Ferran — CS2 Stats

BA76561198947200160[U:1:986934432]Steam profile ↗✓ No bans

3,127Tracked matches40%Win rate2020Tracked since

3,348Hours in CS29Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

FaceitLevel 9 · 1,757 ELOTop 20.7% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 9 median	Level 10 median	vs Level 10
Headshot rate	57.8%	48.5%	51.9%	above
Shot accuracy	12.4%	13.3%	13.7%	1.3% short
Kill/death ratio	1.28	1.07	1.08	above
Match win rate	47.8%	47.0%	48.7%	meets

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim79

Positioning62

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLWWLLWWLLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

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

Aim7.9

Aggression8.8

Utility6.5

Positioning6.2

Opening Duels4.3

Clutch3.8

Strong CT-side opener

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 device 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 59% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9

Positioning6.2

Utility6.5

Mechanics6.0

Opening Duels4.3

Win Impact1.7

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time545ms−68ms

first ⅓ avg 613ms → last ⅓ avg 545ms

Headshot accuracy27.4%+0.9%

first ⅓ avg 26.5% → last ⅓ avg 27.4%

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

0.15Best rating — anubis 13–7

13–0Biggest win — cache

5Longest win streak

9–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 67% over 6dust2Weakest map · 40% over 25

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	10–15	40%	0.03
mirage	B	24	13–11	54%	0.00
cache	A	13	8–5	62%	0.02
inferno	B	10	5–5	50%	0.00
anubis	A	9	5–4	56%	0.01
ancient	C	7	3–4	43%	0.00
nuke	S	6	4–2	67%	0.06
vertigo	—	3	1–2	33%	0.03
train	—	2	0–2	0%	0.03
italy	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,056Lifetime kills

1.28K/D · Top 25% of Level 9 players

4,648Matches

47.8%Match win rate · Top 50% of Level 9 players

57.8%Headshot % · Top 25% of Level 9 players

12.4%Shot accuracy

14,338MVPs

1,884Hours (in match)

4,271Bombs planted

1,446Bombs defused

Most-used weapons

AK-4742,324

M4A4 / M4A1-S17,790

Desert Eagle14,906

AWP6,420

P2000 / USP-S6,229

Glock-184,276

SG 5532,258

Galil AR1,882

SSG 081,822

FAMAS1,597

Lifetime map wins

6,546inferno

5,554dust2

4,327vertigo

3,592train

3,068nuke

444cbble

93office

32italy

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

Faceit stats

Combat

1,735Matches

50%Win rate

1.28Avg K/D

88.9ADR

53%Headshot %

Clutches & streaks

39%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	278	49%	1.26	17.3
Dust2	128	45%	1.19	17.2
Anubis	105	48%	1.24	18.3
Ancient	81	48%	1.26	18.2
Inferno	80	50%	1.18	17.6
Nuke	71	48%	1.41	20.0
Vertigo	57	56%	1.24	17.1
Overpass	22	50%	1.22	17.1

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.

26.8%Headshot accuracy

31.8%Accuracy (enemy spotted)

