bo — CS2 Stats

76561198001838461[U:1:41572733]Steam profile ↗✓ No bans

3,409Tracked matches53%Win rate2020Tracked since

CSDB Rating5.7 SolidAggressive Rifler

Premier CS Rating18,687Purple band · top ~13.7% of ranked players (population est.)

CSDB Leaderboard#9959 of 19726 tracked

FaceitLevel 9 · 2,024 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning56

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY40–57–3Last 10040%Win rateLLLWLWLWWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim7.2

Aggression7.5

Utility4.4

Positioning5.6

Opening Duels3.1

Clutch3.6

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 ropz 89% playstyle similarity

Most alike: opening-fight frequency, 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. 641ms 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

Aim7.2

Positioning5.6

Utility4.4

Mechanics5.6

Opening Duels3.1

Win Impact6.1

Composite 5.7/10 (Solid), 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 rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time649ms+46ms

first ⅓ avg 603ms → last ⅓ avg 649ms

Headshot accuracy20.8%−0.1%

first ⅓ avg 20.9% → last ⅓ avg 20.8%

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

0.33Best rating — cache 3–0

13–2Biggest win — inferno

6Longest win streak

L3Current streak

5–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 80% over 10ancientWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	29	10–19	34%	0.01
inferno	A	17	10–7	59%	0.01
dust2	D	16	4–12	25%	-0.00
ancient	D	15	3–12	20%	0.00
nuke	S	10	8–2	80%	-0.01
anubis	B	8	4–4	50%	0.01
overpass	—	3	1–2	33%	-0.01
mirage	—	2	0–2	0%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,132Matches

50%Win rate

1.16Avg K/D

81.8ADR

44%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	98	47%	1.13	17.1
Ancient	63	48%	1.16	16.7
Dust2	62	48%	1.03	16.2
Anubis	55	40%	1.07	16.0
Nuke	48	52%	1.03	16.3
Mirage	25	32%	0.99	16.2
Overpass	21	62%	1.49	18.4
Cache	13	46%	1.19	17.7

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.

20.3%Headshot accuracy

36.2%Accuracy (enemy spotted)

41.5%Spray accuracy

75.2%Counter-strafing

9.1°Preaim

641msReaction time

42.4%T opening success

42.0%CT opening success

0.58Enemies flashed / flash

6.1%Flash assists

7.75HE damage / grenade

3.78Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7825 — below the 4 mark we flag
Grenade Lineups →

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.

