✪ pwnzz — CS2 Stats

76561199217606186[U:1:1257340458]Steam profile ↗✓ No bans

2,038Tracked matches53%Win rate2021Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating23,501Top 50% of 29,473 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)

CSDB Leaderboard#7997 of 39689 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning59

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWWWWLWLWLL

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

Player DNA

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

Aim8.0

Aggression7.9

Utility6.3

Positioning5.9

Opening Duels4.2

Clutch4.8

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 donk 93% playstyle similarity

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

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

Areas to improve

T-side openings. Opening success drops from 58% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms 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

Aim8.0

Positioning5.9

Utility6.3

Mechanics7.0

Opening Duels4.2

Win Impact6.1

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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time583ms−19ms

first ⅓ avg 602ms → last ⅓ avg 583ms

Headshot accuracy24.3%−0.8%

first ⅓ avg 25.1% → last ⅓ avg 24.3%

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

0.14Best rating — dust2 13–2

13–2Biggest win — dust2

4Longest win streak

W4Current streak

8–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 60% over 5infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	37	20–17	54%	0.02
ancient	B	19	10–9	53%	0.00
mirage	B	15	8–7	53%	-0.01
inferno	D	10	3–7	30%	-0.02
cache	A	7	4–3	57%	0.02
nuke	A	5	3–2	60%	-0.00
anubis	C	5	2–3	40%	-0.01
overpass	—	2	1–1	50%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,245Matches

53%Win rate

1.10Avg K/D

77.1ADR

56%Headshot %

Clutches & streaks

44%1v1 clutch win

32%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	130	58%	1.09	15.4
Ancient	86	52%	1.20	16.9
Dust2	85	65%	1.11	16.6
Anubis	84	43%	0.95	13.8
Nuke	23	43%	0.98	15.3
Inferno	20	45%	1.13	15.7
Vertigo	17	65%	1.39	17.9
Overpass	14	50%	1.14	15.9

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.

23.6%Headshot accuracy

35.5%Accuracy (enemy spotted)

39.1%Spray accuracy

81.7%Counter-strafing

9.5°Preaim

589msReaction time

36.0%T opening success

57.8%CT opening success

0.65Enemies flashed / flash

11.2%Flash assists

8.95HE damage / grenade

11.50Flashes / 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
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 35.9566% — below the 40% mark we flag

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.

