PaPo~ — CS2 Stats

76561198079851355[U:1:119585627]Steam profile ↗VAC banned

222Tracked matches60%Win rate2022Tracked since

790Hours in CS

CSDB Rating4.6 Developing

Ladder ranks via Leetify

Performance scores

Aim41

Positioning48

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWWLLWLLWLW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim4.1

Aggression5.4

Utility5.8

Positioning4.8

Opening Duels1.1

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 82% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 669ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1

Positioning4.8

Utility5.8

Mechanics4.2

Opening Duels1.1

Win Impact8.3

Composite 4.6/10 (Developing), 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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time670ms−10ms

first ⅓ avg 680ms → last ⅓ avg 670ms

Headshot accuracy10.5%−5.9%

first ⅓ avg 16.4% → last ⅓ avg 10.5%

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 — ancient 13–1

13–1Biggest win — ancient

5Longest win streak

W2Current streak

8–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 67% over 6mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	30	13–17	43%	-0.01
ancient	A	23	14–9	61%	0.01
nuke	B	18	9–9	50%	-0.00
dust2	B	13	6–7	46%	-0.02
overpass	S	6	4–2	67%	-0.03
mirage	D	5	1–4	20%	0.01
anubis	—	4	4–0	100%	0.04
train	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,009Lifetime kills

1.14K/D · Top 50% of tracked players

2,085Matches

46.8%Match win rate · Top 50% of tracked players

29.0%Headshot %

14.5%Shot accuracy · Top 50% of tracked players

4,609MVPs

790Hours (in match)

2,034Bombs planted

501Bombs defused

Most-used weapons

P907,154

M4A4 / M4A1-S6,144

AK-475,056

AWP3,552

P2000 / USP-S1,382

Five-SeveN1,193

FAMAS1,149

Glock-181,099

Desert Eagle817

AUG787

Lifetime map wins

4,870dust2

4,831inferno

4,029nuke

295train

204office

201vertigo

102italy

88cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.3%Headshot accuracy

34.9%Accuracy (enemy spotted)

