cvb — CS2 Stats

FJ76561198057721743[U:1:97456015]Steam profile ↗✓ No bans

1,159Tracked matches55%Win rate2020Tracked since

6,293Hours in CS4Hrs last 2 wks

CSDB Rating5.9 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim68

Positioning52

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateWLWWWLLWLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim6.8

Aggression6.8

Utility5.8

Positioning5.2

Opening Duels2.7

Clutch3.6

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 Twistzz 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

T-side openings. Opening success drops from 51% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim6.8

Positioning5.2

Utility5.8

Mechanics6.5

Opening Duels2.7

Win Impact6.7

Composite 5.9/10 (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 rating0.00−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time591ms−2ms

first ⅓ avg 593ms → last ⅓ avg 591ms

Headshot accuracy22.6%+0.1%

first ⅓ avg 22.5% → last ⅓ avg 22.6%

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 — train 13–9

13–0Biggest win — ancient

6Longest win streak

11–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 77% over 13anubisWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
anubis	D	16	5–11	31%	0.02
dust2	A	14	9–5	64%	0.01
cache	B	14	7–7	50%	0.02
inferno	S	13	10–3	77%	0.02
mirage	C	13	5–8	38%	-0.00
ancient	B	10	5–5	50%	0.02
overpass	D	9	3–6	33%	-0.00
train	C	5	2–3	40%	0.06
nuke	C	5	2–3	40%	-0.00
vertigo	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

307,476Lifetime kills

0.85K/D

8,254Matches

39.9%Match win rate

62.1%Headshot % · Top 10% of tracked players

14.7%Shot accuracy · Top 50% of tracked players

21,013MVPs

14,441Hours (in match)

5,668Bombs planted

2,151Bombs defused

Most-used weapons

AK-4798,640

M4A4 / M4A1-S51,191

P2000 / USP-S33,506

AWP29,252

Desert Eagle17,198

SG 55312,396

Glock-188,417

P2508,092

AUG5,792

Galil AR4,668

Lifetime map wins

9,607inferno

5,691nuke

5,427dust2

3,700vertigo

2,790train

724cbble

453office

354assault

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

Faceit stats

Combat

888Matches

51%Win rate

1.13Avg K/D

82.8ADR

50%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	47	47%	1.01	15.9
Ancient	42	57%	1.21	16.1
Inferno	38	39%	1.12	18.0
Nuke	36	58%	1.07	16.1
Anubis	33	61%	1.09	16.2
Dust2	26	62%	0.95	14.3
Overpass	20	55%	0.97	14.1
Vertigo	8	62%	1.01	16.9

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.

23.2%Headshot accuracy

28.8%Accuracy (enemy spotted)

34.7%Spray accuracy

79.3%Counter-strafing

9.3°Preaim

577msReaction time

30.4%T opening success

51.2%CT opening success

0.52Enemies flashed / flash

7.1%Flash assists

7.95HE damage / grenade

10.56Flashes / 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 30.4232% — below the 40% mark we flag

