_I_LIKE_PIE_ — CS2 Stats

76561199017795912[U:1:1057530184]

904Tracked matches61%Win rate2024Tracked since

1,792Hours in CS18Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

FaceitLevel 6 · 1,275 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim60

Positioning50

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateLLLWWWWLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim6.0

Aggression5.2

Utility6.8

Positioning5.0

Opening Duels1.5

Clutch5.4

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 88% playstyle similarity

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

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. 599ms 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

Aim6.0

Positioning5.0

Utility6.8

Mechanics6.7

Opening Duels1.5

Win Impact8.6

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time600ms−27ms

first ⅓ avg 628ms → last ⅓ avg 600ms

Headshot accuracy13.3%+2.1%

first ⅓ avg 11.2% → last ⅓ avg 13.3%

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

0.17Best rating — anubis 13–0

13–0Biggest win — mirage

9Longest win streak

L3Current streak

3–3In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 58% over 12ancientWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	25	14–11	56%	0.01
mirage	A	22	12–10	55%	-0.00
inferno	A	12	7–5	58%	-0.01
nuke	B	12	6–6	50%	-0.02
ancient	C	11	4–7	36%	-0.01
anubis	B	6	3–3	50%	0.02
train	—	4	2–2	50%	0.02
overpass	—	4	1–3	25%	-0.02
vertigo	—	2	1–1	50%	0.01
cache	—	1	1–0	100%	-0.03
alpine	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,255Lifetime kills

1.13K/D · Top 50% of tracked players

3,416Matches

57.4%Match win rate · Top 5% of tracked players

34.2%Headshot %

4.1%Shot accuracy

3,690MVPs

1,045Hours (in match)

2,470Bombs planted

582Bombs defused

Most-used weapons

AK-4713,289

M4A4 / M4A1-S9,478

AWP4,695

Desert Eagle2,200

MP91,779

P2000 / USP-S1,590

SSG 081,298

Glock-18990

Galil AR784

MAC-10704

Lifetime map wins

4,640dust2

2,610inferno

2,538nuke

2,261vertigo

654train

54office

40italy

17assault

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

Faceit stats

Combat

61Matches

52%Win rate

1.06Avg K/D

75.5ADR

39%Headshot %

Clutches & streaks

47%1v1 clutch win

27%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	54%	0.90	12.7
Ancient	12	50%	1.00	12.8
Dust2	8	38%	0.92	12.5
Anubis	7	14%	0.94	12.3
Inferno	6	83%	1.25	16.2
Nuke	3	100%	3.00	17.0
Vertigo	1	100%	0.67	12.0

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.

13.0%Headshot accuracy

35.2%Accuracy (enemy spotted)

38.0%Spray accuracy

80.2%Counter-strafing

11.2°Preaim

599msReaction time

30.4%T opening success

41.7%CT opening success

0.63Enemies flashed / flash

9.1%Flash assists

9.85HE damage / grenade

13.07Flashes / 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 12.9921% — 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 30.3848% — 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.

