CamsPopsicle — CS2 Stats

US76561198152507173[U:1:192241445]Steam profile ↗✓ No bans

471Tracked matches37%Win rate2021Tracked since

CSDB Rating3.9 Learning

Premier CS Rating14,884Blue band · top ~29% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning55

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWWLTLLWLTW

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

Player DNA

Aim4.6

Aggression6.9

Utility4.6

Positioning5.5

Opening Duels3.2

Clutch7.4

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.6

Positioning5.5

Utility4.6

Mechanics3.6

Opening Duels3.2

Win Impact0.6

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time595ms−68ms

first ⅓ avg 662ms → last ⅓ avg 595ms

Headshot accuracy19.4%+1.8%

first ⅓ avg 17.6% → last ⅓ avg 19.4%

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

0.23Best rating — overpass 8–8

13–2Biggest win — overpass

6Longest win streak

W2Current streak

5–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 64% over 11anubisWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	24	14–10	58%	0.04
mirage	A	14	8–6	57%	0.01
ancient	C	14	6–8	43%	0.02
cache	A	11	7–4	64%	0.01
anubis	D	9	1–8	11%	-0.03
dust2	A	7	4–3	57%	-0.01
inferno	D	7	1–6	14%	0.02
vertigo	D	6	2–4	33%	0.05
overpass	—	4	1–3	25%	0.08
train	—	2	1–1	50%	-0.01
office	—	2	1–1	50%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

26Matches

50%Win rate

0.92Avg K/D

69.7ADR

45%Headshot %

Clutches & streaks

57%1v1 clutch win

30%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Cache	6	50%	0.92	11.2
Dust2	5	80%	0.97	13.4
Mirage	4	0%	0.64	10.0
Anubis	3	67%	0.94	14.7
Inferno	3	67%	0.87	13.0
Ancient	2	0%	1.00	21.0
Nuke	2	100%	1.36	13.0
Vertigo	1	0%	0.81	22.0

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.

18.7%Headshot accuracy

33.4%Accuracy (enemy spotted)

31.3%Spray accuracy

66.1%Counter-strafing

11.7°Preaim

602msReaction time

29.7%T opening success

55.6%CT opening success

0.73Enemies flashed / flash

12.6%Flash assists

7.98HE damage / grenade

4.94Flashes / 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 29.697% — below the 40% mark we flag

