penny — CS2 Stats

76561199230119375[U:1:1269853647]Steam profile ↗✓ No bans

242Tracked matches60%Win rate2026Tracked since

238Hours in CS5Hrs last 2 wks

CSDB Rating6.1 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim69

Positioning57

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLWWLWWLLWW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim6.9

Aggression6.7

Utility4.6

Positioning5.7

Opening Duels2.2

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 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Reaction time. 677ms 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

Aim6.9

Positioning5.7

Utility4.6

Mechanics7.7

Opening Duels2.2

Win Impact8.3

Composite 6.1/10 (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+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time670ms−63ms

first ⅓ avg 733ms → last ⅓ avg 670ms

Headshot accuracy24.9%−3.1%

first ⅓ avg 28.0% → last ⅓ avg 24.9%

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 10–13

13–1Biggest win — mirage

7Longest win streak

5–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 67% over 9anubisWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	19	11–8	58%	0.02
ancient	A	18	11–7	61%	-0.01
cache	B	15	7–8	47%	0.02
nuke	C	12	5–7	42%	-0.00
inferno	S	9	6–3	67%	0.01
anubis	C	8	3–5	38%	-0.00
dust2	B	6	3–3	50%	0.01
office	A	5	3–2	60%	0.00
vertigo	—	2	1–1	50%	0.08
shelter	—	1	1–0	100%	0.07
fachwerk	—	1	1–0	100%	-0.05
boulder	—	1	0–1	0%	0.01
alpine	—	1	0–1	0%	-0.01
overpass	—	1	0–1	0%	-0.05
italy	—	1	0–1	0%	-0.14

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,925Lifetime kills

1.20K/D · Top 25% of tracked players

356Matches

39.6%Match win rate

61.2%Headshot % · Top 5% of tracked players

0.0%Shot accuracy

648MVPs

166Hours (in match)

165Bombs planted

95Bombs defused

Most-used weapons

AK-472,318

M4A4 / M4A1-S1,192

AWP906

Desert Eagle899

XM1014289

P2000 / USP-S224

Galil AR172

Glock-18135

MP791

SG 55370

Lifetime map wins

431nuke

355inferno

300dust2

205office

100vertigo

7italy

6train

1ar_shoots

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.

25.8%Headshot accuracy

34.8%Accuracy (enemy spotted)

32.1%Spray accuracy

84.5%Counter-strafing

10.6°Preaim

677msReaction time

41.3%T opening success

36.1%CT opening success

0.38Enemies flashed / flash

6.4%Flash assists

5.98HE damage / grenade

8.96Flashes / 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 0.3762 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 36.088% — 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.

