DooR — CS2 Stats

US76561197960555873[U:1:290145]Steam profile ↗✓ No bans

1,484Tracked matches57%Win rate2020Tracked since

CSDB Rating6.0 SolidSupport

Premier CS Rating25,563Top 25% of 819 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

CSDB Leaderboard#2538 of 21866 tracked

FaceitLevel 10 · 2,214 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning39

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY60–39–1Last 10060%Win rateWLWLLWLWLW

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim7.2

Aggression2.7

Utility7.1

Positioning3.9

Opening Duels0.0

Clutch3.6

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

Plays most like NiKo 82% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

Aim7.2

Positioning3.9

Utility7.1

Mechanics6.7

Opening Duels0.0

Win Impact7.2

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time533ms−66ms

first ⅓ avg 599ms → last ⅓ avg 533ms

Headshot accuracy11.5%−3.1%

first ⅓ avg 14.6% → last ⅓ avg 11.5%

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 13–5

13–1Biggest win — inferno

6Longest win streak

11–11In matches decided by ≤2 rounds

15Overtime games

Map breakdown

infernoBest map · 75% over 24nukeWeakest map · 45% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	26	19–7	73%	0.01
inferno	S	24	18–6	75%	0.03
nuke	B	20	9–11	45%	-0.00
mirage	B	15	7–8	47%	0.02
cache	B	6	3–3	50%	0.02
ancient	—	3	1–2	33%	-0.00
anubis	—	3	0–3	0%	-0.00
overpass	—	3	3–0	100%	0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (45% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

937Matches

56%Win rate

1.30Avg K/D

76.1ADR

36%Headshot %

Clutches & streaks

38%1v1 clutch win

25%1v2 clutch win

20Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	183	60%	1.17	14.6
Nuke	163	52%	1.22	16.8
Mirage	140	54%	1.31	15.3
Dust2	94	56%	1.09	14.7
Ancient	51	35%	0.94	12.4
Overpass	35	63%	1.39	16.7
Anubis	35	23%	1.00	15.6
Vertigo	8	62%	0.96	15.0

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.

11.2%Headshot accuracy

39.5%Accuracy (enemy spotted)

40.6%Spray accuracy

80.3%Counter-strafing

10.9°Preaim

537msReaction time

28.4%T opening success

24.5%CT opening success

0.64Enemies flashed / flash

7.3%Flash assists

14.72HE damage / grenade

12.87Flashes / 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.

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 11.1836% — below the 15% mark we flag
Aim Training →
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 28.4381% — below the 40% mark we flag