30% 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
ancient	13–9	0.05	20%	26 Aug →
mirage	13–9	-0.01	25%	17 Aug →
ancient	13–10	-0.06	13%	4 Aug →
ancient	13–11	0.02	26%	31 Jul →
cache	9–13	0.02	20%	30 Jul →
nuke	13–9	0.02	27%	30 Jul →
dust2	12–16	0.01	25%	29 Jul →
ancient	13–4	0.01	24%	29 Jul →
dust2	2–13	-0.00	18%	29 Jul →
dust2	7–13	-0.01	32%	28 Jul →
dust2	6–13	0.03	34%	27 Jul →
cache	16–12	0.02	25%	26 Jul →
ancient	4–13	-0.00	17%	25 Jul →
inferno	8–13	-0.08	23%	24 Jul →
mirage	13–6	-0.04	20%	24 Jul →
cache	13–4	0.04	27%	22 Jul →
dust2	13–8	0.08	33%	22 Jul →
dust2	13–8	-0.01	30%	21 Jul →
cache	5–13	-0.03	22%	21 Jul →
ancient	8–13	-0.02	15%	20 Jul →
cache	11–13	0.08	19%	20 Jul →
ancient	16–14	-0.00	16%	20 Jul →
inferno	13–7	0.05	33%	20 Jul →
anubis	3–13	-0.04	24%	20 Jul →
mirage	10–13	0.01	25%	20 Jul →
dust2	13–8	0.11	24%	19 Jul →
dust2	13–7	-0.03	16%	19 Jul →
dust2	11–13	-0.01	23%	19 Jul →
dust2	13–11	-0.05	27%	19 Jul →
dust2	9–13	-0.02	29%	19 Jul →
dust2	10–13	0.00	33%	18 Jul →
inferno	13–7	-0.06	30%	18 Jul →
cache	13–8	0.04	27%	17 Jul →
ancient	13–11	0.02	38%	17 Jul →
mirage	13–8	0.02	27%	15 Jul →
mirage	10–13	-0.03	26%	15 Jul →
dust2	13–8	0.03	28%	15 Jul →
dust2	10–13	-0.04	32%	15 Jul →
dust2	13–5	-0.00	52%	6 Jul →
mirage	13–8	0.02	25%	6 Jul →
mirage	9–13	-0.08	20%	6 Jul →
inferno	8–13	-0.04	38%	5 Jul →
mirage	13–16	0.03	35%	5 Jul →
ancient	13–7	0.07	35%	4 Jul →
mirage	13–4	-0.00	29%	3 Jul →
mirage	13–5	0.10	28%	3 Jul →
anubis	15–19	-0.07	26%	1 Jul →
ancient	1–6	-0.05	25%	1 Jul →
dust2	13–5	0.01	36%	1 Jul →
dust2	11–13	-0.06	33%	30 Jun →
mirage	9–13	-0.06	6%	30 Jun →
dust2	13–5	0.08	27%	29 Jun →
mirage	13–7	-0.00	21%	29 Jun →
anubis	13–6	-0.00	20%	27 Jun →
ancient	9–13	-0.02	17%	27 Jun →
nuke	13–4	-0.08	30%	27 Jun →
dust2	7–13	-0.00	17%	26 Jun →
anubis	13–3	0.06	30%	26 Jun →
dust2	13–10	0.06	19%	25 Jun →
mirage	11–13	-0.02	34%	25 Jun →
inferno	5–13	-0.04	35%	23 Jun →
dust2	13–2	0.06	48%	23 Jun →
dust2	7–13	0.02	27%	23 Jun →
nuke	6–0	0.02	10%	23 Jun →
dust2	19–17	0.02	20%	17 Jun →
dust2	13–9	0.14	28%	17 Jun →
inferno	4–9	-0.06	19%	16 Jun →
ancient	13–8	0.10	27%	16 Jun →
dust2	13–6	0.04	48%	15 Jun →
dust2	6–13	0.00	22%	15 Jun →
cache	16–14	-0.00	19%	13 Jun →
ancient	7–13	-0.05	26%	13 Jun →
nuke	20–22	0.01	16%	12 Jun →
dust2	13–10	0.03	12%	11 Jun →
mirage	11–13	-0.05	16%	11 Jun →
nuke	17–19	0.02	19%	11 Jun →
inferno	2–3	-0.00	60%	9 Jun →
dust2	13–2	0.14	40%	9 Jun →
inferno	11–13	0.04	29%	9 Jun →
dust2	13–9	0.03	17%	8 Jun →
dust2	8–13	-0.03	20%	8 Jun →
overpass	11–13	-0.00	18%	3 Jun →
inferno	13–7	-0.02	26%	3 Jun →
dust2	11–13	0.02	29%	3 Jun →
ancient	7–13	-0.00	34%	31 May →
ancient	15–15	0.03	30%	31 May →
inferno	1–11	-0.03	21%	30 May →
dust2	13–4	0.05	24%	30 May →
ancient	13–2	0.02	15%	30 May →
dust2	13–16	-0.07	27%	29 May →
dust2	13–7	0.09	27%	29 May →
mirage	13–11	0.05	30%	29 May →
ancient	13–5	-0.03	18%	28 May →
ancient	15–15	0.01	31%	28 May →
dust2	9–13	0.03	33%	28 May →
anubis	13–16	-0.01	18%	28 May →
dust2	10–13	-0.02	25%	25 May →
ancient	3–13	-0.01	14%	25 May →
overpass	13–8	-0.03	16%	25 May →
dust2	13–11	0.05	21%	25 May →