Dr_Quesadilla

Dr_Quesadilla — CS2 Stats

AU76561198307126451[U:1:346860723]Steam profile ↗✓ No bans

1,302Tracked matches38%Win rate2023Tracked since
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating16,325Purple band · top ~23.1% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−291Premier CS Rating · 16,616 → 16,325

Rating over time

Premier CS Rating: 16,325 -2,572 28 Aug – 11 Oct · 26 days played
16,32520,758peak 20,75828 Aug11 Oct
21,090Peak Premier in tracked matches
30Days played since 2026-08-28

Premier CS Rating

  • 4,433 below peak (20,758)
  • -4,262 over 30 days · declining
  • Next: Pink band at 20,000 — 3,675 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGDr_QuesadillaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER16,325 · Purple bandcsdb.gg/stats

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Performance scores

Aim54
Positioning54
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateLWWLLWWWLL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +0.5pp headshot accuracy · −30ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 514ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 526ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 541ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.6 against its own average).

Aim5.4
Utility3.5
Positioning5.4
Opening Duels2.5
Clutch0.0

Strong CT-side openerLimited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Counter-strafing. Only 67% 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

Aim5.4
Positioning5.4
Utility3.5
Mechanics3.8
Opening Duels4.4
Win Impact1.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time552ms+1ms
first ⅓ avg 551ms → last ⅓ avg 552ms
Headshot accuracy16.7%−1.7%
first ⅓ avg 18.4% → last ⅓ avg 16.7%

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.

Personal bests

0.37Best match rating · 9–1 · inferno, 4 Oct →
67%Best headshot accuracy · 2–6 · rush_001, 2 Oct →
344msFastest reaction time · 13–10 · anubis, 26 Sept →
13–3Biggest win · mirage, 5 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–14In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 60% over 10mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB199–1047%-0.01
infernoD155–1033%-0.01
cacheD103–730%-0.02
anubisA106–460%-0.03
mirageD92–722%-0.04
ancientC94–544%-0.02
dust2C73–443%-0.03
vertigoC73–443%-0.03
rush_001C52–340%-0.03
overpass—42–250%0.00
office—21–150%-0.04
train—21–150%-0.01
debris—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.31Avg K/D
52.6ADR
20%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

14.4%Headshot accuracy
30.7%Accuracy (enemy spotted)
37.0%Spray accuracy
67.1%Counter-strafing
9.6°Preaim
545msReaction time
46.0%T opening success
49.4%CT opening success
0.48Enemies flashed / flash
3.1%Flash assists
9.28HE damage / grenade
2.66Flashes / 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 14.3796% — 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 0.478 — below the 0.5 mark we flag

    Grenade Lineups →
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0912%11 Oct →
mirage13–6-0.067%9 Oct →
inferno13–7-0.0120%8 Oct →
mirage8–130.0118%8 Oct →
nuke0–13-0.0519%7 Oct →
ancient13–90.0320%7 Oct →
anubis13–10-0.016%7 Oct →
inferno13–6-0.075%6 Oct →
mirage3–13-0.0427%6 Oct →
cache10–13-0.0317%6 Oct →
nuke10–130.0519%6 Oct →
nuke13–80.1127%6 Oct →
mirage9–13-0.0610%5 Oct →
dust24–13-0.066%5 Oct →
mirage13–3-0.0135%5 Oct →
anubis4–13-0.088%5 Oct →
debris5–9-0.0512%5 Oct →
vertigo9–30.1013%5 Oct →
inferno11–13-0.0710%4 Oct →
cache14–16-0.065%4 Oct →
dust29–13-0.0914%4 Oct →
nuke9–00.177%4 Oct →
inferno9–10.3717%4 Oct →
rush_0018–7-0.0636%4 Oct →
mirage9–13-0.0632%3 Oct →
anubis13–100.0111%3 Oct →
rush_0016–8-0.160%3 Oct →
rush_0016–8-0.068%2 Oct →
mirage11–13-0.029%2 Oct →
nuke8–13-0.047%2 Oct →
office12–12-0.0513%2 Oct →
rush_0012–6-0.0967%2 Oct →
rush_0016–20.2233%1 Oct →
vertigo11–13-0.0015%1 Oct →
nuke13–7-0.0110%1 Oct →
dust213–50.0030%1 Oct →
inferno7–13-0.046%30 Sept →
dust28–13-0.0814%30 Sept →
cache13–5-0.018%30 Sept →
inferno13–11-0.027%29 Sept →
mirage8–13-0.0515%29 Sept →
dust211–130.0317%28 Sept →
anubis8–13-0.0412%28 Sept →
nuke13–8-0.0419%28 Sept →
inferno12–12-0.0311%27 Sept →
ancient13–80.0210%27 Sept →
anubis13–50.0716%27 Sept →
ancient13–8-0.028%26 Sept →
nuke13–90.0315%26 Sept →
cache13–6-0.0213%26 Sept →
vertigo11–13-0.1010%26 Sept →
train12–12-0.0425%26 Sept →
overpass6–13-0.0622%26 Sept →
ancient11–13-0.029%26 Sept →
mirage9–13-0.065%26 Sept →
anubis13–10-0.048%26 Sept →
vertigo5–13-0.0429%26 Sept →
office13–5-0.035%25 Sept →
nuke9–13-0.0217%25 Sept →
dust213–10-0.0216%25 Sept →
inferno4–13-0.0415%24 Sept →
anubis13–7-0.0213%24 Sept →
inferno3–13-0.0427%22 Sept →
ancient11–13-0.018%22 Sept →
ancient13–6-0.0116%22 Sept →
nuke13–6-0.0422%21 Sept →
cache6–13-0.0211%21 Sept →
ancient12–16-0.049%21 Sept →
vertigo13–6-0.0520%19 Sept →
vertigo4–13-0.0513%18 Sept →
anubis10–13-0.1233%17 Sept →
nuke13–7-0.0410%17 Sept →
anubis10–13-0.072%17 Sept →
overpass13–100.0216%16 Sept →
ancient10–13-0.0314%16 Sept →
nuke10–13-0.0311%16 Sept →
inferno13–11-0.0315%15 Sept →
nuke11–130.0221%15 Sept →
cache3–13-0.038%14 Sept →
inferno8–130.0013%14 Sept →
cache11–130.0316%14 Sept →
inferno4–130.0332%13 Sept →
dust213–90.0332%13 Sept →
nuke3–9-0.1017%13 Sept →
overpass13–100.0826%11 Sept →
train13–80.0244%11 Sept →
vertigo13–3-0.0829%11 Sept →
nuke8–8-0.0111%11 Sept →
nuke6–9-0.226%11 Sept →
inferno7–9-0.0417%11 Sept →
inferno3–9-0.0319%11 Sept →
anubis13–7-0.0313%10 Sept →
cache13–60.0522%10 Sept →
overpass10–13-0.0324%9 Sept →
nuke13–6-0.068%9 Sept →
cache9–13-0.0413%9 Sept →
nuke11–13-0.0122%9 Sept →
ancient4–13-0.0623%7 Sept →
inferno2–13-0.0624%7 Sept →
nuke13–100.0222%7 Sept →

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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