Spend your practice time on Nuke

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

45% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	0.05	5%	28 Aug →
dust2	8–13	0.02	4%	26 Aug →
nuke	13–8	0.08	5%	26 Aug →
cache	5–13	-0.05	5%	26 Aug →
ancient	14–16	-0.04	8%	22 Aug →
dust2	13–10	0.02	14%	22 Aug →
mirage	2–13	0.00	21%	21 Aug →
inferno	13–1	0.04	20%	21 Aug →
nuke	11–13	-0.05	16%	21 Aug →
dust2	13–10	0.03	15%	21 Aug →
dust2	13–4	-0.06	7%	19 Aug →
nuke	13–6	-0.06	8%	16 Aug →
mirage	13–10	0.07	7%	15 Aug →
dust2	16–14	-0.00	9%	14 Aug →
dust2	10–13	-0.08	12%	14 Aug →
dust2	13–11	0.00	1%	14 Aug →
dust2	13–5	0.04	25%	12 Aug →
nuke	10–13	-0.05	20%	12 Aug →
nuke	10–13	-0.08	7%	12 Aug →
dust2	10–13	0.01	20%	11 Aug →
mirage	13–10	-0.04	11%	11 Aug →
inferno	19–16	0.01	12%	10 Aug →
ancient	8–13	0.03	4%	9 Aug →
anubis	11–13	0.08	6%	8 Aug →
mirage	13–10	0.07	21%	8 Aug →
nuke	11–13	0.04	11%	7 Aug →
cache	13–9	0.04	16%	7 Aug →
mirage	8–13	0.03	12%	6 Aug →
inferno	13–6	0.04	8%	5 Aug →
inferno	13–11	-0.01	11%	5 Aug →
inferno	12–12	0.04	16%	4 Aug →
inferno	9–13	0.01	7%	4 Aug →
nuke	17–19	0.02	14%	4 Aug →
dust2	13–11	-0.01	15%	4 Aug →
inferno	13–5	0.02	14%	31 Jul →
nuke	13–9	-0.04	17%	31 Jul →
dust2	13–7	0.08	7%	30 Jul →
dust2	6–13	-0.01	20%	29 Jul →
inferno	13–1	0.06	10%	29 Jul →
inferno	13–7	-0.01	10%	29 Jul →
mirage	9–13	-0.01	27%	28 Jul →
anubis	6–13	-0.08	2%	26 Jul →
dust2	13–9	-0.01	19%	24 Jul →
inferno	13–9	-0.01	13%	24 Jul →
mirage	13–4	0.02	29%	23 Jul →
inferno	13–3	0.06	19%	22 Jul →
anubis	10–13	-0.02	8%	22 Jul →
mirage	13–9	0.06	25%	15 Jul →
cache	6–13	0.06	17%	15 Jul →
dust2	8–13	-0.02	15%	15 Jul →
dust2	13–11	0.02	11%	11 Jul →
inferno	13–10	0.08	12%	10 Jul →
nuke	19–16	0.01	15%	10 Jul →
dust2	13–6	0.07	0%	10 Jul →
dust2	13–2	0.03	16%	9 Jul →
inferno	13–6	0.03	13%	2 Jul →
nuke	14–16	-0.05	9%	2 Jul →
nuke	22–25	0.00	12%	28 Jun →
dust2	16–13	-0.00	12%	25 Jun →
overpass	13–7	0.03	16%	19 Jun →
inferno	16–14	-0.01	22%	14 Jun →
mirage	10–13	0.07	9%	5 Jun →
inferno	11–13	-0.01	14%	3 Jun →
nuke	16–14	0.03	17%	3 Jun →
inferno	8–13	-0.01	11%	3 Jun →
mirage	8–13	0.03	11%	29 May →
nuke	13–8	0.03	9%	29 May →
nuke	16–13	0.00	13%	27 May →
inferno	13–10	0.04	22%	27 May →
inferno	13–6	0.07	2%	26 May →
mirage	13–10	-0.04	19%	26 May →
mirage	8–13	0.01	8%	22 May →
dust2	13–11	0.01	10%	19 May →
dust2	13–8	0.04	17%	15 May →
cache	13–1	0.06	22%	13 May →
inferno	13–4	0.09	11%	13 May →
dust2	13–8	0.09	28%	13 May →
inferno	10–13	0.08	7%	12 May →
cache	5–13	0.03	18%	12 May →
nuke	16–14	0.02	17%	8 May →
overpass	13–6	0.06	21%	7 May →
inferno	13–5	0.13	23%	6 May →
dust2	14–16	-0.03	16%	6 May →
cache	13–7	-0.02	17%	5 May →
inferno	13–4	0.04	19%	24 Apr →
inferno	13–11	-0.00	5%	24 Apr →
dust2	13–10	-0.00	11%	22 Apr →
mirage	10–13	-0.03	7%	22 Apr →
dust2	16–14	0.03	12%	20 Apr →
nuke	9–13	-0.03	6%	15 Apr →
nuke	6–13	0.00	10%	15 Apr →
mirage	13–9	0.05	10%	15 Apr →
nuke	17–19	0.02	12%	10 Apr →
mirage	11–13	-0.00	13%	10 Apr →
inferno	11–13	-0.05	12%	8 Apr →
nuke	13–8	0.02	18%	8 Apr →
overpass	13–8	0.11	12%	12 Mar →
nuke	8–13	-0.01	13%	6 Mar →
ancient	13–4	-0.00	10%	6 Mar →
dust2	4–13	-0.05	41%	27 Feb →