panrea -igwt- — CS2 Stats

PL76561198063220959[U:1:102955231]Steam profile ↗

1,055Tracked matches62%Win rate2020Tracked since

3,071Hours in CS13Hrs last 2 wks

CSDB Rating7.3 StrongEntry Fragger

WingmanThe Global Elite

Ladder ranks via Leetify

Performance scores

Aim78

Positioning74

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateLLWWLLWLWW

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim7.8

Aggression10.0

Utility6.7

Positioning7.4

Opening Duels7.0

Clutch3.8

Strong CT-side openerEffective flashes

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 s1mple 95% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Strengths

CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 70% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim7.8

Positioning7.4

Utility6.7

Mechanics5.7

Opening Duels7.0

Win Impact9.0

Composite 7.3/10 (Strong), 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 rating0.04+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time591ms+30ms

first ⅓ avg 562ms → last ⅓ avg 591ms

Headshot accuracy22.4%+5.5%

first ⅓ avg 17.0% → last ⅓ avg 22.4%

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

0.39Best rating — inferno 9–0

13–1Biggest win — dust2

5Longest win streak

L2Current streak

2–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 67% over 12ancientWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	37	20–17	54%	0.04
anubis	A	16	9–7	56%	0.02
inferno	S	12	8–4	67%	0.06
dust2	A	11	7–4	64%	0.01
nuke	B	11	5–6	45%	0.03
ancient	C	5	2–3	40%	0.05
overpass	—	3	1–2	33%	-0.02
cache	—	2	1–1	50%	0.02
shelter	—	1	1–0	100%	0.09
boulder	—	1	1–0	100%	-0.04
poseidon	—	1	1–0	100%	0.01

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

218,565Lifetime kills

2.11K/D · Top 1% of tracked players

4,631Matches

37.2%Match win rate

62.9%Headshot % · Top 5% of tracked players

11.3%Shot accuracy

10,582MVPs

2,503Hours (in match)

3,835Bombs planted

1,570Bombs defused

Most-used weapons

AK-47128,857

M4A4 / M4A1-S22,813

AWP17,830

Desert Eagle12,016

P2000 / USP-S8,560

P2503,854

Glock-183,045

FAMAS2,730

MP72,378

Tec-92,194

Lifetime map wins

4,237inferno

2,220nuke

2,115dust2

792vertigo

552train

492cbble

159lake

108bank

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

Faceit stats

Combat

405Matches

56%Win rate

1.22Avg K/D

85.8ADR

41%Headshot %

Clutches & streaks

39%1v1 clutch win

33%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	103	62%	1.29	17.1
Anubis	53	66%	1.39	17.8
Dust2	35	40%	1.07	14.5
Ancient	30	57%	1.19	16.3
Inferno	28	64%	1.26	15.9
Vertigo	25	52%	1.18	15.6
Nuke	24	50%	1.29	18.0
Cache	1	100%	2.67	24.0

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.

21.8%Headshot accuracy

37.7%Accuracy (enemy spotted)

