DooshCanoe69 — CS2 Stats

76561198213643563[U:1:253377835]

272Tracked matches47%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating21,362Top 50% of 17,162 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning64

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateLLWLWLWLWW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.7

Aggression8.3

Utility4.8

Positioning6.4

Opening Duels4.0

Clutch4.0

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.

Your pro match

Plays most like donk 91% playstyle similarity

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

Where you differ: 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 57% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim7.7

Positioning6.4

Utility4.8

Mechanics7.2

Opening Duels4.0

Win Impact3.9

Composite 6.3/10 (Solid), 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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time598ms−18ms

first ⅓ avg 616ms → last ⅓ avg 598ms

Headshot accuracy25.4%+6.0%

first ⅓ avg 19.4% → last ⅓ avg 25.4%

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 — cache 2–0

13–2Biggest win — dust2

3Longest win streak

L2Current streak

10–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 71% over 17nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	14–17	45%	0.02
cache	B	20	9–11	45%	0.02
mirage	S	17	12–5	71%	0.03
inferno	B	14	7–7	50%	0.02
ancient	B	11	5–6	45%	0.03
nuke	D	7	2–5	29%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches

56%Win rate

1.47Avg K/D

99.4ADR

55%Headshot %

Clutches & streaks

40%1v1 clutch win

50%1v2 clutch win

2Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	2	50%	0.96	21.5
Cache	2	50%	1.21	25.5
Mirage	1	100%	2.40	24.0
Nuke	1	100%	2.00	18.0
Anubis	1	100%	2.08	25.0
Ancient	1	0%	1.80	27.0

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.

24.3%Headshot accuracy

35.3%Accuracy (enemy spotted)

34.7%Spray accuracy

82.6%Counter-strafing

9.6°Preaim

600msReaction time

34.7%T opening success

57.2%CT opening success

0.60Enemies flashed / flash

5.1%Flash assists

10.81HE damage / grenade

4.61Flashes / 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.

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 34.7209% — 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.

29% win rate across 7 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
cache	17–19	0.08	29%	21 Aug →
ancient	5–13	0.01	22%	17 Aug →
inferno	13–5	0.10	31%	14 Aug →
nuke	8–13	-0.08	17%	14 Aug →
mirage	13–9	0.03	28%	13 Aug →
mirage	8–13	-0.00	18%	8 Aug →
inferno	16–14	0.06	20%	6 Aug →
cache	14–16	-0.01	18%	5 Aug →
dust2	13–8	0.06	17%	4 Aug →
ancient	13–11	0.08	33%	4 Aug →
mirage	13–9	0.06	16%	3 Aug →
cache	14–16	0.02	35%	3 Aug →
mirage	13–11	0.07	19%	2 Aug →
mirage	9–13	0.00	24%	2 Aug →
ancient	8–13	0.02	32%	1 Aug →
nuke	10–13	-0.04	20%	1 Aug →
cache	7–13	-0.06	18%	1 Aug →
inferno	5–13	-0.00	22%	1 Aug →
cache	13–8	0.01	40%	1 Aug →
dust2	13–4	0.03	23%	1 Aug →
mirage	6–13	-0.02	19%	1 Aug →
cache	2–0	0.17	60%	1 Aug →
ancient	13–11	0.00	31%	31 Jul →
dust2	9–13	0.02	16%	31 Jul →
dust2	13–2	0.05	32%	25 Jul →
nuke	13–9	0.05	24%	24 Jul →
ancient	9–13	-0.04	13%	24 Jul →
mirage	13–8	-0.03	21%	24 Jul →
dust2	6–13	-0.02	28%	24 Jul →
inferno	1–13	-0.03	38%	24 Jul →
dust2	7–13	-0.00	30%	24 Jul →
cache	10–13	0.04	19%	24 Jul →
dust2	16–14	0.05	27%	23 Jul →
nuke	13–7	0.07	19%	23 Jul →
cache	3–13	-0.10	0%	22 Jul →
dust2	4–13	-0.01	23%	22 Jul →
mirage	13–7	0.06	28%	22 Jul →
inferno	8–13	-0.05	26%	22 Jul →
inferno	13–9	-0.02	23%	22 Jul →
ancient	13–10	0.01	10%	22 Jul →
dust2	8–13	0.01	24%	22 Jul →
mirage	13–9	0.02	28%	20 Jul →
dust2	13–2	0.08	14%	19 Jul →
cache	13–10	-0.02	23%	19 Jul →
cache	9–13	0.03	9%	18 Jul →
dust2	4–13	-0.02	19%	18 Jul →
mirage	13–6	0.03	27%	18 Jul →
dust2	13–9	0.07	22%	18 Jul →
dust2	11–13	-0.01	24%	17 Jul →
cache	13–7	0.01	6%	17 Jul →
inferno	13–2	0.00	28%	17 Jul →
dust2	14–16	0.08	18%	17 Jul →
mirage	10–13	-0.04	21%	16 Jul →
cache	8–13	0.06	21%	16 Jul →
cache	13–10	0.06	17%	16 Jul →
cache	13–11	-0.02	21%	16 Jul →
mirage	13–10	-0.05	14%	16 Jul →
cache	11–13	-0.01	14%	16 Jul →
dust2	9–13	0.04	12%	16 Jul →
mirage	13–6	0.10	21%	16 Jul →
cache	7–13	0.08	18%	16 Jul →
ancient	14–16	0.02	8%	16 Jul →
inferno	13–8	-0.03	16%	15 Jul →
dust2	5–13	0.08	16%	15 Jul →
ancient	10–13	0.01	15%	15 Jul →
dust2	13–2	0.05	12%	14 Jul →
ancient	11–13	0.10	26%	14 Jul →
nuke	3–13	-0.06	14%	14 Jul →
dust2	13–10	-0.01	27%	14 Jul →
cache	13–7	0.03	20%	14 Jul →
dust2	7–13	-0.05	12%	14 Jul →
dust2	8–13	0.04	9%	14 Jul →
dust2	13–9	0.02	29%	11 Jul →
cache	13–8	0.05	15%	11 Jul →
dust2	10–13	0.04	12%	11 Jul →
mirage	13–7	0.03	13%	11 Jul →
dust2	16–12	0.11	18%	11 Jul →
dust2	6–13	0.06	20%	10 Jul →
ancient	13–5	0.05	16%	10 Jul →
inferno	8–13	-0.02	24%	10 Jul →
cache	11–13	0.03	19%	10 Jul →
cache	13–11	0.00	18%	9 Jul →
dust2	13–5	0.06	20%	3 Jul →
dust2	1–13	-0.04	29%	3 Jul →
inferno	13–11	0.12	25%	2 Jul →
nuke	10–13	-0.06	28%	2 Jul →
dust2	16–14	0.04	22%	2 Jul →
mirage	13–8	0.12	23%	2 Jul →
inferno	11–13	0.00	16%	2 Jul →
inferno	12–16	0.02	21%	27 Jun →
dust2	13–10	-0.06	9%	27 Jun →
dust2	13–8	-0.00	22%	27 Jun →
mirage	13–5	-0.01	24%	24 Jun →
dust2	10–13	-0.02	26%	24 Jun →
dust2	1–13	-0.06	9%	22 Jun →
mirage	8–13	0.09	16%	22 Jun →
nuke	12–16	0.02	21%	21 Jun →
inferno	11–13	0.11	36%	21 Jun →
inferno	13–8	0.04	21%	21 Jun →
ancient	13–2	0.10	6%	21 Jun →