Pzy™ — CS2 Stats

76561198056252671[U:1:95986943]Steam profile ↗VAC banned

716Tracked matches56%Win rate2021Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating21,445Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)

CSDB Leaderboard#9457 of 28720 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning51

Utility37

0–100 skill scores via Leetify.

Recent form

COLD48–43–9Last 10048%Win rateWLLWLLWLTL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

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

Aim9.0

Aggression8.5

Utility3.7

Positioning5.1

Opening Duels4.0

Clutch1.0

Sharp aimerLimited utility dependence

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 90% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

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

Reaction time. 608ms 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

Aim9.0

Positioning5.1

Utility3.7

Mechanics8.1

Opening Duels4.0

Win Impact6.9

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time614ms−27ms

first ⅓ avg 642ms → last ⅓ avg 614ms

Headshot accuracy19.8%−1.7%

first ⅓ avg 21.5% → last ⅓ avg 19.8%

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

0.19Best rating — inferno 10–13

13–2Biggest win — cache

6Longest win streak

3–2In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 58% over 26infernoWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	26	15–11	58%	0.02
dust2	A	23	13–10	57%	0.03
mirage	C	14	6–8	43%	0.00
vertigo	B	11	5–6	45%	0.01
inferno	C	8	3–5	38%	0.03
train	C	5	2–3	40%	0.05
nuke	—	4	0–4	0%	-0.00
ancient	—	3	2–1	67%	0.08
boulder	—	2	0–2	0%	0.06
anubis	—	1	1–0	100%	0.02
office	—	1	0–1	0%	0.05
fachwerk	—	1	0–1	0%	0.08
overpass	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

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

Faceit stats

Combat

91Matches

52%Win rate

1.04Avg K/D

78.8ADR

40%Headshot %

Clutches & streaks

25%1v1 clutch win

23%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	7	57%	1.22	16.3
Mirage	6	50%	1.10	14.3
Anubis	5	60%	1.15	14.6
Overpass	1	100%	2.17	26.0
Nuke	1	0%	1.29	18.0

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.

19.4%Headshot accuracy

43.7%Accuracy (enemy spotted)

46.3%Spray accuracy

86.4%Counter-strafing

8.4°Preaim

608msReaction time

44.6%T opening success

47.1%CT opening success

0.32Enemies flashed / flash

4.1%Flash assists

8.45HE damage / grenade

2.95Flashes / 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 0.3154 — 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.

