PikaPwn — CS2 Stats

CA76561198146408129[U:1:186142401]Steam profile ↗✓ No bans

708Tracked matches38%Win rate2020Tracked since

1,879Hours in CS

CSDB Rating4.1 Developing

Premier CS Rating15,647Purple band · top ~25.8% of ranked players (population est.)

CSDB Leaderboard#13112 of 21201 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	vs Pink band
Headshot rate	35.0%	48.1%	13.1% short
Shot accuracy	16.8%	12.9%	above
Kill/death ratio	1.00	1.08	0.08 short
Match win rate	42.6%	46.5%	3.9% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim34

Positioning53

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY44–55–1Last 10044%Win rateLWWLLLWLLW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Aim3.4

Aggression5.6

Utility6.2

Positioning5.3

Opening Duels2.2

Clutch1.0

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 84% playstyle similarity

Most alike: utility contribution, 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

Reaction time. 688ms 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

Aim3.4

Positioning5.3

Utility6.2

Mechanics5.3

Opening Duels2.2

Win Impact1.0

Composite 4.1/10 (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 rating-0.01+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time679ms+33ms

first ⅓ avg 646ms → last ⅓ avg 679ms

Headshot accuracy15.4%+2.1%

first ⅓ avg 13.3% → last ⅓ avg 15.4%

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

0.10Best rating — dust2 13–2

13–2Biggest win — dust2

5Longest win streak

7–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 71% over 7anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	12–13	48%	-0.02
mirage	C	25	11–14	44%	-0.03
cache	D	22	7–15	32%	-0.02
ancient	S	9	6–3	67%	0.00
anubis	D	8	2–6	25%	-0.03
nuke	S	7	5–2	71%	-0.02
inferno	—	3	0–3	0%	-0.03
train	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,276Lifetime kills

1.00K/D

4,220Matches

42.6%Match win rate

35.0%Headshot %

16.8%Shot accuracy · Top 25% of tracked players

9,592MVPs

1,879Hours (in match)

6,152Bombs planted

1,097Bombs defused

Most-used weapons

AK-4720,964

M4A4 / M4A1-S16,377

AWP7,532

P2505,009

P2000 / USP-S4,024

Glock-183,771

SSG 082,825

Five-SeveN2,489

MAG-72,352

MAC-102,290

Lifetime map wins

21,228dust2

4,168inferno

3,860nuke

177office

90vertigo

59train

45cbble

37stmarc

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

Faceit stats

Combat

10Matches

40%Win rate

0.81Avg K/D

72.5ADR

47%Headshot %

Clutches & streaks

25%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	4	25%	0.74	15.3
Mirage	3	67%	0.80	10.3
Cache	1	100%	1.31	17.0
Anubis	1	0%	0.75	12.0
Ancient	1	0%	0.69	11.0

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.

15.7%Headshot accuracy

30.5%Accuracy (enemy spotted)

37.6%Spray accuracy

73.7%Counter-strafing

13.6°Preaim

688msReaction time

31.8%T opening success

45.8%CT opening success

0.64Enemies flashed / flash

7.8%Flash assists

9.80HE damage / grenade

14.53Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.5722° — above the 12° mark we flag
Aim Training →

