Filipiakojagoda — CS2 Stats

76561198191071214[U:1:230805486]

1,473Tracked matches41%Win rate2020Tracked since

2,667Hours in CS19Hrs last 2 wks

CSDB Rating4.5 DevelopingHybrid Rifler

WingmanGold Nova II

Ladder ranks via Leetify

Performance scores

Aim66

Positioning47

Utility45

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLLWLWLLLLW

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

Player DNA

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

Aim6.6

Aggression6.0

Utility4.5

Positioning4.7

Opening Duels1.7

Clutch4.6

Effective flashesLimited utility dependence

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 Twistzz 85% playstyle similarity

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

Where you differ: lower utility contribution; 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. 670ms 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

Aim6.6

Positioning4.7

Utility4.5

Mechanics6.6

Opening Duels1.7

Win Impact2.1

Composite 4.5/10 (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-0.01−0.04

first ⅓ avg 0.03 → last ⅓ avg -0.01

Reaction time675ms+40ms

first ⅓ avg 635ms → last ⅓ avg 675ms

Headshot accuracy28.9%+3.1%

first ⅓ avg 25.8% → last ⅓ avg 28.9%

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

0.32Best rating — inferno 9–0

13–0Biggest win — train

6Longest win streak

L2Current streak

14–9In matches decided by ≤2 rounds

19Overtime games

Map breakdown

nukeBest map · 65% over 20mirageWeakest map · 32% over 25

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	25	8–17	32%	-0.01
dust2	C	23	8–15	35%	-0.01
nuke	S	20	13–7	65%	0.02
inferno	C	15	6–9	40%	0.02
ancient	B	6	3–3	50%	0.00
cache	—	3	1–2	33%	0.03
train	—	3	1–2	33%	-0.01
overpass	—	3	1–2	33%	-0.05
anubis	—	1	1–0	100%	-0.05
vertigo	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 25). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,826Lifetime kills

0.99K/D

3,271Matches

47.3%Match win rate · Top 50% of tracked players

46.0%Headshot % · Top 50% of tracked players

15.0%Shot accuracy · Top 50% of tracked players

7,253MVPs

1,564Hours (in match)

2,849Bombs planted

853Bombs defused

Most-used weapons

AK-4723,902

M4A4 / M4A1-S9,974

AWP7,237

Desert Eagle5,004

P2000 / USP-S3,672

Glock-182,769

MP91,319

Galil AR1,248

FAMAS1,156

MAC-101,090

Lifetime map wins

7,643dust2

4,330inferno

2,527nuke

1,617train

1,398vertigo

275cbble

180office

11safehouse

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

Faceit stats

Combat

866Matches

50%Win rate

0.91Avg K/D

70.1ADR

45%Headshot %

Clutches & streaks

43%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	180	54%	0.92	13.9
Dust2	122	47%	0.98	14.3
Ancient	53	47%	0.89	14.5
Nuke	51	51%	0.89	14.5
Inferno	29	52%	0.97	15.7
Train	21	62%	0.77	13.4
Anubis	19	32%	0.81	11.7
Vertigo	15	53%	0.89	13.5

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.

26.9%Headshot accuracy

31.2%Accuracy (enemy spotted)

33.1%Spray accuracy

79.7%Counter-strafing

9.6°Preaim

670msReaction time

34.2%T opening success

39.6%CT opening success

0.71Enemies flashed / flash

11.6%Flash assists

5.44HE damage / grenade

3.42Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.4153 — below the 4 mark we flag
Grenade Lineups →
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 34.2037% — 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.