38% win rate across 8 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
cache	13–9	0.09	19%	20 Aug →
mirage	7–13	0.02	10%	20 Aug →
cache	10–13	-0.03	16%	20 Aug →
mirage	13–9	0.01	19%	20 Aug →
dust2	11–13	-0.03	22%	18 Aug →
dust2	4–13	-0.08	30%	18 Aug →
mirage	13–9	0.03	18%	17 Aug →
mirage	3–13	-0.04	16%	17 Aug →
cache	12–12	0.03	18%	17 Aug →
dust2	6–13	0.01	13%	17 Aug →
cache	13–10	0.02	15%	16 Aug →
dust2	13–9	0.07	18%	16 Aug →
mirage	9–13	0.00	11%	13 Aug →
cache	5–13	-0.01	30%	13 Aug →
vertigo	13–9	0.07	18%	12 Aug →
cache	13–7	0.02	10%	12 Aug →
mirage	13–16	-0.04	19%	11 Aug →
anubis	9–0	0.02	17%	11 Aug →
cache	13–5	0.11	26%	10 Aug →
mirage	13–8	0.09	23%	10 Aug →
nuke	11–13	0.02	17%	7 Aug →
vertigo	13–11	0.02	15%	7 Aug →
inferno	13–8	-0.03	23%	7 Aug →
dust2	13–3	0.09	20%	7 Aug →
train	12–12	0.13	27%	7 Aug →
cache	13–2	0.12	30%	5 Aug →
mirage	12–12	-0.04	27%	5 Aug →
vertigo	7–13	-0.00	27%	5 Aug →
mirage	5–13	0.03	17%	3 Aug →
cache	13–2	0.02	15%	3 Aug →
dust2	13–3	0.13	17%	3 Aug →
vertigo	12–12	0.02	25%	3 Aug →
cache	4–13	0.03	26%	2 Aug →
dust2	10–13	0.01	17%	2 Aug →
cache	13–10	0.04	12%	30 Jul →
inferno	13–9	0.02	10%	30 Jul →
mirage	13–8	0.07	20%	30 Jul →
ancient	13–10	0.04	17%	30 Jul →
cache	13–3	0.06	21%	30 Jul →
cache	13–10	0.06	29%	29 Jul →
cache	8–13	0.05	21%	29 Jul →
ancient	13–3	0.10	22%	28 Jul →
dust2	8–13	-0.08	26%	28 Jul →
cache	13–5	0.01	10%	28 Jul →
vertigo	10–13	0.02	18%	27 Jul →
train	7–13	-0.06	25%	27 Jul →
dust2	13–11	0.05	17%	27 Jul →
mirage	5–13	-0.03	10%	22 Jul →
cache	13–4	-0.03	17%	22 Jul →
dust2	13–10	0.06	22%	22 Jul →
train	9–13	0.05	13%	22 Jul →
office	3–13	0.05	20%	22 Jul →
boulder	12–12	0.09	24%	22 Jul →
cache	9–13	-0.02	14%	22 Jul →
dust2	13–7	-0.03	19%	22 Jul →
nuke	9–13	-0.03	22%	22 Jul →
cache	10–13	-0.01	14%	22 Jul →
dust2	13–4	0.09	15%	22 Jul →
cache	4–13	-0.04	11%	22 Jul →
vertigo	13–10	-0.01	17%	21 Jul →
train	12–5	0.06	21%	21 Jul →
boulder	12–12	0.02	18%	21 Jul →
dust2	13–4	0.07	20%	21 Jul →
vertigo	6–13	-0.00	10%	21 Jul →
dust2	6–13	-0.04	29%	21 Jul →
dust2	13–8	-0.00	21%	21 Jul →
cache	16–13	0.06	28%	21 Jul →
mirage	13–8	0.01	21%	21 Jul →
inferno	13–8	0.06	17%	21 Jul →
cache	13–9	0.01	27%	21 Jul →
mirage	3–13	-0.03	16%	21 Jul →
dust2	13–7	0.08	18%	20 Jul →
fachwerk	12–12	0.08	20%	20 Jul →
cache	6–13	-0.00	37%	19 Jul →
overpass	13–8	0.07	16%	19 Jul →
cache	4–13	-0.13	20%	17 Jul →
dust2	13–6	0.01	17%	17 Jul →
mirage	13–5	-0.03	33%	17 Jul →
vertigo	6–13	-0.06	22%	17 Jul →
inferno	5–13	-0.03	37%	17 Jul →
cache	13–4	0.02	23%	17 Jul →
inferno	5–13	-0.05	8%	13 Jul →
vertigo	13–11	0.03	22%	5 Jul →
inferno	10–13	0.06	14%	5 Jul →
dust2	5–13	0.11	21%	5 Jul →
cache	3–13	-0.03	11%	5 Jul →
dust2	6–13	0.11	29%	5 Jul →
dust2	13–5	0.05	28%	3 Jul →
nuke	12–12	0.00	18%	3 Jul →
dust2	13–9	0.04	16%	3 Jul →
inferno	3–13	0.01	15%	3 Jul →
cache	13–7	0.13	21%	30 Jun →
dust2	12–12	0.04	24%	30 Jun →
ancient	9–13	0.10	26%	30 Jun →
vertigo	9–13	-0.08	22%	30 Jun →
train	4–1	0.06	33%	30 Jun →
dust2	8–13	-0.02	14%	30 Jun →
vertigo	13–5	0.08	26%	29 Jun →
nuke	4–13	-0.00	19%	29 Jun →
inferno	10–13	0.19	18%	29 Jun →