger — CS2 Stats

76561199213185574[U:1:1252919846]Steam profile ↗✓ No bans

1,372Tracked matches39%Win rate2023Tracked since
CSDB Rating4.9 DevelopingHybrid Rifler
Premier CS Rating11,389Blue band · top ~47.5% of ranked players (population est.)
CSDB Leaderboard#37475 of 53885 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMrFlipDatBurgerFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER11,389 · Blue bandcsdb.gg/stats

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Performance scores

Aim80
Positioning50
Utility17

0–100 skill scores via Leetify.

Recent form

COLD42–50–8Last 10042%Win rateLLLLWWLWLL

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

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

Aim8.0
Aggression6.4
Utility1.7
Positioning5.0
Opening Duels2.2

Limited utility dependence

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 84% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 595ms 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

Aim8.0
Positioning5.0
Utility1.7
Mechanics7.9
Opening Duels2.2
Win Impact1.4

Composite 4.9/10 (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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time600ms−13ms
first ⅓ avg 614ms → last ⅓ avg 600ms
Headshot accuracy14.1%+0.8%
first ⅓ avg 13.3% → last ⅓ avg 14.1%

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

0.18Best rating — mirage 13–6
13–1Biggest win — nuke
5Longest win streak
L4Current streak
8–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 57% over 30infernoWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
nukeA3017–1357%0.00
mirageC2410–1442%0.01
dust2C177–1041%0.00
infernoD152–1313%-0.01
anubisC52–340%-0.01
cache—31–233%0.02
ancient—32–167%0.03
vertigo—31–233%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

20Matches
50%Win rate
0.74Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%0.8611.3
Nuke30%0.6710.3
Anubis20%0.508.5
Overpass1100%1.0617.0
Ancient1100%0.649.0
Inferno10%0.8016.0
Vertigo1100%0.504.0

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.

13.7%Headshot accuracy
41.2%Accuracy (enemy spotted)
43.3%Spray accuracy
85.4%Counter-strafing
9.8°Preaim
595msReaction time
35.9%T opening success
41.5%CT opening success
0.15Enemies flashed / flash
1.4%Flash assists
11.35HE damage / grenade
1.08Flashes / 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 13.7347% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1546 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 35.8853% — below the 40% mark we flag

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.

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0319%31 Aug →
mirage8–13-0.0226%30 Aug →
mirage5–130.0213%30 Aug →
cache11–13-0.018%30 Aug →
anubis13–80.0212%30 Aug →
mirage13–40.0822%29 Aug →
ancient7–130.034%29 Aug →
nuke13–100.0616%29 Aug →
dust25–13-0.068%29 Aug →
dust28–130.0511%28 Aug →
mirage4–13-0.1021%28 Aug →
mirage4–13-0.0438%28 Aug →
inferno5–130.0214%28 Aug →
nuke13–10.0622%28 Aug →
mirage9–12-0.0610%28 Aug →
dust213–6-0.036%28 Aug →
nuke13–40.0014%28 Aug →
vertigo13–80.0610%28 Aug →
mirage13–90.0218%28 Aug →
inferno15–150.027%27 Aug →
anubis1–13-0.123%27 Aug →
mirage9–13-0.0413%27 Aug →
mirage3–130.0116%27 Aug →
dust216–13-0.0211%27 Aug →
inferno9–130.0218%27 Aug →
dust213–4-0.029%27 Aug →
nuke13–7-0.0617%27 Aug →
mirage9–11-0.0123%27 Aug →
mirage3–13-0.016%22 Aug →
inferno15–150.016%22 Aug →
dust211–130.0616%20 Aug →
nuke11–130.033%20 Aug →
nuke4–13-0.0124%20 Aug →
anubis14–160.0213%19 Aug →
dust28–130.0128%19 Aug →
mirage13–100.0728%18 Aug →
inferno15–15-0.087%17 Aug →
dust213–50.1018%17 Aug →
inferno8–13-0.069%17 Aug →
nuke13–110.0511%16 Aug →
cache13–80.0810%16 Aug →
mirage13–50.069%13 Aug →
dust210–130.027%13 Aug →
nuke13–110.0411%13 Aug →
dust210–130.028%12 Aug →
nuke9–13-0.096%12 Aug →
dust28–13-0.0515%12 Aug →
ancient13–70.0210%11 Aug →
nuke13–60.0612%11 Aug →
nuke13–10-0.0610%10 Aug →
mirage13–90.0313%10 Aug →
nuke13–8-0.049%10 Aug →
anubis9–13-0.0414%10 Aug →
nuke13–40.0410%9 Aug →
mirage4–13-0.110%8 Aug →
inferno8–80.0517%8 Aug →
mirage5–13-0.0018%7 Aug →
inferno2–00.0933%7 Aug →
nuke13–60.0320%6 Aug →
nuke7–13-0.007%6 Aug →
mirage12–120.0311%3 Aug →
nuke13–90.0515%3 Aug →
nuke10–130.0113%31 Jul →
dust213–11-0.015%30 Jul →
nuke4–13-0.0537%21 Jul →
nuke13–20.1033%21 Jul →
nuke6–130.0018%15 Jul →
mirage13–11-0.0415%15 Jul →
mirage13–11-0.0411%14 Jul →
nuke13–90.0310%14 Jul →
nuke13–100.046%13 Jul →
inferno15–15-0.037%13 Jul →
nuke8–130.0112%11 Jul →
mirage15–150.0816%11 Jul →
dust213–90.0517%9 Jul →
cache10–130.0112%9 Jul →
nuke9–13-0.027%6 Jul →
mirage13–50.0710%5 Jul →
vertigo12–120.0712%5 Jul →
inferno10–130.029%1 Jul →
anubis13–80.0513%1 Jul →
inferno9–7-0.0338%1 Jul →
inferno10–13-0.0611%27 Jun →
ancient13–70.0313%27 Jun →
dust213–11-0.0413%26 Jun →
nuke8–130.037%26 Jun →
inferno9–13-0.0410%24 Jun →
mirage13–60.189%24 Jun →
dust214–160.0311%22 Jun →
mirage13–20.099%22 Jun →
mirage7–12-0.0115%21 Jun →
vertigo8–13-0.0623%19 Jun →
nuke13–50.0715%19 Jun →
nuke3–13-0.115%17 Jun →
dust25–13-0.0812%15 Jun →
inferno13–16-0.0815%15 Jun →
inferno11–13-0.0138%14 Jun →
nuke11–13-0.0313%13 Jun →
dust214–16-0.0321%11 Jun →
nuke13–5-0.055%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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