Pycuu — CS2 Stats

76561197973611196[U:1:13345468]Steam profile ↗✓ No bans

307Tracked matches47%Win rate2020Tracked since

CSDB Rating6.1 SolidHybrid Rifler

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning47

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWLWLLLWWLL

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.

Aim8.2

Aggression5.0

Utility5.5

Positioning4.7

Opening Duels3.1

Clutch0.0

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 NiKo 91% playstyle similarity

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

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% on CT to 33% 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

Aim8.2

Positioning4.7

Utility5.5

Mechanics7.6

Opening Duels3.1

Win Impact3.9

Composite 6.1/10 (Solid), 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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time588ms−4ms

first ⅓ avg 592ms → last ⅓ avg 588ms

Headshot accuracy22.8%+3.2%

first ⅓ avg 19.6% → last ⅓ avg 22.8%

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

0.14Best rating — nuke 13–5

13–0Biggest win — mirage

4Longest win streak

6–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 80% over 10ancientWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	14–15	48%	0.01
dust2	B	21	11–10	52%	-0.01
inferno	B	18	9–9	50%	0.01
ancient	D	12	3–9	25%	-0.03
nuke	S	10	8–2	80%	0.03
anubis	—	4	2–2	50%	0.00
cache	—	3	1–2	33%	0.00
overpass	—	2	0–2	0%	-0.04
train	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

109Matches

56%Win rate

1.05Avg K/D

69.5ADR

52%Headshot %

Clutches & streaks

20%1v1 clutch win

15%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	57%	1.03	12.9
Dust2	18	44%	0.80	11.9
Inferno	18	72%	1.10	13.9
Ancient	7	43%	0.72	10.6
Vertigo	5	60%	1.06	13.4
Cache	5	80%	1.37	19.6
Nuke	5	60%	1.11	12.2
Overpass	2	0%	0.50	9.0

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.

23.6%Headshot accuracy

36.9%Accuracy (enemy spotted)

36.1%Spray accuracy

84.4%Counter-strafing

9.1°Preaim

589msReaction time

32.7%T opening success

51.8%CT opening success

0.52Enemies flashed / flash

4.2%Flash assists

11.83HE damage / grenade

9.63Flashes / 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 32.7057% — below the 40% mark we flag

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.

