Pebble Taste Tester — CS2 Stats

US76561198214522632[U:1:254256904]Steam profile ↗VAC banned

1,605Tracked matches52%Win rate2020Tracked since

2,046Hours in CS16Hrs last 2 wks

CSDB Rating4.9 DevelopingPassive Rifler

Premier CS Rating16,601Purple band · top ~22% of ranked players (population est.)

CSDB Leaderboard#8214 of 13637 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning38

Utility56

0–100 skill scores via Leetify.

Recent form

HOT50–47–3Last 10050%Win rateWLWWLWWWLW

Last 10 vs previous 10: +50pp win rate · +0.06 avg rating

Player DNA

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

Aim6.6

Aggression3.7

Utility5.6

Positioning3.8

Opening Duels0.0

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 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 577ms 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

Aim6.6

Positioning3.8

Utility5.6

Mechanics5.0

Opening Duels0.1

Win Impact5.6

Composite 4.9/10 (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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time581ms−27ms

first ⅓ avg 608ms → last ⅓ avg 581ms

Headshot accuracy12.4%−1.3%

first ⅓ avg 13.8% → last ⅓ avg 12.4%

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

0.18Best rating — anubis 13–2

13–2Biggest win — anubis

5Longest win streak

7–4In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 67% over 9ancientWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	22	13–9	59%	0.04
dust2	C	21	9–12	43%	0.01
cache	A	20	11–9	55%	0.01
inferno	B	10	5–5	50%	0.02
anubis	S	9	6–3	67%	0.04
ancient	C	5	2–3	40%	-0.00
nuke	—	4	2–2	50%	0.03
office	—	3	1–2	33%	0.02
vertigo	—	2	1–1	50%	0.04
train	—	2	0–2	0%	0.02
boulder	—	1	0–1	0%	-0.00
italy	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,059Lifetime kills

1.00K/D

2,650Matches

46.5%Match win rate · Top 50% of tracked players

36.5%Headshot %

12.2%Shot accuracy · Top 50% of tracked players

5,821MVPs

1,099Hours (in match)

3,796Bombs planted

633Bombs defused

Most-used weapons

AK-4714,369

M4A4 / M4A1-S8,327

AWP4,695

MP92,267

Desert Eagle2,253

P2000 / USP-S2,182

Glock-181,670

MAC-101,468

P250850

P90728

Lifetime map wins

6,296dust2

3,484inferno

2,285nuke

1,367office

470vertigo

438train

98cbble

59italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.0%Headshot accuracy

38.6%Accuracy (enemy spotted)

42.6%Spray accuracy

72.5%Counter-strafing

10.5°Preaim

577msReaction time

31.2%T opening success

23.0%CT opening success

0.54Enemies flashed / flash

5.8%Flash assists

8.36HE damage / grenade

9.10Flashes / 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 12.013% — below the 15% mark we flag
Aim Training →
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 31.1604% — below the 40% mark we flag

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.

