ᵈᵒⁿ´ᵗ♿ Freeone.<3 — CS2 Stats

DE76561198087417201[U:1:127151473]Steam profile ↗✓ No bans

1,913Tracked matches48%Win rate2020Tracked since

2,318Hours in CS

CSDB Rating5.3 DevelopingAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim71

Positioning50

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWLWWLLWWLW

Last 10 vs previous 10: +30pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.1

Aggression7.3

Utility4.1

Positioning5.0

Opening Duels3.0

Clutch10.0

Limited utility dependenceReliable in 1v1s

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 b1t 88% 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. 617ms 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

Aim7.1

Positioning5.0

Utility4.1

Mechanics5.7

Opening Duels3.0

Win Impact4.4

Composite 5.3/10 (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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time653ms+47ms

first ⅓ avg 606ms → last ⅓ avg 653ms

Headshot accuracy20.4%−4.4%

first ⅓ avg 24.7% → last ⅓ avg 20.4%

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

0.18Best rating — dust2 11–13

13–2Biggest win — mirage

6Longest win streak

8–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

vertigoBest map · 80% over 5overpassWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	15–14	52%	0.00
dust2	B	22	11–11	50%	-0.00
inferno	C	11	4–7	36%	-0.01
overpass	D	11	3–8	27%	-0.01
nuke	S	7	5–2	71%	-0.02
anubis	B	6	3–3	50%	0.03
ancient	A	5	3–2	60%	-0.01
vertigo	S	5	4–1	80%	-0.00
cache	—	3	2–1	67%	0.04
train	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

116,220Lifetime kills

1.13K/D · Top 50% of tracked players

6,281Matches

51.3%Match win rate · Top 25% of tracked players

37.2%Headshot %

16.6%Shot accuracy · Top 25% of tracked players

15,228MVPs

2,318Hours (in match)

6,203Bombs planted

1,261Bombs defused

Most-used weapons

AWP28,113

AK-4725,445

M4A4 / M4A1-S16,064

Glock-186,868

P2000 / USP-S6,265

Desert Eagle6,211

Five-SeveN3,260

P902,574

UMP-452,336

SG 5532,283

Lifetime map wins

10,153dust2

4,362cbble

2,760nuke

2,742inferno

2,044vertigo

1,011train

322office

318italy

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

Faceit stats

Combat

19Matches

89%Win rate

1.70Avg K/D

89.3ADR

36%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	67%	0.98	18.3
Cache	2	100%	1.44	23.0
Anubis	1	100%	1.12	19.0
Overpass	1	100%	1.17	14.0

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.

20.1%Headshot accuracy

36.7%Accuracy (enemy spotted)

35.8%Spray accuracy

75.6%Counter-strafing

9.1°Preaim

617msReaction time

36.3%T opening success

47.9%CT opening success

0.59Enemies flashed / flash

5.6%Flash assists

8.16HE damage / grenade

4.24Flashes / 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 36.3185% — below the 40% mark we flag

