FLÖBÖ — CS2 Stats

FI76561198067158616[U:1:106892888]Steam profile ↗✓ No bans

326Tracked matches60%Win rate2020Tracked since

CSDB Rating5.4 DevelopingPassive Rifler

Premier CS Rating20,385Top 50% of 44,590 CSDB-tracked playersPink band · top ~8.1% of ranked players (population est.)

CSDB Leaderboard#20587 of 57645 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning41

Utility42

0–100 skill scores via Leetify.

Recent form

HOT51–45–4Last 10051%Win rateLWLWWWWWLW

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

Player DNA

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

Aim6.6

Aggression2.7

Utility4.2

Positioning4.1

Opening Duels0.0

Clutch4.0

Limited 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 NiKo 75% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 576ms 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

Positioning4.1

Utility4.2

Mechanics6.4

Opening Duels0.5

Win Impact8.3

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time592ms−29ms

first ⅓ avg 621ms → last ⅓ avg 592ms

Headshot accuracy13.3%−3.3%

first ⅓ avg 16.6% → last ⅓ avg 13.3%

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

0.08Best rating — vertigo 13–5

13–1Biggest win — nuke

5Longest win streak

4–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 71% over 7cacheWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	13–9	59%	-0.01
mirage	B	22	10–12	45%	-0.03
ancient	B	21	11–10	52%	-0.02
cache	C	13	5–8	38%	-0.02
anubis	S	7	5–2	71%	0.01
vertigo	A	7	4–3	57%	-0.01
train	—	4	2–2	50%	-0.02
dust2	—	1	0–1	0%	-0.03
inferno	—	1	0–1	0%	-0.02
office	—	1	1–0	100%	-0.01
overpass	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

72Matches

61%Win rate

0.90Avg K/D

67.8ADR

36%Headshot %

Clutches & streaks

40%1v1 clutch win

15%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	18	61%	0.98	15.9
Ancient	12	33%	0.80	11.5
Nuke	7	86%	0.88	13.3
Mirage	6	50%	0.90	14.5
Anubis	6	67%	0.96	16.3

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.

13.1%Headshot accuracy

36.0%Accuracy (enemy spotted)