40% win rate across 5 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	13–8	0.07	19%	23 Aug →
dust2	8–13	-0.03	12%	23 Aug →
cache	13–7	0.00	23%	23 Aug →
vertigo	13–4	0.10	14%	23 Aug →
train	11–13	0.12	6%	23 Aug →
mirage	13–5	0.10	16%	23 Aug →
inferno	13–8	-0.00	21%	23 Aug →
anubis	13–5	0.04	17%	22 Aug →
cache	7–13	-0.02	7%	21 Aug →
inferno	13–8	0.07	18%	21 Aug →
office	9–13	-0.01	9%	21 Aug →
boulder	3–13	-0.00	7%	16 Aug →
italy	7–13	-0.02	5%	16 Aug →
train	8–13	-0.08	17%	16 Aug →
cache	1–13	-0.06	18%	16 Aug →
mirage	7–13	-0.07	9%	16 Aug →
dust2	13–7	-0.01	7%	16 Aug →
inferno	15–15	-0.03	3%	16 Aug →
mirage	13–10	0.12	10%	16 Aug →
mirage	7–13	-0.04	8%	16 Aug →
cache	11–10	-0.01	15%	15 Aug →
dust2	13–11	-0.02	7%	15 Aug →
mirage	13–7	0.02	8%	13 Aug →
cache	10–13	0.03	14%	9 Aug →
mirage	3–13	-0.11	10%	9 Aug →
cache	13–6	0.08	11%	9 Aug →
inferno	13–4	0.06	16%	9 Aug →
ancient	13–8	0.05	12%	9 Aug →
dust2	11–13	-0.05	16%	9 Aug →
inferno	4–13	-0.03	13%	9 Aug →
mirage	5–13	-0.01	13%	9 Aug →
cache	11–13	0.02	9%	9 Aug →
dust2	5–13	-0.03	21%	8 Aug →
dust2	13–7	0.03	16%	8 Aug →
anubis	7–13	0.04	6%	8 Aug →
dust2	13–9	0.01	8%	8 Aug →
inferno	15–15	0.06	19%	8 Aug →
mirage	13–9	0.11	8%	8 Aug →
cache	13–8	0.08	12%	8 Aug →
dust2	13–5	0.04	26%	8 Aug →
dust2	10–13	0.01	14%	7 Aug →
dust2	5–13	-0.03	10%	7 Aug →
mirage	13–4	0.10	11%	7 Aug →
inferno	7–13	0.04	20%	7 Aug →
anubis	13–9	0.01	7%	7 Aug →
mirage	13–5	0.09	11%	7 Aug →
mirage	13–10	0.05	13%	7 Aug →
dust2	9–13	-0.04	19%	7 Aug →
cache	7–13	-0.02	18%	6 Aug →
nuke	13–4	-0.01	12%	6 Aug →
cache	13–5	0.04	11%	6 Aug →
dust2	13–11	-0.01	2%	6 Aug →
mirage	16–14	0.12	12%	5 Aug →
anubis	6–13	-0.04	5%	4 Aug →
dust2	3–13	-0.04	5%	4 Aug →
inferno	4–13	-0.03	11%	4 Aug →
inferno	13–10	-0.02	8%	4 Aug →
cache	13–8	-0.06	13%	4 Aug →
cache	13–6	0.04	8%	4 Aug →
ancient	5–13	-0.08	17%	4 Aug →
ancient	11–13	-0.03	15%	4 Aug →
office	6–9	0.05	8%	3 Aug →
vertigo	3–13	-0.01	19%	3 Aug →
dust2	13–7	0.06	13%	3 Aug →
inferno	16–14	0.03	15%	3 Aug →
cache	9–13	0.04	20%	2 Aug →
dust2	13–16	0.16	14%	2 Aug →
anubis	13–9	0.02	14%	2 Aug →
nuke	6–13	0.04	18%	2 Aug →
ancient	13–9	0.02	11%	2 Aug →
anubis	13–2	0.18	9%	2 Aug →
dust2	12–16	-0.03	21%	2 Aug →
mirage	9–13	-0.00	19%	1 Aug →
cache	13–2	0.04	14%	1 Aug →
office	13–11	0.03	13%	30 Jul →
dust2	9–13	-0.06	11%	30 Jul →
nuke	10–13	0.07	18%	29 Jul →
mirage	13–10	0.10	13%	28 Jul →
anubis	9–13	-0.02	12%	28 Jul →
cache	15–15	0.09	16%	23 Jul →
mirage	13–3	0.04	10%	23 Jul →
mirage	9–13	-0.03	9%	18 Jul →
cache	13–10	-0.02	13%	18 Jul →
dust2	13–10	0.01	9%	18 Jul →
anubis	13–7	0.13	12%	18 Jul →
mirage	13–8	0.09	13%	16 Jul →
cache	13–6	0.05	18%	16 Jul →
dust2	8–13	0.04	14%	16 Jul →
cache	13–11	-0.00	12%	15 Jul →
anubis	13–4	0.04	16%	15 Jul →
dust2	16–12	0.08	17%	15 Jul →
mirage	6–13	0.04	23%	15 Jul →
dust2	10–13	0.01	14%	14 Jul →
mirage	6–13	0.00	19%	14 Jul →
ancient	7–13	0.04	11%	14 Jul →
mirage	13–7	0.03	12%	14 Jul →
cache	9–13	-0.05	9%	14 Jul →
mirage	10–13	0.01	12%	13 Jul →
nuke	16–12	0.03	6%	12 Jul →
cache	12–16	-0.02	16%	12 Jul →