⟓ frøxN ⟔ — CS2 Stats

76561198991743314[U:1:1031477586]

3,047Tracked matches54%Win rate2023Tracked since

3,104Hours in CS29Hrs last 2 wks

CSDB Rating4.3 Developing

FaceitLevel 6 · 1,278 ELOTop 54.0% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim55

Positioning39

Utility55

0–100 skill scores via Leetify.

Recent form

HOT51–44–5Last 10051%Win rateLWWWWWLLWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim5.5

Aggression2.3

Utility5.5

Positioning3.9

Opening Duels1.2

Clutch3.2

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 80% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 56% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 688ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.5

Positioning3.9

Utility5.5

Mechanics3.8

Opening Duels3.2

Win Impact6.2

Composite 4.3/10 (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-0.05−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.05

Reaction time679ms−43ms

first ⅓ avg 722ms → last ⅓ avg 679ms

Headshot accuracy22.2%+8.4%

first ⅓ avg 13.8% → last ⅓ avg 22.2%

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

0.12Best rating — inferno 9–0

13–0Biggest win — dust2

7Longest win streak

3–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 67% over 24ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	33	14–19	42%	-0.02
inferno	S	24	16–8	67%	-0.03
nuke	C	12	5–7	42%	-0.05
anubis	A	8	5–3	63%	-0.02
cache	B	6	3–3	50%	-0.03
ancient	D	6	2–4	33%	-0.02
vertigo	—	4	3–1	75%	-0.00
overpass	—	1	1–0	100%	0.01
train	—	1	0–1	0%	-0.05
mirage	—	1	0–1	0%	0.01
boulder	—	1	1–0	100%	0.05
fachwerk	—	1	1–0	100%	-0.02
shelter	—	1	0–1	0%	-0.01
italy	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,623Lifetime kills

1.05K/D · Top 50% of tracked players

3,252Matches

45.3%Match win rate

35.8%Headshot %

0.8%Shot accuracy

6,291MVPs

1,246Hours (in match)

3,160Bombs planted

727Bombs defused

Most-used weapons

AK-4713,142

M4A4 / M4A1-S11,416

MP92,907

P2000 / USP-S2,710

FAMAS2,538

MP72,521

Glock-182,401

Galil AR2,361

MAC-102,354

XM10141,345

Lifetime map wins

6,447dust2

5,662inferno

3,365nuke

1,168vertigo

561train

472office

92italy

34aztec

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

Faceit stats

Combat

347Matches

54%Win rate

1.03Avg K/D

75.6ADR

34%Headshot %

Clutches & streaks

36%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	89	52%	1.06	14.6
Inferno	70	61%	1.02	13.7
Dust2	67	52%	0.99	13.3
Ancient	56	62%	1.08	15.0
Nuke	28	54%	1.03	14.4
Vertigo	18	39%	0.95	14.8
Mirage	14	50%	0.94	15.1
Overpass	3	0%	1.06	20.7

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.

17.4%Headshot accuracy

36.1%Accuracy (enemy spotted)

44.5%Spray accuracy

67.3%Counter-strafing

10.8°Preaim

688msReaction time

13.7%T opening success

55.9%CT opening success

0.60Enemies flashed / flash

3.1%Flash assists

7.59HE damage / grenade

14.31Flashes / 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
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 13.7271% — 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.

