Figaro — CS2 Stats

AQ76561198043190750[U:1:82925022]Steam profile ↗✓ No bans

2,016Tracked matches41%Win rate2020Tracked since

CSDB Rating6.0 SolidHybrid Rifler

Premier CS Rating26,913Top 10% of 44,590 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#2400 of 59491 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

26,913Peak Premier on CSDB

1Days observed since 2026-08-31

Premier CS Rating

At peak — 26,913
Next: Gold band at 30,000 — 3,087 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-31
Pink band first seen 2026-08-31

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim82

Positioning48

Utility55

0–100 skill scores via Leetify.

Recent form

COLD42–52–6Last 10042%Win rateLWLWLLLLWL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

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

Aim8.2

Aggression5.7

Utility5.5

Positioning4.8

Opening Duels1.7

Clutch0.0

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 91% playstyle similarity

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

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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

Aim8.2

Positioning4.8

Utility5.5

Mechanics7.2

Opening Duels1.7

Win Impact2.1

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time547ms−26ms

first ⅓ avg 573ms → last ⅓ avg 547ms

Headshot accuracy23.7%−2.4%

first ⅓ avg 26.2% → last ⅓ avg 23.7%

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 — nuke 13–1

13–1Biggest win — nuke

8Longest win streak

5–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 67% over 9infernoWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	16	6–10	38%	0.01
nuke	C	16	7–9	44%	0.01
inferno	D	13	2–11	15%	0.01
anubis	C	13	5–8	38%	-0.00
mirage	B	11	5–6	45%	-0.00
ancient	S	9	6–3	67%	0.01
cache	A	7	4–3	57%	0.03
vertigo	—	4	2–2	50%	0.02
office	—	3	1–2	33%	0.01
overpass	—	3	1–2	33%	0.02
train	—	2	1–1	50%	0.01
sanctum	—	1	0–1	0%	-0.17
stronghold	—	1	1–0	100%	0.02
alpine	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

832Matches

55%Win rate

1.10Avg K/D

86.5ADR

58%Headshot %

Clutches & streaks

12%1v1 clutch win

36%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	53	57%	0.96	14.5
Ancient	23	39%	0.97	15.1
Anubis	22	50%	1.14	15.3
Nuke	13	69%	1.17	15.5
Vertigo	12	83%	1.07	15.3
Overpass	10	30%	0.86	13.8
Inferno	8	38%	0.87	14.0
Dust2	2	50%	0.90	16.0

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.

23.3%Headshot accuracy

33.9%Accuracy (enemy spotted)

36.1%Spray accuracy

82.3%Counter-strafing

8.3°Preaim

545msReaction time

33.9%T opening success

39.4%CT opening success

0.50Enemies flashed / flash

4.9%Flash assists

11.02HE damage / grenade

11.28Flashes / 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 33.9326% — below the 40% mark we flag

