joopie — CS2 Stats

76561198292230428[U:1:331964700]Steam profile ↗✓ No bans

499Tracked matches43%Win rate2022Tracked since

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating17,487Purple band · top ~18.5% of ranked players (population est.)

CSDB Leaderboard#17033 of 32055 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning59

Utility46

0–100 skill scores via Leetify.

Recent form

COLD48–52Last 10048%Win rateLLLWLLWLLL

Last 10 vs previous 10: -40pp win rate · -0.05 avg rating

Player DNA

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

Aim8.1

Aggression8.2

Utility4.6

Positioning5.9

Opening Duels4.0

Clutch2.8

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 ropz 92% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 568ms 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

Aim8.1

Positioning5.9

Utility4.6

Mechanics8.2

Opening Duels4.0

Win Impact2.8

Composite 6.2/10 (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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time558ms−93ms

first ⅓ avg 651ms → last ⅓ avg 558ms

Headshot accuracy21.3%−7.1%

first ⅓ avg 28.4% → last ⅓ avg 21.3%

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 — mirage 13–5

13–1Biggest win — ancient

4Longest win streak

L3Current streak

10–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 62% over 13ancientWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	15–14	52%	0.04
dust2	A	20	12–8	60%	0.03
nuke	C	20	8–12	40%	0.02
inferno	A	13	8–5	62%	0.05
ancient	C	11	4–7	36%	0.03
cache	—	4	1–3	25%	-0.00
anubis	—	3	0–3	0%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

76Matches

46%Win rate

1.36Avg K/D

95.3ADR

55%Headshot %

Clutches & streaks

34%1v1 clutch win

34%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	25	48%	1.38	17.4
Dust2	16	69%	1.47	20.5
Nuke	13	46%	1.30	19.7
Inferno	5	80%	1.94	20.8
Ancient	5	0%	1.33	19.8
Anubis	3	0%	1.08	16.7
Cache	2	0%	1.03	23.5

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.

21.5%Headshot accuracy

35.8%Accuracy (enemy spotted)

40.1%Spray accuracy

86.9%Counter-strafing

10.6°Preaim

568msReaction time

41.9%T opening success

50.3%CT opening success

0.48Enemies flashed / flash

4.5%Flash assists

6.92HE damage / grenade

7.62Flashes / 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.

