Don Quichotte de Flamingo

Don Quichotte de Flamingo — CS2 Stats

CF76561199026433485[U:1:1066167757]Steam profile ↗

384Tracked matches28%Win rate2020Tracked since
CSDB Rating3.2 Learning
Premier CS Rating6,397Light Blue band · top ~72.1% of ranked players (population est.)
CSDB Leaderboard#20582 of 27022 tracked
Ladder ranks via Leetify

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CSDB.GGDon Quichotte de FlamingoPREMIER6,397 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning28
Utility58

0–100 skill scores via Leetify.

Recent form

COLD41563Last 10041%Win rateLLLLWLLLWL

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

Player DNA

Aim4.1
Aggression3.1
Utility5.8
Positioning2.8
Opening Duels0.0
Clutch0.0

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 75% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 36% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 656ms 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

Aim4.1
Positioning2.8
Utility5.8
Mechanics5.1
Opening Duels0.8
Win Impact0.0

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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time660ms−45ms
first ⅓ avg 705ms → last ⅓ avg 660ms
Headshot accuracy13.9%+2.1%
first ⅓ avg 11.8% → last ⅓ avg 13.9%

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

0.17Best rating — inferno 13–5
132Biggest win — ancient
4Longest win streak
L4Current streak
88In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 78% over 9cacheWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B24121250%-0.02
mirageC2281436%-0.04
cacheD1641225%-0.03
ancientC104640%-0.01
infernoD103730%-0.02
nukeS97278%-0.01
anubisD93633%-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

17Matches
65%Win rate
0.68Avg K/D
62.0ADR
34%Headshot %

Clutches & streaks

17%1v1 clutch win
8%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage771%0.698.6
Dust2560%0.8012.2
Ancient367%0.518.3
Anubis10%0.538.0
Cache1100%0.7110.0

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.

13.4%Headshot accuracy
30.0%Accuracy (enemy spotted)
30.0%Spray accuracy
72.9%Counter-strafing
9.0°Preaim
656msReaction time
15.4%T opening success
36.3%CT opening success
0.61Enemies flashed / flash
1.7%Flash assists
9.99HE damage / grenade
12.14Flashes / 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 13.4061% — 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 15.3701% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage9–130.0416%27 Aug
dust24–13-0.0415%27 Aug
dust26–13-0.0316%25 Aug
cache6–13-0.0310%22 Aug
dust213–50.1020%22 Aug
dust26–13-0.079%21 Aug
ancient9–13-0.0214%19 Aug
mirage7–13-0.0118%19 Aug
nuke13–60.0316%18 Aug
cache8–13-0.0511%18 Aug
mirage7–13-0.1014%18 Aug
dust213–3-0.0414%18 Aug
dust24–13-0.0412%17 Aug
ancient14–160.0712%17 Aug
cache13–100.004%17 Aug
cache7–13-0.0814%16 Aug
mirage10–13-0.0414%15 Aug
ancient10–13-0.055%15 Aug
inferno9–130.0112%15 Aug
dust213–7-0.0912%15 Aug
inferno15–15-0.0213%15 Aug
ancient7–13-0.0521%15 Aug
mirage13–110.0315%13 Aug
cache12–140.0515%12 Aug
anubis5–13-0.0714%12 Aug
dust25–13-0.0428%12 Aug
inferno4–13-0.075%12 Aug
cache11–13-0.0116%11 Aug
mirage13–10-0.0216%11 Aug
dust216–130.0012%11 Aug
cache14–16-0.0213%10 Aug
mirage9–13-0.0119%10 Aug
dust27–13-0.0316%9 Aug
dust213–16-0.068%9 Aug
mirage13–50.028%4 Aug
mirage15–15-0.066%4 Aug
mirage13–11-0.0514%3 Aug
ancient14–16-0.0311%2 Aug
ancient13–11-0.0214%1 Aug
mirage6–13-0.1110%1 Aug
dust213–10-0.1013%31 Jul
cache13–10-0.0519%31 Jul
mirage8–13-0.0710%30 Jul
dust213–9-0.0214%30 Jul
ancient13–110.0415%30 Jul
mirage13–11-0.0419%29 Jul
mirage13–8-0.0816%28 Jul
cache10–13-0.075%28 Jul
dust29–13-0.0615%28 Jul
nuke13–90.0411%28 Jul
ancient13–16-0.028%28 Jul
anubis7–13-0.0314%28 Jul
mirage10–13-0.0315%27 Jul
anubis13–9-0.0114%27 Jul
inferno4–13-0.0520%26 Jul
nuke13–9-0.0610%26 Jul
nuke8–13-0.0214%26 Jul
nuke13–10-0.037%24 Jul
ancient13–2-0.0219%24 Jul
cache11–13-0.0224%24 Jul
dust213–100.0325%24 Jul
dust216–12-0.0218%23 Jul
mirage5–130.0013%23 Jul
inferno11–13-0.0916%23 Jul
nuke13–11-0.0419%23 Jul
cache8–13-0.078%23 Jul
dust216–12-0.0113%21 Jul
inferno8–13-0.0614%21 Jul
anubis13–20.0511%21 Jul
mirage6–13-0.100%21 Jul
inferno13–7-0.073%21 Jul
cache10–13-0.0313%21 Jul
inferno12–6-0.0714%21 Jul
mirage4–13-0.0911%20 Jul
cache9–13-0.0715%20 Jul
cache13–11-0.0723%20 Jul
cache13–5-0.0112%20 Jul
mirage13–80.0616%20 Jul
dust213–20.0217%20 Jul
anubis5–130.0321%20 Jul
anubis8–13-0.043%19 Jul
anubis13–60.0618%19 Jul
nuke13–11-0.029%19 Jul
inferno13–50.1711%19 Jul
ancient13–7-0.069%18 Jul
nuke11–130.0113%18 Jul
dust27–13-0.0615%18 Jul
mirage5–13-0.077%18 Jul
inferno4–130.0523%18 Jul
dust213–8-0.0132%18 Jul
anubis3–13-0.0713%17 Jul
cache15–15-0.0211%17 Jul
nuke13–90.0114%17 Jul
mirage7–13-0.057%16 Jul
dust26–00.045%16 Jul
anubis7–13-0.113%16 Jul
mirage13–2-0.046%16 Jul
dust210–13-0.0110%16 Jul
dust210–130.064%16 Jul
dust26–13-0.058%15 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 →