32.0%Spray accuracy

76.8%Counter-strafing

8.0°Preaim

539msReaction time

35.5%T opening success

58.6%CT opening success

0.58Enemies flashed / flash

5.9%Flash assists

11.20HE damage / grenade

11.57Flashes / 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 35.4929% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–16	0.03	16%	27 Aug →
anubis	13–11	0.02	22%	27 Aug →
inferno	13–10	0.02	21%	27 Aug →
dust2	11–13	0.00	25%	26 Aug →
inferno	11–13	-0.03	27%	26 Aug →
anubis	13–8	0.04	32%	26 Aug →
nuke	19–17	0.13	30%	25 Aug →
dust2	5–13	0.07	30%	25 Aug →
mirage	10–13	-0.01	23%	25 Aug →
mirage	17–19	0.01	24%	24 Aug →
cache	10–13	0.01	25%	24 Aug →
mirage	11–13	0.01	28%	21 Aug →
anubis	5–13	-0.05	32%	21 Aug →
mirage	7–13	-0.05	19%	21 Aug →
mirage	13–8	0.08	26%	21 Aug →
dust2	9–13	0.01	27%	21 Aug →
dust2	13–5	0.04	36%	21 Aug →
cache	7–13	0.01	30%	21 Aug →
dust2	10–13	0.08	25%	20 Aug →
inferno	13–9	0.03	31%	20 Aug →
mirage	11–13	-0.00	22%	20 Aug →
dust2	13–6	0.08	30%	19 Aug →
ancient	11–13	-0.04	18%	19 Aug →
italy	13–4	0.06	48%	19 Aug →
cache	7–13	0.03	30%	18 Aug →
dust2	11–13	-0.00	29%	18 Aug →
nuke	7–13	0.05	46%	18 Aug →
mirage	13–10	0.03	20%	17 Aug →
cache	13–10	0.06	20%	17 Aug →
nuke	13–7	0.08	27%	17 Aug →
mirage	13–9	0.04	31%	17 Aug →
nuke	25–23	0.03	19%	16 Aug →
anubis	10–13	-0.05	33%	16 Aug →
dust2	9–13	0.03	24%	16 Aug →
cache	13–11	-0.01	21%	16 Aug →
cache	13–6	0.09	25%	16 Aug →
inferno	10–13	0.02	25%	15 Aug →
dust2	8–13	-0.02	30%	14 Aug →
anubis	7–13	0.01	28%	14 Aug →
train	12–12	0.04	35%	13 Aug →
cache	13–8	0.01	22%	13 Aug →
vertigo	13–2	0.08	42%	13 Aug →
dust2	7–13	0.05	31%	12 Aug →
train	7–13	0.02	22%	12 Aug →
mirage	13–3	0.09	27%	11 Aug →
cache	1–13	-0.05	5%	9 Aug →
anubis	12–12	-0.05	19%	9 Aug →
dust2	12–12	0.07	37%	9 Aug →
mirage	8–13	-0.09	20%	8 Aug →
dust2	7–13	-0.01	29%	8 Aug →
cache	13–11	-0.02	37%	6 Aug →
dust2	13–10	0.07	36%	6 Aug →
mirage	13–16	-0.03	25%	4 Aug →
dust2	8–13	-0.01	36%	4 Aug →
inferno	13–4	-0.02	39%	4 Aug →
inferno	5–13	-0.05	13%	3 Aug →
ancient	5–13	-0.06	30%	3 Aug →
mirage	9–13	-0.00	31%	3 Aug →
vertigo	12–12	0.02	17%	2 Aug →
cache	13–7	0.04	58%	2 Aug →
nuke	13–4	0.04	33%	2 Aug →
mirage	13–10	0.00	14%	2 Aug →
inferno	10–13	-0.03	20%	1 Aug →
ancient	13–2	0.13	30%	31 Jul →
dust2	9–13	-0.01	19%	31 Jul →
dust2	13–10	-0.00	21%	30 Jul →
anubis	13–7	-0.03	19%	30 Jul →
nuke	9–13	0.05	31%	29 Jul →
mirage	13–11	0.03	19%	29 Jul →
dust2	6–13	0.03	20%	29 Jul →
cache	15–15	-0.04	10%	29 Jul →
dust2	6–13	-0.05	34%	27 Jul →
cache	13–10	0.08	31%	27 Jul →
mirage	13–3	0.02	24%	26 Jul →
ancient	13–11	-0.02	16%	26 Jul →
mirage	6–13	-0.01	29%	25 Jul →
dust2	13–4	0.12	23%	25 Jul →
mirage	13–8	0.02	22%	25 Jul →
anubis	13–9	0.09	17%	25 Jul →
dust2	11–13	-0.00	24%	23 Jul →
dust2	13–1	0.11	53%	23 Jul →
ancient	13–8	0.03	34%	23 Jul →
ancient	11–13	-0.02	25%	23 Jul →
mirage	13–9	0.01	21%	22 Jul →
mirage	13–8	-0.03	24%	21 Jul →
mirage	13–8	-0.01	25%	20 Jul →
dust2	13–3	0.09	25%	20 Jul →
mirage	13–2	0.05	35%	20 Jul →
mirage	6–13	-0.03	23%	16 Jul →
dust2	13–3	0.00	41%	16 Jul →
dust2	13–3	0.04	30%	16 Jul →
cache	13–0	0.00	20%	16 Jul →
vertigo	8–13	-0.01	32%	16 Jul →
mirage	13–11	-0.01	21%	16 Jul →
ancient	11–13	-0.00	27%	15 Jul →
inferno	13–10	0.02	26%	15 Jul →
dust2	13–10	0.06	34%	15 Jul →
inferno	16–14	0.02	23%	15 Jul →
mirage	10–13	-0.00	31%	14 Jul →
anubis	13–7	0.15	22%	14 Jul →