pookie ookie wookie dookie bear — CS2 Stats

76561198411065843[U:1:450800115]

1,732Tracked matches71%Win rate2023Tracked since

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating16,712Purple band · top ~21.6% of ranked players (population est.)

CSDB Leaderboard#15857 of 27850 tracked

FaceitLevel 5 · 1,057 ELOTop 67.6% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning63

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateWLWLTTWWWW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.2

Aggression8.9

Utility7.3

Positioning6.3

Opening Duels4.0

Clutch2.8

Strong CT-side openerEffective flashes

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 jL 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 56% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Aim6.2

Positioning6.3

Utility7.3

Mechanics6.1

Opening Duels4.0

Win Impact10.0

Composite 6.5/10 (Solid), 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 rating0.03+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.03

Reaction time584ms+19ms

first ⅓ avg 565ms → last ⅓ avg 584ms

Headshot accuracy15.7%+2.3%

first ⅓ avg 13.3% → last ⅓ avg 15.7%

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.

Highlights

0.15Best rating — anubis 13–4

13–0Biggest win — cache

8Longest win streak

4–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 90% over 10infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	28	17–11	61%	0.01
ancient	A	16	10–6	63%	0.01
cache	B	14	7–7	50%	0.04
dust2	A	13	8–5	62%	0.04
anubis	S	10	9–1	90%	0.03
nuke	D	9	3–6	33%	0.01
inferno	D	7	1–6	14%	-0.09
train	—	2	0–2	0%	-0.03
debris	—	1	0–1	0%	-0.17

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

113Matches

50%Win rate

1.10Avg K/D

87.5ADR

37%Headshot %

Clutches & streaks

34%1v1 clutch win

25%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	35	60%	1.09	15.3
Anubis	21	43%	1.17	17.9
Dust2	17	53%	1.12	13.2
Inferno	15	27%	0.90	15.5
Ancient	14	50%	1.29	18.9
Nuke	7	43%	1.18	18.6
Train	2	100%	0.51	8.0
Overpass	1	0%	0.72	13.0

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.

16.4%Headshot accuracy

33.3%Accuracy (enemy spotted)

33.3%Spray accuracy

77.5%Counter-strafing

9.6°Preaim

582msReaction time

35.6%T opening success

56.1%CT opening success

0.74Enemies flashed / flash

4.3%Flash assists

15.23HE damage / grenade

9.48Flashes / 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 35.6395% — below the 40% mark we flag

