Quentin Tarantino

Quentin Tarantino — CS2 Stats

PK76561199471861851[U:1:1511596123]Steam profile ↗✓ No bans

792Tracked matches31%Win rate2025Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating23,570Top 25% of 175,286 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#32534 of 220235 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 12 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 23,570 -4,010 12 Jun16 Sept · 27 days played
22,42528,588peak 28,58812 Jun16 Sept
Faceit ELO: 1,670 +0 1 Sept7 Sept · 2 observations
1,6701,670peak 1,6701 Sept7 Sept
28,963Peak Premier in tracked matches
1,670Highest Faceit ELO seen on CSDB
34Days played since 2026-06-12

Faceit ELO

  • At peak — 1,670
  • Next: Level 9 at 1,751 81 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-01
  • Level 7 first seen 2026-09-01

Premier CS Rating

  • 5,018 below peak (28,588)
  • -941 over 30 days · declining
  • -4,729 over 90 days
  • Next: Red band at 25,000 1,430 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGQuentin TarantinoPREMIER23,570 · Pink bandPEAK ELO1,670csdb.gg/stats

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Performance scores

Aim89
Positioning44
Utility64

0–100 skill scores via Leetify.

Recent form

COLD50464Last 10050%Win rateLLWTLWLWLL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +1.4pp headshot accuracy · +25ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 131 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 425ms

Last 10

  • 361 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 474ms

Last 20

  • 4151 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 462ms

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: SupportUtility contribution stands above the rest of this profile (+2 against its own average).

Aim8.9
Utility6.4
Positioning4.4
Opening Duels2.0
Clutch4.8

Sharp aimer

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

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 45 points — deaths here waste a strong aim profile.

Counter-strafing. Only 64% 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

Aim8.9
Positioning4.4
Utility6.4
Mechanics3.2
Opening Duels2.2
Win Impact0.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time475ms−54ms
first ⅓ avg 528ms → last ⅓ avg 475ms
Headshot accuracy23.7%−7.1%
first ⅓ avg 30.8% → last ⅓ avg 23.7%

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

0.25Best match rating · 13–8 · train, 19 Jun
60%Best headshot accuracy · 0–7 · inferno, 24 Jun
281msFastest reaction time · 1–13 · dust2, 17 Aug
13–3Biggest win · dust2, 12 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
85In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 67% over 15cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC1971237%0.01
infernoA169756%0.03
ancientS1510567%0.05
dust2B158753%0.02
anubisC94544%0.05
cacheD62433%0.00
nukeB63350%0.08
trainS64267%0.11
office41325%0.06
vertigo21150%0.14
overpass21150%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

98Matches
74%Win rate
1.43Avg K/D
95.8ADR
45%Headshot %

Clutches & streaks

44%1v1 clutch win
18%1v2 clutch win
17Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust24176%1.4716.8
Mirage3278%1.5618.6
Ancient1479%1.5420.6
Anubis450%0.9517.0
Inferno475%0.609.3
Train250%0.8010.0
Nuke10%0.8315.0

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.

23.1%Headshot accuracy
43.2%Accuracy (enemy spotted)
43.2%Spray accuracy
64.2%Counter-strafing
8.7°Preaim
469msReaction time
43.5%T opening success
34.2%CT opening success
0.63Enemies flashed / flash
7.7%Flash assists
8.76HE damage / grenade
10.04Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.2418% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage14–160.0925%16 Sept
anubis8–13-0.0318%16 Sept
anubis13–50.0619%16 Sept
office12–120.1524%2 Sept
office7–13-0.0026%2 Sept
mirage13–5-0.0225%2 Sept
ancient3–13-0.0242%28 Aug
dust216–14-0.0311%28 Aug
cache9–130.0530%28 Aug
cache11–130.0119%26 Aug
nuke8–13-0.0017%25 Aug
anubis10–130.0712%22 Aug
dust29–130.0115%21 Aug
inferno4–90.2132%18 Aug
ancient13–160.0935%18 Aug
train13–110.0215%18 Aug
train7–13-0.0129%17 Aug
mirage8–13-0.0827%17 Aug
dust21–13-0.0411%17 Aug
cache0–13-0.0433%17 Aug
inferno13–50.0150%15 Aug
mirage8–13-0.0123%15 Aug
mirage13–4-0.0510%15 Aug
dust27–130.0029%15 Aug
anubis7–13-0.0034%15 Aug
dust22–13-0.0411%13 Aug
cache7–1-0.0010%13 Aug
mirage13–40.0235%13 Aug
train3–130.0516%12 Aug
dust213–3-0.1013%12 Aug
ancient5–13-0.0023%8 Aug
inferno13–70.0928%8 Aug
ancient13–90.0434%8 Aug
mirage15–150.0423%8 Aug
dust213–50.0837%8 Aug
dust213–80.0936%8 Aug
inferno13–80.0434%8 Aug
dust213–70.0356%7 Aug
mirage13–160.0729%5 Aug
anubis13–50.0344%5 Aug
vertigo13–100.0830%29 Jul
mirage13–110.0823%28 Jul
anubis13–110.1125%28 Jul
inferno13–50.0925%26 Jul
cache0–13-0.030%26 Jul
anubis13–100.1634%26 Jul
mirage13–40.1133%26 Jul
nuke7–130.0626%25 Jul
ancient13–60.1320%25 Jul
ancient13–70.0618%25 Jul
dust28–13-0.0331%25 Jul
ancient9–130.0130%25 Jul
nuke13–30.1439%25 Jul
ancient13–60.0721%19 Jul
nuke5–130.1029%19 Jul
inferno0–4-0.0525%11 Jul
mirage4–130.0426%11 Jul
nuke13–100.0845%11 Jul
cache13–40.0217%11 Jul
inferno13–50.0434%10 Jul
dust213–90.1450%10 Jul
mirage11–130.0758%10 Jul
inferno13–50.0728%10 Jul
dust211–130.0031%10 Jul
office13–50.0632%8 Jul
office11–130.0438%8 Jul
anubis0–110.0354%30 Jun
inferno13–110.0232%30 Jun
inferno5–00.1456%30 Jun
mirage3–130.0736%26 Jun
dust213–40.0756%26 Jun
ancient13–90.0255%26 Jun
mirage0–13-0.0621%25 Jun
ancient13–60.1334%25 Jun
mirage2–13-0.0147%25 Jun
overpass13–11-0.0456%25 Jun
inferno9–130.0123%25 Jun
inferno0–7-0.0760%24 Jun
dust213–50.1629%24 Jun
mirage13–100.0822%24 Jun
ancient12–160.0518%23 Jun
mirage3–13-0.1111%23 Jun
mirage10–13-0.0615%22 Jun
inferno0–9-0.0629%22 Jun
overpass3–7-0.038%22 Jun
mirage4–0-0.0517%22 Jun
train13–60.2445%21 Jun
ancient13–110.0120%21 Jun
dust29–13-0.0724%21 Jun
vertigo8–80.1935%19 Jun
nuke9–50.0830%19 Jun
inferno8–8-0.0428%19 Jun
train13–80.2539%19 Jun
train13–110.0938%17 Jun
ancient7–30.0426%15 Jun
ancient13–30.1026%15 Jun
inferno5–13-0.036%15 Jun
anubis3–130.0125%12 Jun
ancient13–4-0.0128%12 Jun
inferno13–5-0.0124%12 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →