PikaPikaMother_Fker — CS2 Stats

76561199382235443[U:1:1421969715]Steam profile ↗✓ No bans

855Tracked matches52%Win rate2024Tracked since

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating22,068Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning58

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateWWWWLLLLLW

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression6.2

Utility5.7

Positioning5.8

Opening Duels1.8

Clutch4.8

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 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Counter-strafing. Only 68% 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

Aim6.3

Positioning5.8

Utility5.7

Mechanics4.0

Opening Duels1.8

Win Impact5.6

Composite 5.3/10 (Developing), 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 rating0.01+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time519ms−25ms

first ⅓ avg 544ms → last ⅓ avg 519ms

Headshot accuracy14.5%−1.8%

first ⅓ avg 16.3% → last ⅓ avg 14.5%

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

0.16Best rating — ancient 13–10

13–2Biggest win — ancient

7Longest win streak

W4Current streak

8–9In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 70% over 10infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	41	15–26	37%	0.00
ancient	C	16	7–9	44%	0.02
nuke	S	10	7–3	70%	0.01
mirage	C	10	4–6	40%	-0.01
cache	B	6	3–3	50%	0.01
inferno	D	6	1–5	17%	0.01
anubis	B	6	3–3	50%	0.00
vertigo	—	3	0–3	0%	-0.02
office	—	1	0–1	0%	-0.04
boulder	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

138Matches

59%Win rate

0.97Avg K/D

71.5ADR

46%Headshot %

Clutches & streaks

44%1v1 clutch win

29%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	38	55%	1.05	14.7
Ancient	35	63%	0.94	14.5
Anubis	34	68%	0.97	15.0
Nuke	16	50%	0.89	12.9
Overpass	6	33%	0.73	14.8
Mirage	5	60%	0.91	13.8
Inferno	4	75%	1.12	18.3

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.

14.0%Headshot accuracy

34.6%Accuracy (enemy spotted)

40.4%Spray accuracy

67.9%Counter-strafing

10.4°Preaim

516msReaction time

38.1%T opening success

36.5%CT opening success

0.53Enemies flashed / flash

5.7%Flash assists

8.58HE damage / grenade

14.12Flashes / 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 14.0425% — 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 38.0989% — 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.

17% win rate across 6 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	13–11	0.02	5%	28 Aug →
cache	13–8	0.07	10%	28 Aug →
nuke	13–11	-0.08	4%	28 Aug →
dust2	13–10	0.03	14%	28 Aug →
cache	4–13	-0.00	8%	28 Aug →
ancient	3–13	-0.05	14%	28 Aug →
mirage	2–13	-0.03	7%	28 Aug →
dust2	6–13	-0.04	18%	28 Aug →
ancient	8–13	-0.01	19%	27 Aug →
cache	13–7	0.04	17%	27 Aug →
inferno	5–13	0.02	14%	27 Aug →
mirage	4–13	-0.01	14%	27 Aug →
dust2	11–13	-0.01	2%	27 Aug →
mirage	12–12	0.01	9%	27 Aug →
dust2	13–11	-0.02	8%	27 Aug →
dust2	13–11	0.05	19%	26 Aug →
dust2	3–13	-0.03	20%	26 Aug →
inferno	11–13	-0.04	17%	26 Aug →
ancient	5–13	-0.00	14%	26 Aug →
dust2	2–13	0.01	14%	26 Aug →
anubis	13–10	0.09	8%	26 Aug →
dust2	13–4	0.04	18%	26 Aug →
ancient	13–9	0.02	21%	25 Aug →
dust2	13–6	0.03	12%	25 Aug →
mirage	13–5	-0.06	10%	25 Aug →
dust2	13–10	-0.07	18%	25 Aug →
inferno	13–4	0.13	26%	23 Aug →
mirage	3–13	0.02	40%	22 Aug →
inferno	7–13	0.03	12%	22 Aug →
dust2	13–5	0.02	21%	22 Aug →
ancient	1–13	-0.05	12%	22 Aug →
dust2	7–13	0.02	10%	22 Aug →
nuke	12–12	0.04	23%	22 Aug →
dust2	5–13	-0.05	12%	22 Aug →
vertigo	6–13	-0.03	6%	20 Aug →
ancient	13–7	0.07	13%	20 Aug →
anubis	4–13	-0.04	7%	20 Aug →
dust2	11–13	0.09	19%	20 Aug →
dust2	13–6	0.00	13%	20 Aug →
cache	12–12	-0.01	17%	19 Aug →
dust2	7–1	0.00	16%	19 Aug →
dust2	8–13	0.03	16%	19 Aug →
dust2	12–12	0.02	20%	19 Aug →
inferno	11–13	-0.04	16%	19 Aug →
office	10–13	-0.04	9%	19 Aug →
dust2	8–2	0.08	26%	19 Aug →
dust2	12–12	0.03	8%	19 Aug →
ancient	1–9	-0.05	16%	19 Aug →
dust2	10–13	0.06	13%	18 Aug →
anubis	7–13	0.03	13%	18 Aug →
dust2	6–13	0.01	17%	18 Aug →
ancient	8–13	0.04	8%	10 Aug →
nuke	13–6	0.05	15%	10 Aug →
dust2	6–13	0.02	22%	10 Aug →
ancient	13–16	0.01	10%	8 Aug →
cache	3–13	-0.04	5%	8 Aug →
dust2	11–13	-0.01	19%	8 Aug →
anubis	13–7	-0.04	6%	6 Aug →
dust2	2–13	-0.05	6%	6 Aug →
anubis	13–11	-0.01	10%	6 Aug →
ancient	13–9	0.08	11%	5 Aug →
dust2	9–13	-0.02	15%	5 Aug →
ancient	13–10	0.16	12%	3 Aug →
mirage	8–13	0.05	9%	2 Aug →
boulder	8–13	0.02	12%	2 Aug →
vertigo	8–10	0.04	13%	2 Aug →
dust2	3–13	0.01	10%	2 Aug →
dust2	13–11	0.07	9%	1 Aug →
nuke	11–13	-0.02	10%	1 Aug →
dust2	13–7	-0.07	24%	1 Aug →
mirage	13–7	0.01	18%	1 Aug →
vertigo	2–13	-0.07	17%	31 Jul →
dust2	3–13	-0.02	20%	31 Jul →
ancient	13–11	0.03	23%	30 Jul →
ancient	13–2	0.08	9%	30 Jul →
nuke	13–4	0.01	10%	30 Jul →
dust2	10–13	0.00	28%	30 Jul →
nuke	13–4	0.13	22%	30 Jul →
mirage	9–13	-0.05	12%	30 Jul →
dust2	12–12	-0.03	29%	30 Jul →
dust2	7–13	0.02	15%	30 Jul →
dust2	13–4	-0.04	24%	28 Jul →
ancient	8–13	-0.07	11%	28 Jul →
dust2	6–13	-0.08	15%	28 Jul →
inferno	5–13	-0.05	5%	28 Jul →
mirage	13–11	0.01	15%	28 Jul →
anubis	9–13	-0.03	17%	27 Jul →
dust2	13–8	0.03	27%	27 Jul →
dust2	15–15	-0.01	19%	27 Jul →
dust2	11–13	-0.03	12%	26 Jul →
ancient	11–13	-0.02	15%	26 Jul →
dust2	5–13	-0.02	12%	26 Jul →
nuke	13–10	-0.03	13%	26 Jul →
ancient	13–9	0.06	13%	25 Jul →
nuke	7–13	-0.03	16%	25 Jul →
dust2	13–7	0.00	25%	25 Jul →
dust2	0–13	-0.05	0%	25 Jul →
nuke	13–9	0.01	15%	25 Jul →
mirage	13–2	-0.00	17%	25 Jul →
nuke	13–3	0.06	23%	25 Jul →