pibble — CS2 Stats

76561198202892874[U:1:242627146]

195Tracked matches52%Win rate2020Tracked since

562Hours in CS

CSDB Rating5.9 SolidHybrid Rifler

WingmanMaster Guardian I

Ladder ranks via Leetify

Performance scores

Aim68

Positioning64

Utility35

0–100 skill scores via Leetify.

Recent form

COLD44–47–9Last 10044%Win rateLLLTWLLWLL

Last 10 vs previous 10: -50pp win rate · -0.04 avg rating

Player DNA

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

Aim6.8

Aggression8.8

Utility3.5

Positioning6.4

Opening Duels4.7

Strong CT-side opener

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 86% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher opening-fight frequency; 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

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

T-side openings. Opening success drops from 57% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim6.8

Positioning6.4

Utility3.5

Mechanics7.0

Opening Duels4.7

Win Impact5.6

Composite 5.9/10 (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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time589ms−49ms

first ⅓ avg 637ms → last ⅓ avg 589ms

Headshot accuracy20.0%−1.3%

first ⅓ avg 21.4% → last ⅓ avg 20.0%

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

0.26Best rating — overpass 9–2

13–0Biggest win — train

6Longest win streak

L3Current streak

8–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

wardenBest map · 60% over 5infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	12	7–5	58%	0.00
mirage	C	10	4–6	40%	0.02
overpass	B	10	5–5	50%	0.01
nuke	C	10	4–6	40%	-0.00
ancient	A	9	5–4	56%	0.02
cache	C	9	4–5	44%	0.03
inferno	D	7	1–6	14%	-0.04
anubis	B	6	3–3	50%	0.01
alpine	D	6	2–4	33%	0.00
office	D	5	1–4	20%	-0.01
warden	A	5	3–2	60%	0.00
vertigo	—	4	2–2	50%	0.02
stronghold	—	3	0–3	0%	-0.03
italy	—	2	1–1	50%	-0.02
train	—	2	2–0	100%	0.02

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.

Lifetime stats

29,503Lifetime kills

0.96K/D

1,712Matches

39.2%Match win rate

38.7%Headshot %

16.0%Shot accuracy · Top 25% of tracked players

3,264MVPs

562Hours (in match)

1,318Bombs planted

270Bombs defused

Most-used weapons

AK-477,807

M4A4 / M4A1-S4,168

AWP2,877

Desert Eagle1,749

P2000 / USP-S1,649

SSG 081,317

Galil AR826

Glock-18765

P90734

AUG595

Lifetime map wins

1,868inferno

1,450dust2

954nuke

737vertigo

381train

310office

151lake

117safehouse

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.

19.2%Headshot accuracy

33.7%Accuracy (enemy spotted)

35.2%Spray accuracy

81.6%Counter-strafing

10.6°Preaim

581msReaction time

40.5%T opening success

57.2%CT opening success

0.36Enemies flashed / flash

3.3%Flash assists

5.35HE damage / grenade

8.53Flashes / 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 0.3615 — below the 0.5 mark we flag
Grenade Lineups →