25% win rate across 12 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	13–9	-0.03	11%	26 Aug →
dust2	11–13	-0.01	23%	26 Jul →
inferno	13–6	0.03	27%	26 Jul →
cache	6–13	-0.01	17%	26 Jul →
inferno	9–13	-0.08	41%	26 Jul →
inferno	10–13	0.01	39%	23 Jul →
inferno	13–4	0.12	23%	15 Jul →
nuke	16–13	-0.01	21%	15 Jul →
inferno	11–13	-0.04	16%	12 Jul →
ancient	11–13	-0.04	14%	11 Jul →
inferno	8–13	-0.03	21%	11 Jul →
cache	10–13	0.03	23%	10 Jul →
mirage	13–9	-0.00	31%	10 Jul →
dust2	8–13	-0.04	33%	10 Jul →
inferno	10–13	-0.02	31%	7 Jul →
inferno	13–11	-0.00	31%	2 Jul →
inferno	13–9	0.05	37%	28 Jun →
dust2	13–8	-0.03	17%	28 Jun →
nuke	13–7	-0.05	11%	28 Jun →
anubis	10–13	-0.05	29%	28 Jun →
mirage	7–13	0.01	19%	28 Jun →
mirage	11–13	0.02	19%	24 Jun →
overpass	9–13	-0.03	14%	23 Jun →
inferno	13–8	0.04	21%	23 Jun →
mirage	10–13	-0.02	26%	5 Jun →
dust2	13–7	-0.01	23%	5 Jun →
mirage	13–6	0.06	26%	5 Jun →
dust2	16–12	-0.00	23%	18 May →
ancient	2–13	-0.00	18%	13 May →
mirage	13–0	0.11	19%	13 May →
cache	13–10	-0.00	17%	29 Apr →
ancient	10–13	-0.05	12%	29 Apr →
overpass	7–13	-0.06	19%	27 Apr →
mirage	6–13	-0.03	13%	27 Apr →
mirage	13–9	0.07	32%	24 Apr →
mirage	9–13	-0.01	23%	24 Apr →
dust2	16–14	-0.00	35%	24 Apr →
mirage	3–13	-0.09	38%	23 Apr →
nuke	13–6	0.04	22%	23 Apr →
nuke	16–13	0.04	26%	22 Apr →
mirage	13–9	0.00	20%	21 Apr →
nuke	13–2	0.10	23%	21 Apr →
ancient	6–13	-0.08	16%	21 Apr →
inferno	7–13	-0.03	22%	19 Apr →
ancient	15–15	-0.00	17%	19 Apr →
dust2	13–3	-0.04	26%	19 Apr →
mirage	15–15	0.05	18%	18 Apr →
dust2	16–12	0.01	21%	18 Apr →
mirage	13–4	-0.01	14%	18 Apr →
nuke	13–5	0.14	25%	17 Apr →
mirage	13–5	-0.00	10%	17 Apr →
dust2	11–13	0.02	25%	17 Apr →
inferno	14–16	0.05	14%	17 Apr →
inferno	16–13	0.01	26%	14 Apr →
inferno	8–13	-0.01	29%	13 Apr →
mirage	5–13	-0.03	14%	13 Apr →
dust2	13–7	-0.00	30%	13 Apr →
anubis	11–13	-0.05	13%	12 Apr →
mirage	13–5	0.08	17%	12 Apr →
ancient	13–5	-0.00	14%	12 Apr →
dust2	5–13	-0.07	3%	12 Apr →
ancient	13–7	-0.02	10%	8 Apr →
nuke	13–2	-0.01	8%	8 Apr →
dust2	13–9	0.01	15%	8 Apr →
mirage	10–13	0.02	28%	4 Apr →
ancient	9–13	-0.03	27%	4 Apr →
dust2	13–11	-0.01	22%	29 Mar →
anubis	13–8	0.07	23%	27 Mar →
mirage	6–13	0.05	24%	12 Mar →
anubis	13–8	0.03	13%	12 Mar →
mirage	13–6	0.07	22%	6 Mar →
dust2	6–13	-0.05	13%	27 Jan →
mirage	13–9	0.06	19%	25 Jan →
mirage	6–13	0.05	19%	9 Jan →
nuke	11–13	-0.00	10%	5 Dec →
mirage	9–13	0.06	21%	13 Aug →
ancient	7–13	-0.08	14%	10 Aug →
dust2	13–6	0.02	24%	10 Aug →
dust2	14–16	0.03	18%	10 Aug →
ancient	4–13	-0.07	17%	9 Aug →
train	13–10	0.04	13%	9 Aug →
mirage	13–4	0.01	16%	7 Aug →
mirage	13–4	0.03	5%	7 Aug →
mirage	2–13	-0.02	26%	4 Aug →
ancient	5–13	0.04	30%	27 Jul →
nuke	10–13	0.05	28%	26 Jul →
dust2	6–13	0.05	27%	26 Jul →
ancient	13–9	-0.03	23%	26 Jul →
mirage	9–13	-0.04	31%	13 Jul →
dust2	8–13	-0.02	15%	13 Jul →
mirage	6–13	-0.06	34%	11 Jul →
inferno	13–11	-0.05	31%	10 Jul →
dust2	13–11	0.02	17%	10 Jul →
dust2	6–13	-0.03	24%	9 Jul →
dust2	10–13	-0.02	8%	8 Jul →
inferno	11–13	-0.02	19%	6 Jul →
inferno	13–11	0.06	23%	6 Jul →
nuke	13–1	0.01	18%	6 Jul →
inferno	13–8	0.01	2%	4 Jul →
mirage	13–6	0.00	22%	4 Jul →