38.3%Spray accuracy

75.7%Counter-strafing

9.3°Preaim

586msReaction time

45.8%T opening success

70.2%CT opening success

0.71Enemies flashed / flash

6.9%Flash assists

9.88HE damage / grenade

10.74Flashes / match

Recommended for you

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	6–13	0.01	27%	25 Aug →
mirage	7–13	0.09	26%	14 Jul →
inferno	13–4	0.16	25%	13 Jul →
shelter	13–8	0.09	22%	13 Jul →
mirage	3–13	0.05	17%	13 Jul →
mirage	8–13	-0.04	28%	13 Jul →
boulder	13–2	-0.04	20%	11 Jul →
mirage	4–13	-0.04	29%	11 Jul →
dust2	13–6	0.06	22%	11 Jul →
mirage	13–6	0.13	27%	6 Jul →
mirage	3–13	-0.02	31%	6 Jul →
nuke	11–13	0.04	20%	6 Jul →
mirage	13–7	0.07	23%	26 Jun →
mirage	13–9	0.08	16%	25 Jun →
mirage	13–2	0.04	24%	24 Jun →
inferno	11–13	-0.01	14%	23 Jun →
ancient	15–15	0.05	19%	23 Jun →
inferno	9–7	-0.04	10%	22 Jun →
ancient	13–5	0.05	29%	20 Jun →
anubis	13–2	0.15	17%	20 Jun →
mirage	13–5	0.01	35%	20 Jun →
anubis	13–11	-0.00	12%	20 Jun →
mirage	10–13	0.02	23%	20 Jun →
ancient	13–7	0.09	14%	20 Jun →
dust2	13–7	-0.03	13%	20 Jun →
mirage	13–10	0.05	27%	20 Jun →
dust2	13–5	0.03	24%	20 Jun →
anubis	6–13	0.03	26%	20 Jun →
anubis	13–8	0.03	26%	20 Jun →
dust2	10–13	0.03	16%	20 Jun →
anubis	13–7	0.03	15%	20 Jun →
mirage	13–5	0.07	30%	20 Jun →
mirage	8–13	0.02	36%	19 Jun →
mirage	13–5	0.03	40%	19 Jun →
ancient	10–13	0.02	19%	9 Jun →
inferno	13–7	0.05	23%	9 Jun →
mirage	13–4	0.02	23%	8 Jun →
cache	12–12	0.02	17%	4 Jun →
anubis	13–5	-0.03	11%	4 Jun →
nuke	16–13	0.05	22%	4 Jun →
overpass	7–13	-0.00	18%	4 Jun →
mirage	13–4	0.01	10%	2 Jun →
mirage	13–4	0.06	18%	2 Jun →
anubis	2–13	-0.04	24%	2 Jun →
anubis	10–13	0.01	24%	1 Jun →
anubis	11–13	-0.01	17%	1 Jun →
mirage	13–8	0.08	20%	28 May →
nuke	13–5	0.13	24%	26 May →
dust2	13–1	-0.05	7%	26 May →
mirage	8–13	-0.01	17%	26 May →
mirage	5–13	0.03	19%	7 May →
mirage	13–6	0.08	10%	7 May →
nuke	13–5	-0.03	20%	7 May →
nuke	6–13	0.04	17%	6 May →
mirage	13–10	0.15	18%	6 May →
mirage	13–6	-0.06	10%	6 May →
inferno	9–13	-0.07	15%	6 May →
inferno	16–13	-0.01	15%	5 May →
dust2	9–13	0.06	30%	5 May →
nuke	15–15	0.06	14%	5 May →
mirage	13–7	0.09	15%	5 May →
mirage	8–13	0.12	13%	5 May →
mirage	11–13	0.10	13%	4 May →
mirage	13–4	0.07	29%	4 May →
nuke	7–13	-0.02	24%	4 May →
anubis	4–13	-0.03	21%	1 May →
inferno	3–13	-0.04	14%	1 May →
dust2	13–3	0.04	29%	1 May →
mirage	7–13	-0.03	16%	30 Apr →
anubis	13–7	0.00	11%	30 Apr →
dust2	13–5	0.04	13%	29 Apr →
cache	13–9	0.02	12%	29 Apr →
dust2	16–12	0.05	12%	23 Apr →
mirage	13–3	0.11	32%	23 Apr →
nuke	6–13	0.02	17%	10 Apr →
anubis	11–13	-0.01	12%	2 Apr →
overpass	9–6	-0.00	20%	2 Apr →
nuke	6–9	-0.04	13%	2 Apr →
inferno	9–2	0.06	30%	2 Apr →
inferno	13–5	0.13	17%	2 Apr →
inferno	6–13	0.08	13%	26 Mar →
mirage	16–13	0.00	15%	26 Mar →
mirage	8–13	0.04	12%	23 Mar →
mirage	13–16	-0.04	27%	23 Mar →
inferno	9–0	0.39	21%	23 Mar →
poseidon	9–6	0.01	7%	23 Mar →
anubis	8–13	0.07	16%	20 Mar →
dust2	10–13	0.01	12%	20 Mar →
anubis	13–6	0.11	20%	20 Mar →
nuke	13–9	0.04	14%	19 Mar →
inferno	13–10	0.01	13%	18 Mar →
ancient	7–13	0.02	12%	18 Mar →
dust2	1–13	-0.07	36%	18 Mar →
anubis	13–7	0.04	20%	18 Mar →
nuke	16–13	0.07	11%	17 Mar →
mirage	13–10	0.02	32%	17 Mar →
mirage	4–13	-0.06	12%	17 Mar →
mirage	7–13	-0.02	21%	13 Mar →
overpass	7–13	-0.05	7%	13 Mar →
anubis	13–8	0.04	5%	13 Mar →