20% win rate across 15 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
ancient	10–13	-0.01	23%	26 Aug →
dust2	11–13	-0.02	27%	26 Aug →
cache	9–13	-0.02	16%	25 Aug →
inferno	13–3	-0.01	35%	17 Aug →
ancient	4–13	-0.05	12%	17 Aug →
nuke	13–11	-0.02	23%	16 Aug →
cache	10–13	0.04	19%	16 Aug →
ancient	13–4	-0.01	13%	14 Aug →
inferno	13–4	-0.02	12%	14 Aug →
ancient	4–13	0.01	29%	13 Aug →
inferno	13–6	0.02	18%	10 Aug →
cache	13–9	0.10	14%	10 Aug →
anubis	10–13	-0.03	24%	10 Aug →
nuke	13–11	-0.03	21%	6 Aug →
inferno	13–2	0.08	22%	6 Aug →
nuke	13–11	0.02	22%	6 Aug →
cache	9–13	-0.07	22%	6 Aug →
anubis	16–13	0.01	23%	4 Aug →
ancient	13–8	0.05	22%	4 Aug →
dust2	2–13	-0.02	19%	4 Aug →
cache	13–3	0.02	23%	4 Aug →
anubis	13–4	0.04	13%	3 Aug →
ancient	13–4	-0.03	2%	3 Aug →
dust2	13–16	0.04	19%	3 Aug →
cache	6–13	0.00	41%	2 Aug →
cache	3–13	-0.04	40%	2 Aug →
dust2	17–19	-0.02	17%	29 Jul →
inferno	13–11	-0.05	20%	29 Jul →
nuke	13–5	-0.09	17%	28 Jul →
inferno	15–19	-0.01	12%	19 Jul →
cache	7–13	-0.01	24%	19 Jul →
nuke	19–16	-0.00	26%	16 Jul →
dust2	13–4	0.00	19%	16 Jul →
cache	10–13	-0.05	23%	16 Jul →
inferno	13–5	0.09	29%	14 Jul →
inferno	13–5	0.02	30%	14 Jul →
ancient	10–13	0.01	11%	14 Jul →
ancient	15–15	0.03	21%	13 Jul →
dust2	13–9	0.09	19%	13 Jul →
cache	5–13	-0.00	13%	12 Jul →
ancient	7–13	-0.02	19%	12 Jul →
cache	11–13	-0.05	24%	12 Jul →
inferno	17–19	-0.03	35%	9 Jul →
dust2	14–16	-0.01	25%	5 Jul →
nuke	12–5	-0.02	19%	5 Jul →
cache	4–13	-0.05	29%	3 Jul →
cache	5–13	-0.03	22%	2 Jul →
cache	13–9	0.02	23%	1 Jul →
anubis	11–13	-0.06	12%	1 Jul →
overpass	1–13	-0.04	9%	1 Jul →
dust2	13–11	-0.03	22%	1 Jul →
cache	7–13	-0.02	15%	1 Jul →
inferno	11–13	0.02	17%	30 Jun →
ancient	10–13	-0.03	27%	30 Jun →
anubis	13–9	0.04	21%	30 Jun →
cache	13–8	0.01	18%	30 Jun →
ancient	6–13	0.02	12%	30 Jun →
anubis	16–13	0.04	33%	29 Jun →
inferno	13–7	0.03	25%	29 Jun →
cache	13–8	0.01	17%	29 Jun →
cache	13–4	-0.01	16%	29 Jun →
cache	13–10	-0.06	32%	29 Jun →
nuke	13–8	0.12	18%	28 Jun →
overpass	10–13	0.02	15%	28 Jun →
dust2	7–13	-0.03	21%	28 Jun →
mirage	10–13	0.03	16%	25 Jun →
inferno	11–6	0.07	12%	25 Jun →
anubis	6–13	-0.01	15%	24 Jun →
dust2	8–13	-0.02	21%	24 Jun →
dust2	13–6	0.10	15%	23 Jun →
inferno	6–13	-0.01	21%	23 Jun →
ancient	11–13	-0.03	17%	23 Jun →
anubis	15–15	0.03	11%	22 Jun →
cache	8–13	0.04	21%	22 Jun →
nuke	9–13	-0.04	20%	19 Jun →
inferno	10–13	0.01	15%	19 Jun →
inferno	13–6	0.03	28%	19 Jun →
nuke	13–8	-0.02	15%	19 Jun →
overpass	13–5	-0.02	4%	16 Jun →
inferno	5–13	-0.05	18%	16 Jun →
dust2	7–13	-0.04	19%	16 Jun →
cache	8–13	-0.00	24%	15 Jun →
ancient	11–13	0.06	17%	15 Jun →
inferno	8–13	-0.04	20%	14 Jun →
dust2	3–13	-0.09	19%	14 Jun →
cache	12–12	-0.02	18%	6 Jun →
cache	2–13	0.01	47%	6 Jun →
cache	8–13	0.01	8%	6 Jun →
cache	11–13	0.05	15%	5 Jun →
cache	3–0	0.33	54%	5 Jun →
dust2	8–13	0.01	26%	5 Jun →
cache	13–7	0.07	28%	5 Jun →
ancient	9–13	0.03	20%	5 Jun →
cache	9–13	-0.02	19%	2 Jun →
ancient	7–13	-0.02	14%	2 Jun →
dust2	9–13	-0.05	20%	1 Jun →
nuke	10–13	-0.00	37%	1 Jun →
cache	13–5	0.08	11%	1 Jun →
dust2	13–16	0.07	32%	31 May →
mirage	6–13	0.06	23%	31 May →