35.6%Spray accuracy

68.8%Counter-strafing

10.3°Preaim

669msReaction time

35.4%T opening success

33.8%CT opening success

0.57Enemies flashed / flash

3.0%Flash assists

8.40HE damage / grenade

7.93Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.344% — below the 15% mark we flag
Aim Training →
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 35.3816% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–7	-0.07	3%	11 Feb →
dust2	13–4	-0.05	17%	7 Feb →
dust2	8–13	0.07	11%	1 Feb →
inferno	10–13	-0.03	2%	31 Jan →
overpass	13–11	0.02	8%	31 Jan →
nuke	5–13	-0.01	12%	31 Jan →
mirage	10–13	0.01	10%	30 Jan →
anubis	13–7	0.02	18%	28 Jan →
dust2	13–16	-0.01	10%	27 Jan →
ancient	13–4	0.12	10%	27 Jan →
mirage	9–13	0.01	20%	25 Jan →
inferno	9–13	-0.05	14%	25 Jan →
ancient	13–5	0.01	5%	6 Jan →
nuke	16–12	0.03	10%	6 Jan →
overpass	13–9	0.03	10%	6 Jan →
inferno	13–7	-0.00	15%	4 Jan →
ancient	13–7	0.00	15%	4 Jan →
inferno	9–13	-0.00	13%	4 Jan →
nuke	13–10	-0.00	10%	4 Jan →
inferno	10–13	0.03	11%	3 Jan →
ancient	13–8	-0.02	11%	3 Jan →
inferno	13–11	0.07	13%	3 Jan →
ancient	11–13	-0.04	4%	2 Jan →
dust2	13–4	-0.01	11%	2 Jan →
overpass	13–9	-0.05	11%	2 Jan →
ancient	13–6	-0.01	9%	1 Jan →
inferno	13–4	0.05	4%	1 Jan →
mirage	13–5	0.05	10%	29 Dec →
nuke	3–13	0.13	7%	29 Dec →
ancient	5–13	-0.05	5%	29 Dec →
dust2	13–10	-0.05	15%	28 Dec →
nuke	10–13	-0.08	14%	28 Dec →
ancient	13–11	-0.01	8%	28 Dec →
inferno	13–8	0.01	17%	28 Dec →
inferno	13–11	0.02	9%	26 Dec →
inferno	9–13	-0.07	13%	13 Dec →
ancient	3–13	-0.03	16%	13 Dec →
ancient	10–13	-0.00	7%	26 Nov →
dust2	13–9	-0.07	18%	14 Sept →
mirage	6–13	-0.03	9%	14 Sept →
dust2	4–13	-0.11	7%	14 Sept →
overpass	0–13	-0.10	25%	1 Sept →
inferno	6–13	-0.06	6%	1 Sept →
overpass	13–10	-0.02	15%	30 Aug →
inferno	13–2	0.06	12%	30 Aug →
inferno	5–13	-0.03	10%	22 Aug →
overpass	7–13	-0.05	21%	20 Aug →
inferno	14–16	0.01	14%	12 Aug →
ancient	5–13	-0.01	17%	11 Aug →
dust2	13–10	0.01	21%	11 Aug →
ancient	8–13	-0.04	11%	11 Aug →
inferno	13–6	-0.07	8%	11 Aug →
dust2	15–15	-0.01	12%	6 Aug →
ancient	13–4	0.02	12%	6 Aug →
nuke	8–13	-0.04	6%	6 Aug →
inferno	3–13	-0.02	13%	6 Aug →
inferno	8–13	-0.03	16%	4 Aug →
ancient	11–13	-0.03	12%	4 Aug →
dust2	10–13	-0.00	18%	4 Aug →
inferno	13–11	0.03	15%	27 Jul →
nuke	13–6	-0.03	8%	27 Jul →
nuke	13–11	-0.02	9%	27 Jul →
ancient	7–13	-0.04	5%	26 Jul →
nuke	4–13	-0.05	7%	26 Jul →
dust2	4–13	-0.05	17%	26 Jul →
inferno	7–13	-0.07	8%	26 Jul →
ancient	13–1	0.14	18%	26 Jul →
dust2	13–7	-0.00	16%	23 Jul →
inferno	9–13	-0.03	21%	23 Jul →
nuke	6–13	-0.03	14%	23 Jul →
inferno	13–9	-0.00	17%	22 Jul →
ancient	13–6	-0.05	8%	22 Jul →
nuke	5–13	-0.06	9%	22 Jul →
inferno	13–9	0.02	11%	20 Jul →
nuke	13–8	0.00	7%	20 Jul →
ancient	13–1	0.06	13%	20 Jul →
inferno	13–11	-0.01	7%	19 Jul →
nuke	13–10	0.05	19%	13 Jul →
nuke	7–13	-0.05	13%	13 Jul →
ancient	13–4	-0.01	12%	12 Jul →
anubis	13–6	0.08	14%	12 Jul →
mirage	7–13	-0.00	19%	12 Jul →
inferno	9–13	0.03	22%	12 Jul →
ancient	13–6	0.03	23%	12 Jul →
inferno	11–13	-0.04	17%	8 Jul →
inferno	2–13	-0.07	7%	8 Jul →
nuke	13–5	0.11	20%	6 Jul →
inferno	8–13	-0.05	15%	6 Jul →
inferno	4–13	-0.02	31%	6 Jul →
nuke	13–10	0.03	23%	2 Jul →
ancient	13–9	0.10	25%	2 Jul →
nuke	13–7	-0.01	15%	2 Jul →
nuke	13–16	0.00	20%	1 Jul →
anubis	13–6	0.05	20%	1 Jul →
inferno	7–0	0.04	24%	29 Jun →
dust2	15–15	0.03	25%	29 Jun →
ancient	13–10	0.03	18%	28 Jun →
train	0–13	-0.04	9%	28 Jun →
anubis	13–11	0.00	14%	28 Jun →
ancient	8–13	-0.05	14%	28 Jun →