Spend your practice time on Inferno

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–10	0.02	14%	29 Aug →
cache	9–13	-0.04	21%	29 Aug →
ancient	13–9	0.04	8%	29 Aug →
mirage	10–13	-0.04	17%	29 Aug →
mirage	15–15	-0.02	18%	29 Aug →
dust2	15–15	0.05	17%	29 Aug →
cache	13–1	0.05	12%	28 Aug →
anubis	13–10	-0.05	10%	28 Aug →
mirage	13–7	0.01	15%	28 Aug →
mirage	13–7	0.09	29%	28 Aug →
cache	9–13	0.07	18%	28 Aug →
anubis	13–6	0.06	8%	28 Aug →
anubis	13–4	0.15	14%	28 Aug →
dust2	13–11	0.06	18%	28 Aug →
ancient	6–13	0.00	18%	28 Aug →
nuke	9–6	-0.04	4%	28 Aug →
mirage	13–8	0.08	23%	27 Aug →
cache	13–0	0.11	16%	27 Aug →
ancient	13–11	-0.03	15%	27 Aug →
mirage	13–1	-0.04	24%	27 Aug →
mirage	16–13	-0.02	13%	27 Aug →
ancient	13–4	0.03	14%	27 Aug →
mirage	8–13	-0.01	14%	27 Aug →
dust2	13–4	0.05	17%	27 Aug →
cache	3–13	0.06	16%	27 Aug →
anubis	16–13	-0.00	16%	26 Aug →
anubis	13–6	0.00	22%	26 Aug →
dust2	13–7	-0.00	14%	26 Aug →
cache	13–9	0.06	17%	26 Aug →
mirage	11–13	0.10	19%	26 Aug →
cache	9–13	-0.03	19%	26 Aug →
ancient	14–16	0.05	10%	26 Aug →
mirage	13–1	0.03	9%	26 Aug →
dust2	13–5	0.05	25%	25 Aug →
mirage	13–16	-0.06	11%	25 Aug →
cache	8–13	0.05	14%	25 Aug →
ancient	7–13	0.00	28%	25 Aug →
anubis	13–10	0.04	21%	25 Aug →
debris	1–9	-0.17	7%	24 Aug →
inferno	0–9	-0.23	9%	24 Aug →
inferno	4–9	-0.09	19%	24 Aug →
mirage	6–13	-0.01	15%	22 Aug →
anubis	13–6	0.07	19%	22 Aug →
mirage	13–9	0.02	21%	22 Aug →
mirage	13–5	0.03	14%	22 Aug →
ancient	6–13	0.03	13%	22 Aug →
mirage	13–11	-0.01	7%	21 Aug →
ancient	13–4	0.02	13%	21 Aug →
mirage	10–13	-0.04	20%	20 Aug →
inferno	11–13	-0.09	5%	20 Aug →
dust2	13–2	0.05	15%	20 Aug →
anubis	13–9	0.03	19%	20 Aug →
mirage	13–8	0.01	5%	20 Aug →
mirage	11–13	0.07	9%	20 Aug →
mirage	13–5	0.09	16%	20 Aug →
nuke	13–10	-0.03	8%	19 Aug →
dust2	12–12	-0.07	22%	19 Aug →
dust2	13–8	0.09	18%	19 Aug →
ancient	13–10	0.00	13%	19 Aug →
cache	13–7	0.03	25%	19 Aug →
dust2	13–7	0.08	13%	19 Aug →
cache	13–7	0.12	14%	19 Aug →
inferno	13–3	-0.04	15%	19 Aug →
mirage	13–0	0.00	11%	18 Aug →
cache	13–8	0.09	24%	18 Aug →
nuke	11–13	0.02	15%	18 Aug →
ancient	13–6	-0.05	15%	18 Aug →
cache	7–13	-0.04	7%	17 Aug →
nuke	11–13	-0.03	11%	17 Aug →
ancient	8–13	-0.02	10%	17 Aug →
dust2	13–10	0.08	17%	17 Aug →
inferno	5–9	-0.13	10%	17 Aug →
nuke	10–13	0.07	18%	16 Aug →
cache	13–5	0.06	11%	15 Aug →
nuke	11–13	0.01	9%	15 Aug →
anubis	16–13	-0.02	18%	15 Aug →
ancient	13–8	0.02	16%	15 Aug →
mirage	7–13	0.02	14%	15 Aug →
ancient	13–10	0.08	20%	14 Aug →
nuke	13–7	0.08	12%	14 Aug →
mirage	10–13	-0.03	10%	14 Aug →
dust2	8–13	0.01	16%	14 Aug →
mirage	3–13	-0.12	2%	14 Aug →
inferno	3–13	-0.05	19%	13 Aug →
dust2	14–16	0.05	11%	12 Aug →
mirage	13–6	-0.04	24%	12 Aug →
inferno	14–16	-0.03	13%	12 Aug →
ancient	13–8	-0.02	7%	12 Aug →
train	7–13	-0.05	16%	11 Aug →
dust2	12–12	0.02	27%	11 Aug →
nuke	8–13	0.04	11%	11 Aug →
ancient	8–13	-0.04	9%	10 Aug →
mirage	13–11	0.10	11%	10 Aug →
nuke	3–13	0.02	11%	9 Aug →
ancient	13–6	0.01	11%	9 Aug →
cache	10–13	0.00	17%	9 Aug →
train	11–13	-0.01	19%	9 Aug →
mirage	13–2	0.02	9%	8 Aug →
anubis	7–13	-0.03	10%	8 Aug →
mirage	13–4	0.04	12%	8 Aug →