Pimple — CS2 Stats

76561199796550628[U:1:1836284900]

2,262Tracked matches35%Win rate2024Tracked since

CSDB Rating4.2 Developing

Premier CS Rating15,170Purple band · top ~27.7% of ranked players (population est.)

CSDB Leaderboard#32962 of 55619 tracked

FaceitLevel 3 · 880 ELOTop 90.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning45

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateWWTWLLWLLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim5.0

Aggression5.3

Utility4.4

Positioning4.5

Opening Duels1.3

Clutch4.8

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 NiKo 80% playstyle similarity

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

Where you differ: lower utility contribution; 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

Reaction time. 651ms 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

Aim5.0

Positioning4.5

Utility4.4

Mechanics6.9

Opening Duels1.3

Win Impact0.0

Composite 4.2/10 (Developing), 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 rating-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time654ms+15ms

first ⅓ avg 639ms → last ⅓ avg 654ms

Headshot accuracy14.3%+1.7%

first ⅓ avg 12.6% → last ⅓ avg 14.3%

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

0.15Best rating — ancient 13–9

13–3Biggest win — nuke

7Longest win streak

W2Current streak

8–4In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 67% over 18mirageWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	25	13–12	52%	0.01
nuke	S	18	12–6	67%	-0.00
ancient	C	18	7–11	39%	0.01
dust2	C	14	5–9	36%	-0.01
mirage	D	8	2–6	25%	-0.01
cache	A	7	4–3	57%	-0.03
anubis	D	6	2–4	33%	-0.03
vertigo	—	2	1–1	50%	-0.02
train	—	1	1–0	100%	0.06
overpass	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

276Matches

48%Win rate

1.00Avg K/D

80.2ADR

35%Headshot %

Clutches & streaks

44%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	75	64%	1.13	17.2
Inferno	67	52%	1.06	16.2
Ancient	49	33%	0.88	14.7
Mirage	34	38%	0.98	14.5
Dust2	29	41%	0.80	14.1
Overpass	14	50%	0.99	14.1
Train	8	25%	0.72	11.1

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.

14.0%Headshot accuracy

33.4%Accuracy (enemy spotted)

