petrag — CS2 Stats

BM76561199101545920[U:1:1141280192]Steam profile ↗1 game ban

326Tracked matches93%Win rate2021Tracked since

CSDB Rating7.5 StrongAggressive Rifler

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning71

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY64–27–9Last 10064%Win rateLWWLWWWWWW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.9

Aggression10.0

Utility4.9

Positioning7.1

Opening Duels5.5

Clutch2.4

Sharp aimer

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 ZywOo 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.9

Positioning7.1

Utility4.9

Mechanics7.2

Opening Duels5.5

Win Impact10.0

Composite 7.5/10 (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 rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time546ms+6ms

first ⅓ avg 540ms → last ⅓ avg 546ms

Headshot accuracy23.3%−0.3%

first ⅓ avg 23.6% → last ⅓ avg 23.3%

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

0.11Best rating — cache 13–7

13–0Biggest win — ancient

30Longest win streak

Map breakdown

ancientBest map · 83% over 12infernoWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	26	18–8	69%	0.01
cache	S	18	13–5	72%	0.03
mirage	A	14	8–6	57%	-0.01
ancient	S	12	10–2	83%	0.02
inferno	C	10	4–6	40%	0.00
nuke	A	7	4–3	57%	-0.01
anubis	B	6	3–3	50%	-0.00
boulder	—	3	2–1	67%	0.01
office	—	2	1–1	50%	0.01
shelter	—	1	1–0	100%	0.03
fachwerk	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

414Matches

54%Win rate

1.24Avg K/D

86.5ADR

49%Headshot %

Clutches & streaks

32%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	167	53%	1.28	18.3
Dust2	85	58%	1.22	17.5
Anubis	45	56%	1.15	17.0
Nuke	38	61%	1.26	18.0
Ancient	36	39%	1.06	16.0
Inferno	15	40%	1.16	17.5
Overpass	12	75%	1.69	17.8
Cache	9	67%	1.21	14.8

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.

23.3%Headshot accuracy

39.7%Accuracy (enemy spotted)

45.0%Spray accuracy

82.3%Counter-strafing

9.9°Preaim

547msReaction time

53.6%T opening success

50.0%CT opening success

0.43Enemies flashed / flash

8.6%Flash assists

9.28HE damage / grenade

7.31Flashes / 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 0.4285 — 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.