39.7%Spray accuracy

78.6%Counter-strafing

10.4°Preaim

576msReaction time

21.0%T opening success

33.9%CT opening success

0.48Enemies flashed / flash

3.8%Flash assists

5.87HE damage / grenade

3.28Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.0707% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4809 — below the 0.5 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 21.0367% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	7–13	-0.03	15%	29 Aug →
nuke	13–7	0.02	21%	21 Aug →
mirage	1–13	-0.10	14%	15 Aug →
nuke	13–8	-0.03	9%	15 Aug →
ancient	13–9	-0.06	11%	15 Aug →
anubis	13–4	-0.00	24%	15 Aug →
vertigo	13–6	-0.07	8%	9 Aug →
mirage	13–3	0.04	14%	9 Aug →
ancient	6–13	-0.04	3%	8 Aug →
mirage	13–8	0.00	15%	8 Aug →
mirage	13–10	-0.04	6%	8 Aug →
mirage	0–13	-0.04	4%	7 Aug →
ancient	16–13	-0.01	15%	7 Aug →
mirage	5–13	-0.07	12%	7 Aug →
dust2	2–13	-0.03	23%	7 Aug →
ancient	13–3	-0.03	13%	7 Aug →
nuke	13–1	0.01	17%	7 Aug →
mirage	13–10	0.02	16%	6 Aug →
anubis	13–7	0.02	9%	6 Aug →
cache	9–13	0.01	27%	6 Aug →
nuke	13–3	0.03	17%	5 Aug →
anubis	13–1	-0.01	14%	5 Aug →
mirage	4–13	-0.03	17%	5 Aug →
ancient	13–9	-0.04	8%	4 Aug →
mirage	7–13	-0.03	16%	4 Aug →
ancient	11–13	-0.00	11%	4 Aug →
ancient	14–16	-0.05	11%	3 Aug →
nuke	13–7	-0.01	10%	3 Aug →
ancient	16–14	-0.06	9%	2 Aug →
inferno	13–16	-0.02	11%	2 Aug →
cache	2–13	-0.08	10%	2 Aug →
ancient	13–10	-0.06	10%	2 Aug →
ancient	13–9	0.00	19%	1 Aug →
ancient	13–7	0.03	15%	1 Aug →
mirage	7–13	-0.09	5%	1 Aug →
train	12–12	-0.00	18%	1 Aug →
vertigo	13–5	0.08	14%	1 Aug →
vertigo	6–13	-0.01	12%	1 Aug →
cache	9–13	-0.01	14%	1 Aug →
nuke	13–3	-0.05	29%	24 Jul →
mirage	13–6	-0.01	20%	24 Jul →
anubis	11–13	-0.01	19%	24 Jul →
mirage	13–4	-0.02	30%	24 Jul →
cache	6–13	-0.03	21%	24 Jul →
nuke	16–12	0.03	12%	24 Jul →
ancient	10–13	-0.01	16%	16 Jul →
nuke	14–16	-0.00	18%	15 Jul →
cache	13–9	0.01	16%	15 Jul →
anubis	13–9	0.04	14%	15 Jul →
ancient	8–13	-0.05	15%	15 Jul →
cache	10–13	0.00	22%	14 Jul →
nuke	13–3	0.08	20%	14 Jul →
nuke	11–13	-0.04	22%	13 Jul →
ancient	13–11	0.03	17%	13 Jul →
mirage	13–3	-0.01	11%	13 Jul →
nuke	9–13	0.03	21%	13 Jul →
anubis	13–5	0.02	23%	13 Jul →
cache	13–9	-0.04	14%	13 Jul →
mirage	13–10	0.03	15%	13 Jul →
ancient	6–13	0.00	19%	13 Jul →
nuke	13–7	-0.02	13%	13 Jul →
cache	7–13	-0.03	16%	13 Jul →
mirage	13–8	-0.01	16%	10 Jul →
nuke	8–13	0.07	21%	3 Jul →
mirage	11–13	-0.06	12%	3 Jul →
nuke	13–10	-0.02	20%	3 Jul →
cache	13–10	-0.02	16%	9 May →
nuke	13–4	0.02	17%	6 May →
ancient	6–13	-0.04	7%	5 May →
anubis	4–13	-0.00	2%	5 May →
mirage	5–13	-0.08	21%	5 May →
ancient	1–13	-0.07	20%	5 May →
nuke	10–13	-0.03	15%	5 May →
train	13–11	-0.02	14%	5 May →
ancient	13–1	0.04	20%	5 May →
vertigo	13–8	0.05	13%	5 May →
cache	0–13	-0.01	19%	2 May →
mirage	5–13	-0.01	17%	2 May →
ancient	12–12	-0.01	25%	1 May →
nuke	3–13	-0.07	11%	1 May →
vertigo	7–13	-0.02	22%	1 May →
office	13–10	-0.01	15%	1 May →
nuke	4–13	-0.11	15%	1 May →
vertigo	13–3	-0.04	12%	1 May →
mirage	7–13	-0.06	19%	1 May →
train	13–8	-0.01	16%	1 May →
cache	13–10	-0.05	17%	1 May →
cache	7–13	-0.04	14%	29 Apr →
cache	13–11	-0.01	19%	29 Apr →
mirage	13–7	-0.05	13%	28 Apr →
ancient	13–7	-0.02	23%	27 Apr →
nuke	13–6	-0.01	21%	27 Apr →
nuke	2–13	0.01	34%	27 Apr →
vertigo	12–12	-0.05	12%	26 Apr →
train	3–13	-0.05	4%	26 Apr →
nuke	13–2	-0.02	31%	26 Apr →
ancient	3–13	-0.08	10%	26 Apr →
mirage	15–15	-0.04	18%	8 Mar →
overpass	7–13	-0.00	13%	8 Mar →
mirage	4–13	-0.02	18%	8 Mar →