Spend your practice time on Anubis

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 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	11–13	0.00	11%	12 Aug →
ancient	13–11	-0.01	27%	12 Aug →
train	13–8	0.04	16%	12 Aug →
anubis	10–13	0.02	15%	6 Aug →
dust2	6–13	-0.00	16%	4 Aug →
anubis	5–13	-0.05	19%	30 Jul →
dust2	16–14	-0.05	18%	30 Jul →
dust2	11–13	-0.03	22%	29 Jul →
mirage	8–13	-0.10	8%	29 Jul →
ancient	13–4	0.07	16%	28 Jul →
anubis	4–13	-0.04	23%	28 Jul →
nuke	15–15	0.01	15%	28 Jul →
dust2	17–19	-0.02	23%	28 Jul →
mirage	13–10	-0.00	15%	27 Jul →
anubis	13–6	0.02	21%	27 Jul →
cache	10–13	0.02	15%	27 Jul →
nuke	13–11	-0.01	16%	26 Jul →
mirage	7–13	-0.05	7%	26 Jul →
cache	13–6	-0.05	10%	25 Jul →
mirage	13–16	0.01	14%	25 Jul →
mirage	9–13	-0.05	13%	25 Jul →
dust2	13–2	0.10	17%	25 Jul →
dust2	13–6	0.03	15%	25 Jul →
ancient	1–13	-0.12	14%	24 Jul →
mirage	3–13	-0.03	20%	24 Jul →
anubis	9–13	-0.04	11%	24 Jul →
mirage	13–4	-0.05	5%	24 Jul →
inferno	9–13	-0.03	18%	24 Jul →
mirage	8–13	-0.06	10%	24 Jul →
cache	7–13	0.01	17%	23 Jul →
dust2	13–10	0.01	19%	23 Jul →
dust2	13–7	0.01	13%	23 Jul →
dust2	4–13	-0.01	13%	23 Jul →
dust2	13–8	-0.03	25%	23 Jul →
anubis	8–13	-0.04	6%	23 Jul →
mirage	13–7	0.03	4%	22 Jul →
dust2	9–13	-0.03	20%	22 Jul →
dust2	13–2	-0.01	3%	22 Jul →
cache	13–11	-0.02	11%	22 Jul →
mirage	13–2	0.02	17%	21 Jul →
nuke	16–13	0.01	10%	21 Jul →
cache	4–13	-0.01	23%	21 Jul →
dust2	8–13	-0.01	13%	21 Jul →
cache	13–5	0.02	9%	21 Jul →
dust2	3–13	-0.05	8%	21 Jul →
dust2	13–2	0.00	8%	21 Jul →
mirage	10–13	-0.04	9%	20 Jul →
ancient	13–6	0.06	14%	20 Jul →
nuke	13–11	-0.04	21%	20 Jul →
ancient	11–13	-0.01	16%	20 Jul →
ancient	5–13	-0.05	20%	20 Jul →
anubis	13–2	-0.01	6%	20 Jul →
cache	9–13	0.01	12%	20 Jul →
mirage	13–10	-0.01	12%	20 Jul →
cache	8–13	-0.07	15%	19 Jul →
cache	13–16	-0.05	10%	19 Jul →
inferno	9–13	-0.02	11%	19 Jul →
mirage	9–13	-0.04	17%	19 Jul →
cache	14–16	-0.02	14%	18 Jul →
mirage	8–13	-0.00	12%	18 Jul →
dust2	13–9	-0.05	18%	17 Jul →
anubis	0–13	-0.06	0%	17 Jul →
cache	13–10	0.02	12%	17 Jul →
dust2	13–11	-0.03	6%	17 Jul →
mirage	13–10	-0.04	15%	16 Jul →
cache	16–12	-0.07	14%	16 Jul →
dust2	13–11	-0.04	13%	16 Jul →
mirage	7–13	-0.13	5%	16 Jul →
mirage	13–8	0.04	16%	16 Jul →
ancient	13–5	0.06	15%	16 Jul →
dust2	9–13	-0.04	23%	16 Jul →
cache	13–3	0.02	13%	16 Jul →
dust2	6–13	-0.04	14%	16 Jul →
mirage	11–13	-0.01	27%	16 Jul →
mirage	3–13	-0.07	8%	16 Jul →
ancient	13–7	0.02	17%	16 Jul →
mirage	13–2	-0.00	12%	16 Jul →
cache	4–13	-0.01	11%	15 Jul →
mirage	3–13	-0.05	14%	15 Jul →
cache	2–11	-0.02	10%	15 Jul →
cache	13–6	0.02	22%	15 Jul →
mirage	13–10	-0.09	9%	15 Jul →
inferno	10–13	-0.03	13%	14 Jul →
ancient	13–9	0.00	21%	14 Jul →
mirage	13–9	-0.05	2%	14 Jul →
cache	10–13	-0.05	8%	14 Jul →
nuke	8–13	-0.04	11%	14 Jul →
dust2	13–4	-0.09	7%	13 Jul →
mirage	13–2	-0.01	13%	13 Jul →
cache	5–13	-0.09	11%	13 Jul →
dust2	5–13	-0.04	11%	12 Jul →
cache	10–13	-0.07	12%	11 Jul →
dust2	3–13	-0.00	21%	11 Jul →
cache	10–13	0.03	17%	11 Jul →
nuke	13–7	-0.06	11%	11 Jul →
cache	11–13	-0.07	15%	11 Jul →
dust2	1–13	-0.04	12%	11 Jul →
dust2	9–13	-0.07	13%	11 Jul →
mirage	5–13	-0.06	10%	11 Jul →
nuke	13–10	-0.01	19%	11 Jul →