Spend your practice time on Inferno

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	6–13	-0.00	31%	29 Aug →
ancient	13–7	0.08	20%	29 Aug →
inferno	10–13	0.01	28%	29 Aug →
anubis	13–10	0.04	19%	29 Aug →
dust2	10–13	0.02	24%	29 Aug →
inferno	9–13	-0.02	22%	29 Aug →
cache	11–13	-0.00	12%	29 Aug →
mirage	10–13	0.01	15%	29 Aug →
dust2	13–11	-0.01	25%	29 Aug →
dust2	0–13	-0.13	0%	22 Aug →
nuke	13–2	-0.07	33%	21 Aug →
inferno	13–16	0.01	25%	20 Aug →
nuke	10–13	0.03	28%	20 Aug →
anubis	2–13	-0.11	22%	20 Aug →
inferno	0–13	-0.02	60%	20 Aug →
dust2	13–8	0.08	25%	16 Aug →
nuke	0–3	-0.07	25%	7 Aug →
cache	13–7	0.05	27%	7 Aug →
anubis	13–8	0.01	23%	7 Aug →
inferno	10–13	0.06	37%	7 Aug →
nuke	0–2	-0.10	0%	6 Aug →
dust2	13–7	0.04	22%	6 Aug →
anubis	15–15	0.04	13%	6 Aug →
nuke	10–13	-0.03	24%	6 Aug →
mirage	13–9	0.03	20%	3 Aug →
vertigo	13–11	0.01	21%	1 Aug →
office	10–13	0.01	22%	1 Aug →
nuke	9–13	0.07	21%	31 Jul →
mirage	13–7	0.03	21%	24 Jul →
nuke	13–7	-0.03	23%	24 Jul →
anubis	13–9	0.02	38%	22 Jul →
dust2	13–11	0.03	27%	17 Jul →
inferno	13–10	0.02	29%	17 Jul →
nuke	13–5	-0.01	18%	17 Jul →
anubis	13–8	0.04	11%	17 Jul →
anubis	3–13	-0.07	38%	5 Jul →
inferno	6–13	-0.01	23%	5 Jul →
nuke	13–10	0.10	19%	5 Jul →
dust2	10–13	0.04	26%	5 Jul →
mirage	8–13	0.02	24%	4 Jul →
ancient	12–16	0.00	20%	4 Jul →
anubis	13–4	0.05	23%	4 Jul →
inferno	8–13	0.04	24%	4 Jul →
ancient	1–4	-0.10	0%	4 Jul →
dust2	11–13	-0.01	27%	4 Jul →
nuke	13–5	0.01	36%	25 Jun →
anubis	1–13	-0.11	14%	25 Jun →
ancient	13–5	0.03	18%	25 Jun →
anubis	11–13	0.03	25%	23 Jun →
inferno	5–13	-0.04	13%	5 Jun →
mirage	5–13	-0.02	19%	5 Jun →
nuke	8–13	-0.04	27%	5 Jun →
sanctum	4–9	-0.17	23%	4 Jun →
mirage	12–12	0.02	24%	24 May →
vertigo	10–13	-0.06	21%	22 May →
train	13–4	0.04	22%	22 May →
mirage	1–6	-0.05	17%	14 May →
overpass	10–13	0.06	31%	14 May →
dust2	8–13	0.06	22%	14 May →
inferno	6–13	0.00	30%	14 May →
dust2	6–13	-0.02	26%	14 May →
ancient	5–13	-0.08	29%	14 May →
cache	13–4	0.02	38%	13 May →
vertigo	13–2	0.13	42%	13 May →
office	13–8	0.04	30%	13 May →
nuke	13–1	0.18	30%	13 May →
dust2	13–11	-0.03	18%	10 May →
mirage	13–5	-0.08	42%	10 May →
ancient	13–4	0.08	27%	3 May →
cache	13–3	0.06	41%	3 May →
anubis	10–13	-0.03	24%	3 May →
nuke	13–7	0.08	26%	3 May →
mirage	13–10	-0.00	27%	3 May →
cache	5–13	0.05	30%	30 Apr →
mirage	15–15	0.03	17%	30 Apr →
overpass	13–9	0.07	19%	30 Apr →
inferno	6–13	-0.02	23%	30 Apr →
dust2	5–13	0.01	24%	30 Apr →
nuke	5–13	0.06	24%	30 Apr →
ancient	13–8	0.05	17%	30 Apr →
nuke	5–13	-0.03	23%	29 Apr →
dust2	13–4	0.05	27%	29 Apr →
office	8–13	-0.01	24%	29 Apr →
stronghold	13–5	0.02	35%	29 Apr →
cache	13–11	0.06	35%	29 Apr →
train	11–13	-0.02	28%	27 Apr →
alpine	13–8	-0.00	29%	27 Apr →
mirage	13–9	-0.00	19%	27 Apr →
dust2	13–16	-0.02	25%	27 Apr →
dust2	9–13	0.06	31%	24 Apr →
anubis	8–13	0.05	37%	24 Apr →
overpass	8–13	-0.05	24%	24 Apr →
vertigo	12–12	-0.01	29%	19 Apr →
inferno	13–5	0.07	19%	19 Apr →
ancient	13–8	-0.01	18%	19 Apr →
nuke	12–12	0.00	30%	15 Apr →
inferno	12–12	-0.00	26%	15 Apr →
dust2	6–13	-0.06	30%	13 Apr →
ancient	13–5	0.05	23%	13 Apr →
anubis	4–13	0.01	10%	13 Apr →