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
stronghold	1–13	0.04	24%	31 May →
italy	9–13	-0.04	24%	31 May →
anubis	7–13	-0.04	14%	31 May →
ancient	12–12	-0.02	25%	25 May →
inferno	11–3	-0.07	12%	25 May →
cache	11–13	0.04	4%	25 May →
mirage	8–13	-0.05	15%	25 May →
dust2	13–9	0.06	27%	24 May →
inferno	4–13	-0.13	24%	18 May →
mirage	0–13	0.02	21%	18 May →
office	11–13	0.01	14%	16 May →
cache	13–6	0.08	16%	16 May →
dust2	13–8	0.01	17%	16 May →
vertigo	13–4	0.09	21%	14 May →
cache	12–12	-0.02	18%	13 May →
overpass	7–13	-0.00	20%	13 May →
cache	13–6	0.02	15%	13 May →
anubis	13–5	-0.04	9%	13 May →
warden	13–11	0.06	21%	13 May →
nuke	13–5	0.00	20%	13 May →
alpine	13–11	0.00	17%	13 May →
train	13–0	0.02	23%	13 May →
office	6–13	-0.04	20%	13 May →
cache	13–3	-0.00	16%	13 May →
cache	11–13	0.03	18%	11 May →
dust2	0–8	-0.05	36%	11 May →
cache	12–12	0.10	20%	11 May →
cache	1–13	-0.04	38%	11 May →
cache	13–2	0.07	30%	3 May →
office	13–4	0.09	17%	19 Apr →
italy	13–11	0.01	25%	19 Apr →
alpine	11–13	0.00	23%	19 Apr →
vertigo	12–12	0.01	16%	19 Apr →
mirage	13–10	0.12	23%	19 Apr →
vertigo	13–6	0.04	30%	18 Apr →
alpine	13–7	0.01	19%	18 Apr →
warden	6–13	-0.01	23%	18 Apr →
train	13–8	0.02	24%	18 Apr →
anubis	8–13	0.00	26%	18 Apr →
ancient	13–9	0.10	26%	18 Apr →
warden	4–13	-0.05	12%	16 Apr →
alpine	8–13	-0.03	28%	16 Apr →
inferno	9–13	-0.02	27%	16 Apr →
office	1–13	-0.04	40%	14 Apr →
alpine	12–12	0.08	29%	14 Apr →
warden	13–10	0.00	11%	14 Apr →
stronghold	0–3	-0.10	0%	14 Apr →
dust2	6–13	-0.02	15%	12 Apr →
overpass	13–10	0.03	14%	12 Apr →
overpass	13–7	0.03	16%	12 Apr →
dust2	8–13	0.00	29%	12 Apr →
alpine	9–13	-0.03	24%	12 Apr →
warden	13–11	0.01	0%	12 Apr →
nuke	13–9	-0.01	24%	12 Apr →
mirage	12–12	0.03	23%	12 Apr →
dust2	2–7	-0.00	13%	12 Apr →
dust2	13–10	0.04	15%	6 Apr →
inferno	8–13	-0.04	5%	6 Apr →
overpass	13–6	-0.03	6%	6 Apr →
nuke	4–13	-0.10	32%	6 Apr →
anubis	13–3	0.12	20%	6 Apr →
anubis	16–12	0.06	18%	3 Apr →
ancient	16–13	0.00	18%	2 Apr →
dust2	8–13	0.05	20%	29 Mar →
mirage	1–13	-0.10	13%	29 Mar →
mirage	13–9	0.05	15%	25 Mar →
nuke	13–11	0.03	18%	25 Mar →
ancient	3–13	-0.08	21%	22 Mar →
overpass	8–3	-0.00	10%	22 Mar →
mirage	13–7	0.01	22%	21 Mar →
inferno	7–13	-0.02	14%	14 Mar →
mirage	11–13	-0.03	24%	14 Mar →
nuke	14–16	0.04	19%	14 Mar →
stronghold	4–13	-0.03	30%	22 Feb →
ancient	13–10	0.02	22%	22 Feb →
mirage	15–15	0.05	22%	21 Feb →
inferno	14–16	-0.00	25%	21 Feb →
overpass	4–13	-0.02	17%	14 Feb →
anubis	5–13	-0.04	23%	14 Feb →
dust2	13–0	0.07	17%	14 Feb →
nuke	15–15	-0.02	19%	11 Jan →
nuke	7–13	-0.02	10%	26 Dec →
office	1–13	-0.09	50%	14 Dec →
ancient	10–13	0.02	16%	14 Dec →
nuke	11–13	0.02	26%	14 Dec →
overpass	9–2	0.26	25%	14 Dec →
ancient	13–6	0.10	19%	8 Dec →
dust2	13–9	-0.03	26%	8 Dec →
inferno	8–13	0.02	25%	19 Nov →
overpass	8–13	-0.04	19%	19 Nov →
ancient	13–7	0.00	23%	16 Aug →
mirage	13–11	0.05	23%	16 Aug →
vertigo	3–9	-0.07	32%	16 Aug →
nuke	9–13	-0.02	29%	15 Aug →
ancient	5–13	0.00	23%	15 Aug →
overpass	15–15	-0.07	15%	10 Aug →
overpass	1–8	-0.07	14%	8 Aug →
dust2	13–11	-0.03	21%	2 Aug →
nuke	13–9	0.05	14%	19 Jul →
dust2	13–11	-0.02	13%	19 Jul →