panini press — CS2 Stats

US76561198099080621[U:1:138814893]Steam profile ↗✓ No bans

618Tracked matches41%Win rate2024Tracked since

CSDB Rating4.6 DevelopingHybrid Rifler

Premier CS Rating9,891Light Blue band · top ~55.4% of ranked players (population est.)

CSDB Leaderboard#43223 of 60002 tracked

WingmanSilver Elite Master

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning52

Utility27

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLWLLWWLWWL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

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

Aim6.7

Aggression6.4

Utility2.7

Positioning5.2

Opening Duels2.7

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 b1t 85% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 654ms 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

Aim6.7

Positioning5.2

Utility2.7

Mechanics8.1

Opening Duels2.7

Win Impact2.1

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.04

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time657ms+12ms

first ⅓ avg 646ms → last ⅓ avg 657ms

Headshot accuracy11.6%+2.2%

first ⅓ avg 9.4% → last ⅓ avg 11.6%

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 — anubis 13–4

13–3Biggest win — ancient

5Longest win streak

11–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 62% over 13infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	27	15–12	56%	0.02
ancient	B	24	13–11	54%	0.03
mirage	A	18	10–8	56%	0.02
anubis	A	13	8–5	62%	0.05
inferno	D	5	1–4	20%	0.02
overpass	A	5	3–2	60%	0.03
cache	—	4	0–4	0%	0.02
dust2	—	3	2–1	67%	0.09
vertigo	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.6%Headshot accuracy

41.2%Accuracy (enemy spotted)

44.7%Spray accuracy

86.3%Counter-strafing

12.6°Preaim

654msReaction time

32.8%T opening success

49.1%CT opening success

0.35Enemies flashed / flash

3.7%Flash assists

3.72HE damage / grenade

9.57Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.5925° — above the 12° mark we flag
Aim Training →
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 11.6202% — below the 15% mark we flag
Aim Training →
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 0.3526 — 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.

20% win rate across 5 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
ancient	10–13	0.01	17%	31 Aug →
nuke	13–7	0.06	8%	29 Aug →
mirage	7–13	-0.06	9%	10 Aug →
cache	10–13	0.06	17%	10 Aug →
ancient	13–3	0.10	13%	5 Aug →
ancient	13–9	0.02	5%	5 Aug →
anubis	6–13	-0.02	4%	3 Aug →
ancient	13–8	-0.05	12%	30 Jul →
nuke	13–5	0.00	11%	30 Jul →
nuke	1–13	-0.09	11%	29 Jul →
mirage	13–11	-0.03	8%	29 Jul →
ancient	13–11	-0.05	6%	28 Jul →
mirage	13–7	0.12	15%	27 Jul →
nuke	11–13	-0.07	14%	27 Jul →
nuke	10–13	0.03	16%	26 Jul →
cache	10–13	0.07	12%	26 Jul →
ancient	13–6	0.11	8%	26 Jul →
nuke	8–13	-0.02	15%	23 Jul →
ancient	9–13	-0.02	16%	23 Jul →
ancient	4–13	0.01	19%	22 Jul →
ancient	9–13	-0.07	11%	21 Jul →
nuke	8–13	0.01	19%	20 Jul →
ancient	6–13	0.02	16%	18 Jul →
mirage	13–11	0.06	11%	18 Jul →
anubis	13–4	0.17	12%	17 Jul →
nuke	13–5	0.04	13%	13 Jul →
anubis	8–13	-0.05	0%	13 Jul →
mirage	6–13	-0.04	12%	12 Jul →
cache	3–13	-0.03	9%	12 Jul →
mirage	15–15	0.01	10%	12 Jul →
anubis	9–13	-0.04	10%	12 Jul →
ancient	13–11	0.01	13%	12 Jul →
ancient	11–13	0.02	10%	11 Jul →
ancient	13–9	0.03	8%	11 Jul →
nuke	13–10	-0.01	8%	11 Jul →
mirage	13–4	0.01	12%	10 Jul →
nuke	13–6	0.06	21%	9 Jul →
vertigo	5–13	-0.03	16%	7 Jul →
inferno	13–10	-0.03	18%	6 Jul →
ancient	13–11	0.06	10%	6 Jul →
mirage	13–8	0.02	21%	5 Jul →
nuke	13–4	-0.05	3%	5 Jul →
nuke	16–13	0.01	12%	4 Jul →
nuke	7–13	0.03	14%	4 Jul →
overpass	13–6	-0.04	23%	3 Jul →
anubis	16–14	0.02	11%	3 Jul →
mirage	6–13	0.04	15%	3 Jul →
nuke	13–8	0.03	8%	29 Jun →
ancient	4–13	-0.01	26%	27 Jun →
nuke	13–5	0.05	10%	27 Jun →
ancient	13–11	0.08	14%	27 Jun →
ancient	5–13	0.04	6%	25 Jun →
nuke	15–15	0.04	6%	25 Jun →
dust2	10–13	0.06	13%	22 Jun →
anubis	1–13	0.02	10%	22 Jun →
overpass	13–6	0.15	5%	18 Jun →
overpass	6–13	0.01	12%	18 Jun →
dust2	13–5	0.06	7%	18 Jun →
mirage	13–11	0.15	8%	14 Jun →
anubis	13–4	0.09	11%	14 Jun →
ancient	13–7	0.05	10%	14 Jun →
nuke	13–7	0.02	3%	14 Jun →
nuke	3–13	-0.04	11%	3 Jun →
anubis	13–8	0.04	14%	3 Jun →
mirage	13–8	0.03	7%	2 Jun →
mirage	13–5	-0.00	7%	1 Jun →
nuke	10–13	0.01	5%	1 Jun →
mirage	11–13	0.01	6%	29 May →
nuke	8–13	0.01	5%	27 May →
mirage	13–9	0.06	13%	25 May →
mirage	13–10	0.02	3%	22 May →
nuke	6–13	0.03	10%	22 May →
inferno	8–13	0.16	13%	21 May →
ancient	13–9	0.08	2%	21 May →
overpass	11–13	0.05	10%	15 May →
dust2	13–11	0.14	5%	15 May →
mirage	9–13	-0.01	5%	15 May →
anubis	13–3	0.11	7%	15 May →
nuke	11–13	-0.02	19%	15 May →
nuke	13–4	0.12	16%	14 May →
ancient	13–9	0.03	8%	14 May →
nuke	13–5	0.09	13%	14 May →
ancient	9–13	0.12	10%	12 May →
anubis	13–6	0.10	3%	12 May →
ancient	13–11	0.03	10%	7 May →
mirage	9–13	0.06	3%	7 May →
cache	6–13	-0.03	24%	6 May →
inferno	8–13	0.05	13%	6 May →
mirage	6–13	-0.03	6%	6 May →
ancient	7–13	0.01	5%	6 May →
inferno	6–13	-0.03	4%	5 May →
anubis	13–5	0.13	9%	2 May →
nuke	13–9	0.04	16%	27 Apr →
overpass	13–4	-0.02	8%	25 Apr →
ancient	7–13	0.01	5%	25 Apr →
inferno	7–13	-0.04	13%	24 Apr →
anubis	6–13	0.04	8%	20 Apr →
anubis	13–8	0.08	15%	20 Apr →
nuke	13–7	0.01	18%	18 Apr →
nuke	16–14	0.04	7%	18 Apr →