Spend your practice time on Anubis

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–4	0.03	21%	26 Aug →
train	8–13	0.06	21%	15 Aug →
train	13–2	0.07	20%	15 Aug →
dust2	16–12	-0.02	29%	14 Aug →
cache	13–11	0.02	25%	14 Aug →
mirage	3–13	0.01	34%	14 Aug →
anubis	8–13	-0.06	15%	12 Aug →
ancient	13–6	0.03	25%	12 Aug →
mirage	2–13	-0.06	11%	11 Aug →
dust2	13–10	0.01	30%	11 Aug →
inferno	3–9	-0.02	34%	8 Aug →
inferno	13–11	0.05	17%	7 Aug →
dust2	13–5	0.10	23%	7 Aug →
cache	10–13	-0.05	26%	5 Aug →
cache	13–10	0.01	25%	5 Aug →
vertigo	13–4	0.02	20%	4 Aug →
dust2	3–13	-0.06	22%	31 Jul →
anubis	16–12	0.01	29%	31 Jul →
anubis	5–13	-0.05	31%	29 Jul →
dust2	13–9	0.02	27%	28 Jul →
ancient	8–13	-0.04	19%	24 Jul →
dust2	8–13	-0.00	21%	24 Jul →
cache	6–2	-0.01	6%	24 Jul →
dust2	13–11	0.02	30%	22 Jul →
anubis	13–11	0.05	18%	21 Jul →
anubis	8–13	0.01	22%	21 Jul →
dust2	4–13	-0.05	31%	17 Jul →
cache	14–16	0.04	26%	15 Jul →
ancient	11–13	-0.01	10%	14 Jul →
cache	22–20	-0.03	22%	14 Jul →
cache	15–15	0.03	26%	10 Jul →
inferno	7–2	-0.08	14%	7 Jul →
cache	13–2	0.03	17%	7 Jul →
cache	13–3	0.08	23%	7 Jul →
dust2	19–17	-0.01	9%	1 Jul →
dust2	16–14	0.06	25%	27 Jun →
mirage	13–7	-0.01	23%	26 Jun →
cache	8–13	-0.05	6%	26 Jun →
train	12–12	-0.04	20%	18 Jun →
inferno	13–4	0.06	35%	16 Jun →
anubis	13–11	0.07	17%	16 Jun →
ancient	13–0	0.11	29%	16 Jun →
nuke	13–9	-0.01	23%	16 Jun →
inferno	13–7	0.05	17%	30 May →
overpass	4–13	-0.04	23%	29 May →
ancient	5–13	0.00	16%	29 May →
anubis	12–12	0.09	24%	27 May →
ancient	10–13	-0.04	28%	27 May →
nuke	7–13	-0.05	33%	27 May →
mirage	2–13	-0.09	42%	26 May →
dust2	13–10	0.01	23%	26 May →
overpass	7–13	0.07	25%	23 May →
inferno	5–13	0.03	21%	22 May →
mirage	13–5	0.06	22%	20 May →
inferno	13–7	0.06	21%	15 May →
anubis	11–13	-0.03	21%	15 May →
inferno	16–14	0.05	17%	13 May →
cache	13–7	0.05	31%	13 May →
cache	12–12	0.05	22%	12 May →
cache	9–13	0.06	23%	8 May →
inferno	13–11	0.02	34%	8 May →
mirage	13–4	0.02	16%	6 May →
overpass	13–9	-0.01	29%	1 May →
inferno	13–11	0.03	16%	29 Apr →
cache	10–13	0.01	34%	28 Apr →
mirage	8–13	-0.01	26%	28 Apr →
overpass	5–13	-0.05	13%	28 Apr →
mirage	17–19	0.00	18%	26 Apr →
train	13–9	0.15	25%	25 Apr →
nuke	13–16	0.01	21%	22 Apr →
nuke	7–13	0.03	31%	21 Apr →
mirage	13–2	0.03	25%	17 Apr →
ancient	10–13	0.01	21%	17 Apr →
mirage	12–16	0.01	22%	15 Apr →
anubis	11–13	0.02	22%	15 Apr →
anubis	9–13	0.03	20%	10 Apr →
anubis	9–13	0.00	16%	8 Apr →
anubis	13–8	0.07	26%	8 Apr →
anubis	13–9	0.05	25%	7 Apr →
anubis	12–12	0.05	23%	1 Apr →
anubis	8–13	0.05	23%	1 Apr →
mirage	9–13	0.02	30%	28 Mar →
dust2	11–13	-0.01	23%	25 Mar →
mirage	13–7	0.07	25%	20 Mar →
overpass	15–15	0.00	24%	18 Mar →
inferno	4–13	-0.02	23%	14 Mar →
ancient	13–9	0.05	20%	13 Mar →
overpass	5–13	-0.02	25%	13 Mar →
overpass	2–13	-0.07	24%	13 Mar →
overpass	13–9	0.07	28%	13 Mar →
nuke	13–4	0.02	30%	8 Mar →
ancient	13–10	0.04	22%	8 Mar →
dust2	13–16	0.05	28%	7 Mar →
mirage	5–13	-0.09	19%	4 Mar →
inferno	13–7	0.04	16%	3 Mar →
dust2	13–7	0.08	20%	3 Mar →
anubis	13–16	-0.02	12%	1 Mar →
overpass	13–4	0.01	21%	28 Feb →
train	11–13	0.06	18%	27 Feb →
ancient	13–4	0.10	18%	24 Feb →