Spend your practice time on Anubis

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–7	-0.08	10%	27 Aug →
nuke	9–6	0.07	20%	27 Aug →
vertigo	3–9	-0.06	18%	27 Aug →
overpass	8–8	0.23	24%	26 Aug →
mirage	9–13	-0.06	23%	26 Aug →
dust2	3–13	-0.10	12%	26 Aug →
cache	13–5	0.02	20%	26 Aug →
cache	6–13	-0.01	41%	25 Aug →
overpass	8–8	-0.01	39%	25 Aug →
vertigo	9–6	0.10	17%	25 Aug →
cache	16–13	-0.00	15%	23 Aug →
train	13–7	-0.00	11%	23 Aug →
anubis	0–13	-0.07	13%	22 Aug →
anubis	13–7	-0.02	22%	19 Aug →
ancient	11–13	-0.01	15%	19 Aug →
mirage	13–11	-0.00	15%	19 Aug →
cache	7–13	-0.05	11%	19 Aug →
ancient	13–3	0.05	24%	19 Aug →
nuke	13–11	0.00	13%	18 Aug →
nuke	6–11	-0.03	11%	18 Aug →
mirage	10–13	-0.06	21%	18 Aug →
anubis	3–13	-0.04	24%	16 Aug →
mirage	13–9	0.00	13%	16 Aug →
anubis	5–13	-0.06	8%	16 Aug →
nuke	13–10	0.09	16%	16 Aug →
anubis	4–13	0.01	26%	16 Aug →
dust2	3–13	0.02	35%	16 Aug →
cache	5–13	-0.00	36%	15 Aug →
anubis	3–13	-0.05	11%	15 Aug →
nuke	3–13	0.04	17%	15 Aug →
nuke	10–13	0.12	14%	15 Aug →
nuke	13–8	0.10	21%	15 Aug →
vertigo	2–13	-0.04	24%	15 Aug →
nuke	2–13	0.00	25%	15 Aug →
dust2	4–13	-0.08	16%	15 Aug →
cache	13–8	0.08	16%	15 Aug →
inferno	10–13	0.11	34%	15 Aug →
inferno	9–13	0.12	16%	15 Aug →
vertigo	13–10	0.16	21%	13 Aug →
overpass	13–2	0.08	23%	13 Aug →
mirage	15–15	-0.04	17%	12 Aug →
ancient	13–7	-0.04	23%	12 Aug →
mirage	13–8	-0.00	21%	12 Aug →
ancient	8–13	0.05	24%	12 Aug →
ancient	5–13	-0.02	16%	12 Aug →
ancient	8–13	0.04	13%	12 Aug →
nuke	13–8	-0.03	8%	12 Aug →
vertigo	12–12	0.12	23%	12 Aug →
inferno	4–5	-0.09	4%	11 Aug →
inferno	7–13	0.08	17%	11 Aug →
nuke	5–13	0.09	8%	11 Aug →
nuke	13–9	-0.03	17%	11 Aug →
office	13–2	0.02	16%	11 Aug →
vertigo	2–13	0.00	20%	11 Aug →
nuke	13–8	0.12	10%	11 Aug →
train	6–13	-0.02	14%	11 Aug →
mirage	5–13	-0.00	22%	11 Aug →
dust2	13–10	-0.01	16%	11 Aug →
ancient	6–13	-0.03	13%	10 Aug →
nuke	13–10	0.10	13%	10 Aug →
cache	13–3	0.00	18%	10 Aug →
nuke	13–10	0.00	14%	10 Aug →
cache	13–7	0.04	11%	10 Aug →
ancient	11–13	0.02	11%	10 Aug →
nuke	11–13	-0.06	20%	10 Aug →
cache	9–13	0.02	14%	10 Aug →
nuke	13–2	0.22	10%	10 Aug →
nuke	5–13	0.06	24%	9 Aug →
anubis	8–13	0.00	27%	8 Aug →
nuke	1–13	0.01	15%	8 Aug →
dust2	13–3	0.12	33%	8 Aug →
mirage	6–13	0.06	18%	8 Aug →
ancient	13–10	0.01	16%	8 Aug →
ancient	14–16	0.01	19%	8 Aug →
inferno	9–13	-0.06	15%	8 Aug →
dust2	13–10	0.03	18%	8 Aug →
mirage	14–16	-0.01	17%	8 Aug →
anubis	15–15	-0.04	18%	8 Aug →
inferno	5–13	-0.06	11%	8 Aug →
nuke	12–12	0.04	16%	8 Aug →
nuke	13–7	0.16	18%	8 Aug →
overpass	1–13	0.02	14%	8 Aug →
office	3–13	-0.08	21%	8 Aug →
cache	13–10	-0.00	21%	6 Aug →
mirage	13–9	0.00	10%	6 Aug →
inferno	7–13	0.07	11%	6 Aug →
nuke	13–8	-0.01	15%	6 Aug →
ancient	13–8	0.03	23%	6 Aug →
anubis	2–13	0.01	5%	6 Aug →
ancient	13–10	0.06	17%	6 Aug →
ancient	6–13	0.03	35%	6 Aug →
ancient	13–9	0.07	11%	5 Aug →
mirage	13–10	0.08	17%	5 Aug →
nuke	6–13	0.01	18%	5 Aug →
mirage	13–8	0.04	6%	5 Aug →
cache	16–14	-0.02	13%	5 Aug →
nuke	13–2	0.06	17%	5 Aug →
mirage	13–2	0.13	35%	4 Aug →
mirage	13–9	0.03	18%	4 Aug →
dust2	13–4	-0.04	10%	4 Aug →