32% win rate across 25 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
mirage	9–13	0.04	41%	28 Jul →
nuke	9–13	-0.05	42%	2 Jul →
dust2	16–14	-0.01	21%	1 Jul →
mirage	11–13	-0.03	20%	1 Jul →
mirage	16–13	-0.08	27%	30 Jun →
nuke	12–16	-0.02	41%	30 Jun →
cache	10–13	-0.02	25%	22 May →
cache	0–5	0.02	100%	22 May →
inferno	7–13	-0.04	29%	17 May →
nuke	13–4	0.02	26%	23 Apr →
mirage	15–15	-0.01	22%	17 Apr →
dust2	11–13	0.01	22%	10 Apr →
anubis	16–14	-0.05	23%	13 Feb →
nuke	13–8	0.10	26%	10 Feb →
nuke	10–13	-0.02	18%	9 Jan →
nuke	16–14	-0.06	8%	7 Jan →
train	17–19	0.02	23%	4 Jan →
mirage	4–13	0.00	13%	4 Jan →
dust2	16–14	0.01	30%	28 Dec →
mirage	10–13	0.03	34%	28 Dec →
nuke	8–13	-0.05	29%	28 Dec →
dust2	8–13	-0.01	33%	28 Dec →
dust2	4–13	-0.00	31%	23 Dec →
dust2	2–13	-0.11	45%	23 Dec →
ancient	13–11	-0.01	24%	22 Dec →
mirage	13–11	0.00	38%	22 Dec →
mirage	11–13	-0.00	27%	22 Dec →
dust2	16–12	0.05	25%	22 Dec →
nuke	13–7	-0.02	11%	22 Dec →
nuke	16–14	-0.03	22%	21 Dec →
dust2	5–13	-0.00	20%	21 Dec →
mirage	5–13	0.01	25%	20 Dec →
mirage	7–13	-0.01	31%	20 Dec →
dust2	8–13	-0.04	18%	20 Dec →
mirage	16–14	-0.03	26%	18 Dec →
ancient	11–13	-0.04	33%	18 Dec →
train	11–13	-0.05	27%	18 Dec →
nuke	10–13	0.00	32%	18 Dec →
inferno	11–13	0.03	19%	17 Dec →
mirage	6–11	-0.07	36%	17 Dec →
train	13–0	-0.00	29%	17 Dec →
nuke	9–13	0.05	40%	16 Dec →
mirage	13–6	0.02	21%	16 Dec →
nuke	13–16	0.08	36%	14 Dec →
ancient	5–13	-0.02	48%	14 Dec →
mirage	6–13	-0.03	32%	10 Dec →
inferno	9–13	-0.00	25%	10 Dec →
nuke	13–8	-0.03	36%	9 Dec →
mirage	5–13	-0.08	26%	9 Dec →
mirage	10–13	-0.00	18%	4 Dec →
mirage	3–13	-0.03	42%	2 Dec →
mirage	3–6	-0.06	33%	2 Dec →
overpass	10–13	-0.08	25%	1 Dec →
inferno	6–13	-0.01	30%	30 Nov →
dust2	7–13	-0.04	28%	23 Nov →
inferno	13–8	-0.02	21%	22 Nov →
dust2	15–15	-0.02	42%	20 Nov →
dust2	13–11	-0.04	17%	16 Nov →
nuke	13–9	0.06	17%	15 Nov →
mirage	7–13	-0.01	15%	11 Nov →
dust2	10–13	-0.02	20%	11 Nov →
vertigo	12–12	-0.02	16%	10 Nov →
dust2	13–10	0.00	21%	10 Nov →
nuke	13–6	0.07	29%	10 Nov →
mirage	14–16	0.02	36%	9 Nov →
dust2	13–10	0.02	17%	9 Nov →
ancient	9–13	-0.05	45%	9 Nov →
inferno	13–16	0.04	35%	9 Nov →
dust2	1–13	-0.07	6%	9 Nov →
nuke	13–10	0.01	24%	8 Nov →
nuke	16–14	-0.04	53%	8 Nov →
overpass	16–14	-0.01	20%	7 Nov →
inferno	13–11	0.03	29%	6 Nov →
ancient	13–8	0.05	31%	6 Nov →
cache	13–6	0.09	22%	6 Nov →
dust2	13–16	0.02	40%	5 Nov →
inferno	2–13	-0.01	30%	5 Nov →
overpass	14–16	-0.06	11%	31 Oct →
inferno	13–9	0.00	16%	31 Oct →
mirage	13–11	0.05	21%	28 Oct →
inferno	13–3	-0.02	32%	27 Oct →
dust2	8–13	-0.03	25%	26 Oct →
dust2	8–13	0.04	33%	25 Oct →
inferno	13–9	0.06	36%	25 Oct →
dust2	13–7	0.03	18%	24 Oct →
inferno	12–12	0.01	29%	24 Oct →
ancient	13–3	0.07	29%	24 Oct →
mirage	13–6	0.08	18%	24 Oct →
nuke	13–2	0.06	45%	24 Oct →
dust2	13–4	-0.07	15%	24 Oct →
mirage	13–2	0.04	16%	24 Oct →
dust2	9–13	0.02	15%	23 Oct →
mirage	5–13	-0.04	11%	23 Oct →
nuke	9–2	0.14	29%	23 Oct →
inferno	9–0	0.32	56%	23 Oct →
mirage	13–11	-0.03	11%	19 Oct →
nuke	13–1	0.06	26%	19 Oct →
dust2	6–13	-0.00	4%	19 Oct →
inferno	9–13	-0.03	24%	14 Oct →
inferno	4–13	0.01	42%	13 Oct →