Spend your practice time on Overpass

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	16–13	-0.02	13%	26 Jul →
ancient	12–16	-0.03	27%	20 Jul →
cache	16–13	-0.01	23%	10 Jul →
mirage	13–10	0.01	19%	9 Jul →
cache	8–13	-0.01	6%	8 Jul →
inferno	2–9	-0.23	25%	23 Jun →
dust2	13–7	-0.03	24%	19 Jun →
ancient	13–5	0.01	41%	19 Jun →
overpass	6–13	-0.03	44%	19 Jun →
mirage	13–10	0.08	23%	19 Jun →
mirage	6–13	0.03	26%	19 Jun →
nuke	8–13	-0.05	30%	19 Jun →
anubis	5–13	-0.03	14%	19 Jun →
overpass	13–3	0.00	11%	24 May →
vertigo	4–3	-0.08	27%	24 May →
inferno	5–9	0.10	31%	24 May →
anubis	10–13	0.06	28%	24 May →
inferno	4–9	0.10	25%	24 May →
mirage	13–3	0.02	15%	24 May →
mirage	11–13	0.04	17%	24 May →
overpass	6–13	-0.06	5%	24 May →
mirage	2–13	-0.01	6%	23 May →
dust2	13–9	0.03	17%	23 May →
train	7–13	0.07	30%	23 May →
overpass	3–13	0.06	15%	23 May →
cache	13–7	0.12	22%	23 May →
overpass	11–13	-0.02	10%	23 May →
nuke	13–8	-0.02	14%	22 May →
dust2	15–15	-0.04	12%	22 May →
inferno	9–2	0.03	11%	22 May →
inferno	9–3	0.06	28%	22 May →
dust2	11–13	0.18	19%	22 May →
dust2	13–8	0.05	15%	22 May →
ancient	6–13	-0.01	19%	22 May →
nuke	13–8	-0.05	17%	15 May →
anubis	13–10	0.01	40%	7 May →
vertigo	9–4	0.08	13%	26 Apr →
vertigo	9–4	0.15	26%	26 Apr →
vertigo	9–7	-0.02	27%	26 Apr →
nuke	7–9	-0.08	30%	26 Apr →
vertigo	1–9	-0.12	31%	26 Apr →
inferno	0–9	-0.20	100%	26 Apr →
nuke	9–3	0.04	16%	26 Apr →
inferno	14–16	-0.03	18%	25 Apr →
mirage	13–10	0.05	36%	25 Apr →
mirage	13–8	0.03	20%	25 Apr →
mirage	5–13	0.02	32%	25 Apr →
dust2	8–13	0.12	18%	25 Apr →
inferno	3–9	-0.01	20%	16 Apr →
mirage	12–16	-0.04	34%	16 Apr →
dust2	9–13	-0.08	15%	16 Apr →
nuke	13–8	-0.03	15%	26 Mar →
dust2	13–11	-0.04	23%	26 Mar →
overpass	9–13	0.04	11%	25 Mar →
mirage	13–7	0.03	11%	25 Mar →
mirage	13–10	-0.01	40%	25 Mar →
dust2	13–8	0.03	15%	21 Mar →
dust2	16–14	-0.02	18%	20 Mar →
dust2	9–13	0.01	23%	20 Mar →
mirage	11–13	0.01	15%	19 Mar →
overpass	13–16	-0.01	12%	18 Mar →
dust2	10–13	-0.08	18%	17 Mar →
mirage	13–11	-0.02	10%	12 Mar →
mirage	8–13	-0.01	18%	11 Mar →
ancient	13–9	-0.05	21%	11 Mar →
dust2	16–12	-0.00	15%	5 Mar →
overpass	10–13	0.00	21%	5 Mar →
dust2	13–10	0.02	24%	5 Mar →
anubis	13–5	-0.02	13%	4 Mar →
nuke	13–6	0.04	18%	4 Mar →
overpass	11–13	-0.04	25%	4 Mar →
dust2	5–13	-0.08	27%	3 Mar →
overpass	13–4	0.03	10%	27 Feb →
dust2	6–13	-0.06	21%	27 Feb →
dust2	13–4	0.09	23%	19 Feb →
inferno	9–2	0.12	50%	12 Feb →
mirage	10–13	-0.05	39%	12 Feb →
dust2	3–13	-0.06	25%	12 Feb →
anubis	13–10	0.13	22%	12 Feb →
mirage	11–13	-0.00	14%	11 Feb →
inferno	7–13	-0.04	29%	11 Feb →
dust2	7–13	-0.02	35%	11 Feb →
dust2	13–8	0.06	41%	11 Feb →
mirage	6–13	-0.04	14%	11 Feb →
overpass	13–10	-0.03	33%	8 Feb →
mirage	5–13	-0.09	50%	8 Feb →
mirage	14–16	-0.02	11%	7 Feb →
mirage	13–11	-0.05	16%	7 Feb →
mirage	15–15	0.01	16%	1 Feb →
dust2	13–6	-0.05	19%	1 Feb →
mirage	8–13	-0.04	29%	1 Feb →
dust2	11–13	-0.04	15%	1 Feb →
mirage	16–14	0.00	30%	1 Feb →
anubis	6–13	0.01	23%	27 Jan →
mirage	13–2	0.03	33%	25 Jan →
inferno	13–10	0.01	18%	25 Jan →
mirage	13–8	0.02	29%	25 Jan →
ancient	13–11	0.03	24%	25 Jan →
mirage	13–9	0.07	21%	19 Jan →
mirage	13–8	0.01	18%	18 Jan →