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 0.4787 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	10–13	0.05	26%	29 Aug →
dust2	10–13	0.04	27%	29 Aug →
mirage	10–13	-0.03	20%	27 Aug →
mirage	13–4	-0.07	12%	27 Aug →
nuke	5–13	0.01	15%	27 Aug →
mirage	11–13	0.05	18%	27 Aug →
dust2	13–10	0.07	22%	22 Aug →
nuke	9–13	0.00	17%	22 Aug →
nuke	10–13	0.01	22%	18 Aug →
dust2	5–13	0.00	35%	18 Aug →
mirage	13–9	0.03	28%	16 Aug →
nuke	14–16	0.13	22%	16 Aug →
ancient	13–11	0.11	21%	16 Aug →
ancient	6–13	0.03	17%	15 Aug →
inferno	13–8	0.11	21%	15 Aug →
mirage	11–13	0.02	20%	15 Aug →
dust2	16–12	0.09	16%	15 Aug →
dust2	13–9	0.08	23%	15 Aug →
cache	13–16	0.06	18%	14 Aug →
dust2	13–4	0.01	18%	14 Aug →
inferno	10–13	0.05	31%	14 Aug →
inferno	13–10	0.11	21%	14 Aug →
mirage	16–14	0.10	18%	14 Aug →
dust2	9–13	-0.03	23%	14 Aug →
nuke	10–13	-0.03	15%	14 Aug →
dust2	13–9	0.05	24%	13 Aug →
cache	16–19	-0.02	29%	13 Aug →
inferno	13–8	0.03	21%	10 Aug →
dust2	4–13	-0.06	22%	10 Aug →
dust2	13–9	-0.04	20%	10 Aug →
ancient	8–13	0.02	23%	10 Aug →
anubis	11–13	0.00	15%	10 Aug →
mirage	13–8	0.02	24%	10 Aug →
nuke	7–13	-0.03	20%	9 Aug →
mirage	13–7	0.07	20%	9 Aug →
mirage	13–5	0.17	19%	8 Aug →
mirage	9–13	-0.03	26%	8 Aug →
cache	11–13	-0.05	30%	8 Aug →
mirage	12–16	0.02	21%	7 Aug →
inferno	13–4	0.10	22%	7 Aug →
ancient	13–7	0.05	13%	7 Aug →
nuke	13–7	0.02	24%	5 Aug →
dust2	11–13	-0.05	25%	5 Aug →
mirage	5–13	-0.06	30%	5 Aug →
mirage	13–7	0.07	35%	5 Aug →
mirage	8–13	-0.01	15%	5 Aug →
nuke	7–13	-0.06	24%	5 Aug →
dust2	4–13	0.05	25%	5 Aug →
mirage	13–5	0.06	32%	5 Aug →
mirage	13–10	0.14	28%	4 Aug →
nuke	22–19	0.05	24%	4 Aug →
mirage	8–13	0.01	8%	4 Aug →
nuke	0–3	-0.04	100%	4 Aug →
ancient	4–13	-0.02	22%	4 Aug →
inferno	8–13	0.03	29%	3 Aug →
nuke	13–10	0.11	34%	3 Aug →
ancient	13–1	0.15	34%	3 Aug →
mirage	13–9	0.03	22%	3 Aug →
mirage	9–13	0.02	23%	3 Aug →
nuke	13–3	-0.02	21%	3 Aug →
cache	16–14	-0.00	15%	3 Aug →
inferno	13–11	0.05	33%	2 Aug →
anubis	10–13	0.09	28%	2 Aug →
inferno	13–11	0.10	20%	2 Aug →
mirage	13–11	-0.00	22%	2 Aug →
ancient	11–13	-0.02	18%	2 Aug →
nuke	13–11	-0.02	28%	2 Aug →
nuke	13–7	-0.01	28%	1 Aug →
dust2	13–8	0.05	31%	1 Aug →
inferno	13–3	0.04	28%	1 Aug →
ancient	4–13	-0.02	44%	1 Aug →
mirage	6–13	0.05	32%	1 Aug →
inferno	13–16	-0.01	27%	1 Aug →
nuke	9–13	0.02	45%	1 Aug →
mirage	14–16	0.06	25%	1 Aug →
dust2	13–9	0.00	24%	28 Jul →
dust2	13–9	0.03	34%	28 Jul →
dust2	4–13	0.02	33%	27 Jul →
dust2	13–11	0.05	21%	27 Jul →
mirage	13–3	0.11	22%	27 Jul →
mirage	10–13	0.00	19%	25 Jul →
inferno	3–13	0.01	22%	25 Jul →
anubis	4–13	0.04	43%	25 Jul →
mirage	13–7	0.08	21%	25 Jul →
ancient	2–13	0.02	43%	25 Jul →
nuke	13–6	0.10	30%	25 Jul →
nuke	4–13	0.03	25%	25 Jul →
nuke	11–13	0.07	29%	25 Jul →
mirage	13–7	0.02	32%	25 Jul →
inferno	13–10	0.04	32%	25 Jul →
dust2	2–13	0.01	24%	24 Jul →
mirage	13–11	0.07	40%	23 Jul →
dust2	13–9	0.09	19%	21 Jul →
mirage	10–13	0.09	32%	20 Jul →
nuke	5–13	0.01	17%	20 Jul →
nuke	16–14	0.05	29%	19 Jul →
ancient	7–13	0.03	16%	19 Jul →
dust2	13–9	0.07	25%	19 Jul →
ancient	13–8	-0.00	36%	19 Jul →
inferno	1–13	0.01	7%	19 Jul →