40% win rate across 10 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
boulder	4–13	0.01	36%	30 Aug →
mirage	6–3	-0.05	18%	30 Aug →
dust2	13–5	0.07	18%	30 Aug →
inferno	4–13	-0.09	22%	30 Aug →
dust2	13–1	0.10	18%	29 Aug →
mirage	13–8	-0.03	26%	29 Aug →
cache	13–10	0.08	24%	29 Aug →
inferno	13–4	0.01	11%	29 Aug →
inferno	13–6	0.02	15%	29 Aug →
anubis	13–10	0.01	22%	28 Aug →
anubis	13–7	0.01	25%	28 Aug →
cache	13–4	0.03	13%	28 Aug →
cache	13–8	0.03	23%	28 Aug →
cache	13–3	0.08	28%	28 Aug →
cache	13–3	0.03	9%	28 Aug →
ancient	13–1	0.02	19%	28 Aug →
cache	13–6	-0.02	19%	28 Aug →
anubis	13–9	-0.04	12%	28 Aug →
ancient	13–3	0.04	28%	28 Aug →
ancient	13–0	0.01	60%	28 Aug →
ancient	13–5	-0.01	18%	27 Aug →
ancient	13–2	0.03	29%	27 Aug →
cache	13–6	0.03	29%	27 Aug →
cache	13–7	0.11	27%	27 Aug →
ancient	13–4	0.09	28%	27 Aug →
boulder	13–3	0.03	26%	27 Aug →
nuke	13–9	0.03	35%	27 Aug →
dust2	13–4	0.03	26%	27 Aug →
mirage	13–5	-0.08	14%	26 Aug →
mirage	13–3	-0.01	26%	26 Aug →
dust2	13–7	0.05	19%	26 Aug →
dust2	13–9	-0.00	25%	26 Aug →
office	13–1	0.00	20%	24 Aug →
dust2	13–6	0.06	19%	24 Aug →
dust2	2–13	-0.01	31%	23 Aug →
nuke	4–0	-0.02	0%	23 Aug →
mirage	0–13	-0.04	50%	23 Aug →
cache	7–13	0.01	15%	23 Aug →
dust2	13–5	-0.02	14%	23 Aug →
ancient	13–5	0.07	25%	23 Aug →
cache	13–9	0.01	35%	23 Aug →
ancient	13–4	-0.01	24%	23 Aug →
dust2	12–12	-0.00	27%	23 Aug →
dust2	13–4	0.07	36%	22 Aug →
inferno	0–13	-0.01	25%	22 Aug →
ancient	13–6	0.01	24%	22 Aug →
nuke	10–13	0.01	29%	22 Aug →
mirage	13–7	-0.07	10%	22 Aug →
mirage	12–12	-0.03	13%	21 Aug →
dust2	13–4	0.01	26%	21 Aug →
mirage	6–13	-0.03	22%	21 Aug →
ancient	5–13	-0.01	24%	21 Aug →
mirage	12–12	0.03	31%	21 Aug →
anubis	4–13	-0.04	16%	20 Aug →
cache	13–10	0.05	18%	20 Aug →
inferno	12–12	0.01	30%	20 Aug →
cache	12–12	0.02	17%	20 Aug →
nuke	13–6	-0.01	28%	20 Aug →
dust2	13–7	-0.01	42%	20 Aug →
mirage	13–5	0.03	25%	19 Aug →
mirage	8–13	0.03	21%	19 Aug →
inferno	13–6	-0.00	23%	19 Aug →
dust2	13–11	-0.02	19%	19 Aug →
inferno	7–13	0.02	22%	7 Aug →
shelter	13–5	0.03	34%	2 Aug →
fachwerk	5–13	0.01	20%	2 Aug →
nuke	13–7	0.05	16%	20 Jul →
mirage	13–6	0.01	19%	20 Jul →
cache	12–12	-0.02	24%	20 Jul →
dust2	13–6	0.01	16%	20 Jul →
dust2	12–12	0.03	30%	20 Jul →
cache	13–9	0.02	33%	19 Jul →
dust2	13–11	-0.01	24%	19 Jul →
cache	13–3	0.10	48%	19 Jul →
dust2	13–4	0.07	21%	19 Jul →
dust2	3–0	0.06	25%	19 Jul →
mirage	12–12	0.05	20%	19 Jul →
inferno	7–13	0.06	21%	19 Jul →
inferno	9–13	-0.04	20%	19 Jul →
nuke	3–13	-0.04	24%	19 Jul →
dust2	13–7	-0.03	28%	16 Jul →
dust2	13–8	0.01	17%	16 Jul →
dust2	10–13	0.00	33%	13 Jul →
dust2	0–13	-0.11	8%	13 Jul →
dust2	5–13	-0.07	20%	13 Jul →
mirage	13–5	-0.00	12%	13 Jul →
cache	8–13	0.03	41%	13 Jul →
nuke	4–13	-0.11	12%	13 Jul →
cache	7–13	-0.03	30%	12 Jul →
dust2	8–13	-0.04	35%	12 Jul →
ancient	8–1	-0.01	19%	12 Jul →
inferno	13–7	0.05	23%	12 Jul →
anubis	3–8	0.07	13%	11 Jul →
anubis	9–13	-0.04	12%	11 Jul →
dust2	9–13	-0.00	25%	11 Jul →
ancient	12–12	0.02	20%	11 Jul →
cache	13–10	-0.05	27%	11 Jul →
boulder	13–0	-0.01	50%	11 Jul →
office	6–13	0.03	15%	11 Jul →
dust2	13–6	-0.02	15%	11 Jul →