33% win rate across 6 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
nuke	6–8	-0.04	0%	28 Aug →
inferno	13–4	0.02	12%	28 Aug →
cache	13–10	0.02	22%	28 Aug →
dust2	9–4	0.07	16%	28 Aug →
dust2	13–9	-0.04	5%	28 Aug →
dust2	13–1	0.02	35%	27 Aug →
cache	11–13	-0.05	14%	27 Aug →
nuke	3–9	-0.21	100%	26 Aug →
inferno	9–2	-0.08	13%	26 Aug →
inferno	9–6	-0.13	21%	26 Aug →
inferno	9–0	0.07	21%	26 Aug →
dust2	13–1	-0.07	19%	26 Aug →
anubis	13–1	-0.01	33%	26 Aug →
dust2	13–0	-0.01	17%	26 Aug →
vertigo	6–13	-0.03	26%	25 Aug →
dust2	13–5	0.02	22%	25 Aug →
nuke	4–13	-0.08	25%	23 Aug →
dust2	13–11	-0.04	15%	22 Aug →
anubis	13–8	-0.05	14%	22 Aug →
inferno	4–13	-0.02	7%	22 Aug →
overpass	13–8	0.01	9%	22 Aug →
ancient	7–13	0.06	14%	22 Aug →
dust2	12–12	0.02	19%	22 Aug →
inferno	0–9	-0.19	31%	22 Aug →
inferno	7–9	-0.04	19%	22 Aug →
cache	13–4	-0.02	19%	21 Aug →
train	6–13	-0.05	40%	21 Aug →
dust2	2–13	-0.05	28%	21 Aug →
dust2	6–13	-0.04	14%	21 Aug →
inferno	9–6	-0.09	20%	20 Aug →
inferno	2–9	-0.24	10%	20 Aug →
inferno	2–9	-0.14	50%	20 Aug →
inferno	9–6	-0.08	25%	20 Aug →
inferno	9–5	-0.04	9%	20 Aug →
vertigo	9–1	-0.03	0%	20 Aug →
inferno	9–5	-0.09	22%	20 Aug →
inferno	9–5	-0.04	17%	20 Aug →
inferno	9–2	0.11	32%	20 Aug →
inferno	9–4	0.04	29%	20 Aug →
nuke	6–9	-0.16	10%	20 Aug →
inferno	9–1	-0.00	17%	20 Aug →
inferno	9–0	0.12	24%	20 Aug →
anubis	12–12	-0.06	11%	20 Aug →
dust2	1–10	-0.05	13%	20 Aug →
dust2	3–13	-0.05	29%	20 Aug →
inferno	13–8	0.02	17%	19 Aug →
cache	4–13	-0.06	13%	19 Aug →
vertigo	9–2	0.08	13%	18 Aug →
nuke	9–5	-0.02	27%	18 Aug →
dust2	11–13	0.05	14%	18 Aug →
nuke	9–4	0.01	17%	18 Aug →
inferno	9–2	0.08	19%	18 Aug →
ancient	13–6	0.01	12%	16 Aug →
mirage	12–12	0.01	12%	16 Aug →
dust2	13–7	-0.04	13%	16 Aug →
nuke	13–6	-0.05	9%	15 Aug →
inferno	5–13	-0.09	14%	15 Aug →
dust2	10–13	-0.05	21%	15 Aug →
boulder	13–1	0.05	10%	15 Aug →
fachwerk	13–3	-0.02	12%	15 Aug →
shelter	2–13	-0.01	19%	15 Aug →
dust2	5–13	-0.04	10%	13 Aug →
cache	13–8	-0.04	9%	13 Aug →
dust2	12–12	-0.08	17%	8 Aug →
cache	5–13	-0.06	14%	8 Aug →
ancient	13–11	-0.07	14%	8 Aug →
anubis	13–8	0.05	22%	8 Aug →
vertigo	13–3	-0.02	4%	8 Aug →
dust2	9–13	-0.05	8%	8 Aug →
italy	3–13	-0.10	14%	23 Jul →
dust2	2–13	-0.09	25%	23 Jul →
dust2	4–13	-0.04	38%	23 Jul →
dust2	11–13	-0.07	9%	23 Jul →
dust2	3–13	-0.04	18%	23 Jul →
inferno	14–16	-0.01	11%	17 Jul →
dust2	7–13	-0.06	11%	17 Jul →
anubis	13–10	0.03	10%	17 Jul →
dust2	11–13	-0.01	11%	11 Jul →
nuke	9–13	-0.02	18%	27 Mar →
dust2	13–11	-0.09	11%	27 Mar →
dust2	13–6	0.04	13%	27 Mar →
ancient	8–13	-0.04	18%	21 Mar →
nuke	13–10	0.05	17%	21 Mar →
dust2	8–13	-0.01	16%	21 Mar →
anubis	4–13	-0.07	3%	21 Mar →
dust2	13–9	0.01	8%	21 Mar →
ancient	6–13	-0.03	20%	21 Mar →
nuke	10–13	-0.06	11%	13 Mar →
anubis	4–13	-0.07	17%	13 Mar →
dust2	13–6	-0.01	13%	13 Mar →
ancient	3–13	-0.04	8%	13 Mar →
anubis	13–9	0.04	17%	6 Mar →
inferno	3–13	-0.07	20%	6 Mar →
dust2	13–8	0.08	21%	6 Mar →
dust2	15–15	-0.00	10%	27 Feb →
nuke	13–6	-0.04	14%	27 Feb →
dust2	8–13	-0.04	13%	27 Feb →
inferno	13–7	0.05	9%	27 Feb →
dust2	13–2	0.05	11%	27 Feb →
nuke	12–16	-0.02	10%	27 Feb →