38% win rate across 8 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
ancient	11–13	-0.03	26%	24 Aug →
ancient	13–10	-0.01	20%	24 Aug →
ancient	13–9	-0.02	32%	22 Aug →
dust2	1–13	-0.01	14%	20 Aug →
mirage	13–4	0.02	20%	20 Aug →
vertigo	13–3	0.09	13%	20 Aug →
cache	7–13	-0.00	20%	18 Aug →
cache	11–13	0.03	46%	18 Aug →
ancient	13–9	0.02	35%	14 Aug →
mirage	13–9	0.03	28%	13 Aug →
mirage	13–9	0.01	29%	13 Aug →
mirage	9–13	0.12	20%	12 Aug →
inferno	16–12	0.07	26%	12 Aug →
anubis	13–8	-0.01	10%	12 Aug →
ancient	13–6	-0.04	11%	12 Aug →
mirage	13–9	0.04	36%	12 Aug →
ancient	3–13	0.04	18%	12 Aug →
nuke	5–5	-0.06	0%	11 Aug →
cache	11–13	0.02	17%	11 Aug →
nuke	7–13	-0.04	30%	11 Aug →
cache	13–6	0.07	17%	11 Aug →
ancient	3–13	-0.04	36%	11 Aug →
office	13–2	-0.03	16%	10 Aug →
mirage	13–1	0.08	28%	10 Aug →
inferno	6–13	-0.07	25%	10 Aug →
mirage	13–10	0.07	33%	9 Aug →
inferno	13–5	0.12	30%	4 Aug →
mirage	13–6	-0.06	21%	4 Aug →
vertigo	11–13	0.06	48%	3 Aug →
office	5–13	-0.01	39%	3 Aug →
anubis	11–13	-0.02	21%	2 Aug →
office	13–9	-0.04	26%	28 Jul →
nuke	13–2	0.03	31%	28 Jul →
dust2	12–12	-0.02	35%	28 Jul →
cache	11–13	0.02	37%	27 Jul →
mirage	9–13	0.02	48%	27 Jul →
mirage	13–8	-0.06	20%	27 Jul →
cache	13–5	-0.04	29%	25 Jul →
mirage	7–13	0.02	19%	25 Jul →
dust2	13–8	0.00	41%	24 Jul →
anubis	10–13	0.02	33%	23 Jul →
ancient	13–9	-0.01	17%	23 Jul →
cache	10–11	0.07	48%	22 Jul →
ancient	13–7	0.02	42%	22 Jul →
ancient	2–13	-0.11	50%	19 Jul →
inferno	6–13	-0.07	32%	18 Jul →
mirage	10–13	0.17	42%	18 Jul →
inferno	12–12	0.00	29%	17 Jul →
shelter	13–11	0.07	29%	16 Jul →
ancient	13–10	0.08	27%	16 Jul →
ancient	4–13	-0.06	46%	15 Jul →
nuke	3–13	0.01	26%	15 Jul →
fachwerk	13–11	-0.05	19%	14 Jul →
mirage	6–13	-0.06	22%	14 Jul →
nuke	12–12	0.05	30%	14 Jul →
ancient	6–13	-0.00	28%	14 Jul →
anubis	13–2	0.08	24%	14 Jul →
mirage	13–7	0.08	44%	11 Jul →
boulder	9–13	0.01	28%	11 Jul →
cache	13–3	0.05	22%	11 Jul →
dust2	13–8	-0.01	27%	11 Jul →
ancient	13–7	-0.06	29%	10 Jul →
mirage	13–9	0.08	31%	7 Jul →
inferno	13–7	-0.05	18%	7 Jul →
cache	13–6	-0.01	40%	7 Jul →
nuke	13–7	0.03	33%	7 Jul →
alpine	9–13	-0.01	25%	6 Jul →
cache	1–13	-0.08	25%	6 Jul →
nuke	6–13	-0.01	32%	4 Jul →
cache	10–13	0.05	29%	4 Jul →
ancient	13–4	0.07	30%	4 Jul →
overpass	4–13	-0.05	31%	4 Jul →
ancient	1–13	-0.10	20%	3 Jul →
office	13–7	0.04	33%	3 Jul →
cache	13–8	0.03	46%	3 Jul →
inferno	13–9	0.03	46%	3 Jul →
italy	4–13	-0.14	44%	3 Jul →
office	6–13	0.05	38%	3 Jul →
dust2	7–13	-0.01	36%	2 Jul →
cache	13–6	0.02	19%	2 Jul →
nuke	3–13	0.03	39%	2 Jul →
mirage	5–13	-0.08	21%	1 Jul →
inferno	13–6	-0.01	29%	1 Jul →
dust2	13–1	0.10	18%	1 Jul →
ancient	13–9	0.01	33%	1 Jul →
nuke	3–13	-0.10	29%	1 Jul →
anubis	1–8	0.01	33%	30 Jun →
cache	2–13	0.01	16%	30 Jun →
anubis	8–13	-0.04	16%	30 Jun →
anubis	13–8	0.01	38%	30 Jun →
nuke	13–11	0.03	23%	29 Jun →
mirage	13–6	0.00	23%	29 Jun →
nuke	13–10	0.00	11%	29 Jun →
mirage	8–13	-0.01	37%	29 Jun →
cache	6–13	0.02	24%	29 Jun →
inferno	13–2	0.09	33%	29 Jun →
anubis	7–13	-0.05	27%	28 Jun →
mirage	3–13	-0.06	16%	28 Jun →
nuke	11–13	-0.02	14%	28 Jun →
ancient	13–3	0.07	15%	28 Jun →