36% win rate across 11 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
dust2	11–13	0.01	13%	26 Aug →
dust2	0–5	-0.04	14%	26 Aug →
mirage	10–13	-0.04	14%	26 Aug →
dust2	13–8	0.04	9%	26 Aug →
mirage	13–8	0.08	8%	25 Aug →
inferno	13–4	0.04	10%	25 Aug →
mirage	13–8	-0.03	7%	21 Aug →
train	4–13	0.02	21%	20 Aug →
dust2	13–2	-0.05	13%	20 Aug →
dust2	13–9	0.04	11%	19 Aug →
nuke	7–13	-0.05	12%	14 Aug →
dust2	13–5	0.03	15%	14 Aug →
ancient	10–13	0.02	14%	12 Aug →
nuke	7–13	-0.04	9%	11 Aug →
mirage	5–13	0.00	11%	3 Aug →
ancient	10–13	-0.07	9%	18 Jul →
mirage	13–0	0.00	31%	16 Jul →
dust2	12–12	-0.01	13%	16 Jul →
dust2	13–9	-0.03	22%	8 Jul →
anubis	12–12	0.03	16%	8 Jul →
inferno	11–13	-0.06	12%	22 Jun →
dust2	13–6	-0.01	19%	22 Jun →
mirage	13–4	0.00	14%	18 Jun →
dust2	6–0	0.00	17%	18 Jun →
train	6–13	0.03	2%	17 Jun →
inferno	13–9	0.02	16%	25 May →
ancient	13–9	-0.01	16%	13 May →
mirage	13–11	-0.01	14%	13 May →
dust2	13–9	-0.00	9%	11 May →
ancient	13–6	-0.05	8%	11 May →
cache	13–5	-0.03	8%	11 May →
dust2	13–0	0.09	18%	6 May →
ancient	13–4	0.06	13%	19 Apr →
dust2	8–1	0.03	22%	19 Apr →
alpine	5–13	-0.08	18%	19 Apr →
nuke	13–10	-0.02	17%	19 Apr →
anubis	8–13	-0.02	12%	19 Apr →
ancient	12–12	-0.00	13%	9 Apr →
nuke	13–10	0.05	14%	7 Apr →
inferno	7–13	-0.03	8%	5 Apr →
mirage	1–13	-0.09	7%	30 Mar →
train	13–2	0.01	17%	30 Mar →
inferno	9–0	0.02	8%	30 Mar →
nuke	13–6	0.03	9%	25 Mar →
dust2	4–13	-0.04	14%	25 Mar →
nuke	13–8	-0.02	10%	24 Mar →
ancient	15–15	0.06	10%	22 Mar →
mirage	13–7	0.00	12%	22 Mar →
dust2	13–2	-0.00	17%	22 Mar →
vertigo	13–10	0.02	20%	22 Mar →
mirage	13–11	0.05	10%	20 Mar →
dust2	13–2	0.02	4%	20 Mar →
dust2	1–9	0.00	9%	20 Mar →
anubis	13–0	0.17	14%	18 Mar →
dust2	13–4	0.12	18%	18 Mar →
nuke	3–13	-0.04	11%	18 Mar →
mirage	13–4	0.03	10%	18 Mar →
nuke	11–13	-0.04	14%	18 Mar →
dust2	12–12	-0.03	11%	13 Mar →
inferno	13–5	0.01	8%	13 Mar →
vertigo	12–12	0.01	19%	12 Mar →
inferno	13–9	0.05	16%	12 Mar →
inferno	13–3	-0.02	7%	11 Mar →
dust2	12–12	0.01	15%	11 Mar →
mirage	12–12	-0.01	13%	11 Mar →
overpass	12–12	-0.01	12%	11 Mar →
mirage	13–3	-0.02	7%	11 Mar →
anubis	13–10	0.04	8%	11 Mar →
dust2	9–13	0.03	13%	10 Mar →
nuke	13–9	0.06	9%	8 Mar →
overpass	16–13	0.01	12%	7 Mar →
overpass	9–13	-0.01	6%	5 Mar →
ancient	10–13	0.02	16%	5 Mar →
ancient	8–13	-0.06	9%	5 Mar →
mirage	8–13	-0.08	18%	5 Mar →
ancient	10–13	-0.03	6%	5 Mar →
dust2	8–13	-0.02	10%	4 Mar →
mirage	9–13	-0.03	13%	4 Mar →
nuke	13–11	-0.08	11%	4 Mar →
mirage	13–5	0.06	15%	4 Mar →
inferno	13–16	-0.05	21%	4 Mar →
nuke	10–13	-0.03	11%	4 Mar →
inferno	13–8	-0.01	2%	3 Mar →
dust2	13–8	-0.06	16%	3 Mar →
overpass	1–13	-0.08	6%	3 Mar →
dust2	9–13	0.08	16%	3 Mar →
dust2	10–13	0.08	21%	27 Feb →
mirage	9–13	0.05	14%	27 Feb →
train	13–8	0.02	17%	27 Feb →
anubis	13–6	-0.05	7%	26 Feb →
inferno	4–9	-0.09	0%	25 Feb →
mirage	4–13	-0.06	10%	25 Feb →
ancient	13–8	-0.01	5%	21 Feb →
mirage	13–10	-0.04	12%	21 Feb →
anubis	6–13	-0.06	9%	20 Feb →
nuke	1–8	-0.09	13%	12 Feb →
mirage	7–13	0.01	11%	12 Feb →
inferno	8–13	-0.07	9%	11 Feb →
mirage	2–13	-0.05	8%	8 Feb →
mirage	13–3	0.12	16%	8 Feb →