34.1%Spray accuracy

81.2%Counter-strafing

11.3°Preaim

651msReaction time

35.4%T opening success

35.3%CT opening success

0.52Enemies flashed / flash

7.2%Flash assists

11.24HE damage / grenade

2.60Flashes / 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 14.0448% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.6013 — below the 4 mark we flag
Grenade Lineups →
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 35.3647% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	13–8	0.06	15%	30 Aug →
overpass	13–4	0.08	10%	30 Aug →
mirage	15–15	-0.00	14%	30 Aug →
nuke	13–5	0.09	6%	30 Aug →
mirage	14–16	0.00	12%	30 Aug →
cache	11–13	-0.08	10%	30 Aug →
cache	13–10	-0.01	10%	30 Aug →
nuke	4–13	-0.08	20%	30 Aug →
inferno	4–13	-0.04	12%	30 Aug →
mirage	6–13	-0.06	12%	30 Aug →
dust2	4–13	-0.06	8%	30 Aug →
ancient	3–13	-0.04	13%	30 Aug →
inferno	15–15	-0.02	13%	30 Aug →
dust2	8–13	0.03	28%	29 Aug →
inferno	15–15	-0.02	16%	29 Aug →
cache	13–11	-0.01	12%	29 Aug →
anubis	4–13	-0.09	15%	29 Aug →
ancient	4–13	-0.04	12%	27 Aug →
inferno	13–11	0.03	22%	27 Aug →
dust2	15–15	-0.05	14%	27 Aug →
inferno	6–13	-0.02	10%	26 Aug →
dust2	7–13	-0.01	22%	26 Aug →
dust2	6–13	-0.09	16%	26 Aug →
nuke	13–4	0.05	30%	25 Aug →
ancient	8–13	-0.03	18%	25 Aug →
nuke	13–8	-0.02	6%	25 Aug →
inferno	6–13	0.05	21%	25 Aug →
ancient	16–13	0.03	10%	24 Aug →
inferno	5–13	-0.06	0%	23 Aug →
cache	6–13	0.00	12%	23 Aug →
cache	13–6	-0.08	30%	23 Aug →
inferno	13–9	0.03	15%	23 Aug →
mirage	13–16	-0.00	10%	23 Aug →
ancient	13–10	0.04	14%	23 Aug →
dust2	13–11	0.02	16%	23 Aug →
ancient	6–13	0.09	13%	23 Aug →
nuke	13–10	-0.04	13%	22 Aug →
inferno	13–9	0.06	14%	22 Aug →
inferno	16–14	-0.02	11%	22 Aug →
dust2	16–13	-0.01	8%	22 Aug →
anubis	0–13	-0.05	50%	22 Aug →
ancient	13–8	0.01	15%	22 Aug →
inferno	8–13	0.00	23%	22 Aug →
ancient	7–13	-0.05	10%	22 Aug →
anubis	10–13	0.06	21%	22 Aug →
mirage	13–10	-0.01	13%	22 Aug →
inferno	13–5	0.01	20%	22 Aug →
ancient	8–13	0.02	20%	21 Aug →
ancient	13–9	0.15	9%	21 Aug →
nuke	13–9	0.04	8%	21 Aug →
vertigo	5–13	-0.11	0%	21 Aug →
inferno	8–8	-0.05	33%	21 Aug →
dust2	13–5	0.04	22%	21 Aug →
nuke	13–6	0.01	10%	20 Aug →
inferno	13–6	0.01	18%	20 Aug →
cache	13–8	0.01	16%	20 Aug →
vertigo	13–8	0.08	9%	20 Aug →
dust2	13–9	-0.02	16%	20 Aug →
inferno	13–7	-0.02	13%	19 Aug →
ancient	12–16	0.01	4%	19 Aug →
nuke	8–13	-0.04	22%	18 Aug →
nuke	13–5	-0.02	10%	18 Aug →
inferno	13–11	0.02	22%	18 Aug →
inferno	10–13	0.03	19%	18 Aug →
anubis	13–6	0.01	13%	18 Aug →
inferno	6–13	-0.04	23%	17 Aug →
nuke	13–7	-0.06	22%	16 Aug →
dust2	9–13	-0.05	14%	16 Aug →
inferno	13–4	-0.02	17%	16 Aug →
cache	2–7	-0.04	12%	16 Aug →
mirage	9–13	0.01	4%	16 Aug →
dust2	6–13	-0.04	22%	16 Aug →
nuke	9–13	-0.07	6%	16 Aug →
ancient	13–9	0.09	3%	16 Aug →
ancient	7–13	0.01	14%	16 Aug →
inferno	9–3	0.10	18%	16 Aug →
nuke	13–3	0.08	19%	15 Aug →
inferno	13–8	-0.02	19%	15 Aug →
anubis	13–9	-0.02	16%	15 Aug →
dust2	6–13	0.00	13%	15 Aug →
inferno	3–13	0.01	13%	15 Aug →
nuke	13–11	0.00	16%	15 Aug →
mirage	7–13	-0.06	13%	14 Aug →
ancient	11–13	0.05	13%	14 Aug →
nuke	10–13	0.01	15%	14 Aug →
inferno	13–7	0.09	15%	14 Aug →
anubis	3–13	-0.06	11%	14 Aug →
nuke	16–13	0.01	19%	14 Aug →
ancient	13–7	0.01	13%	13 Aug →
dust2	13–8	0.01	9%	13 Aug →
ancient	7–13	-0.02	12%	13 Aug →
nuke	6–13	0.00	16%	13 Aug →
ancient	14–16	-0.11	12%	13 Aug →
inferno	15–15	-0.01	12%	13 Aug →
mirage	13–3	0.07	6%	13 Aug →
dust2	6–13	0.06	8%	13 Aug →
nuke	13–11	-0.06	5%	13 Aug →
ancient	13–5	0.00	4%	13 Aug →
nuke	10–13	0.01	15%	12 Aug →
inferno	13–11	0.06	13%	12 Aug →