CVAG — CS2 Stats

AU76561199090029515[U:1:1129763787]Steam profile ↗✓ No bans

3,073Tracked matches27%Win rate2024Tracked since

2,325Hours in CS54Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating16,493Purple band · top ~22.5% of ranked players (population est.)

CSDB Leaderboard#10306 of 17182 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning59

Utility68

0–100 skill scores via Leetify.

Recent form

COLD38–59–3Last 10038%Win rateLLLLLLWLLL

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.

Aim7.8

Aggression9.4

Utility6.8

Positioning5.9

Opening Duels3.9

Clutch2.6

Effective flashes

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 jL 95% playstyle similarity

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

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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 604ms 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

Aim7.8

Positioning5.9

Utility6.8

Mechanics8.3

Opening Duels3.9

Win Impact0.0

Composite 6.2/10 (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-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time601ms+12ms

first ⅓ avg 589ms → last ⅓ avg 601ms

Headshot accuracy16.6%−0.3%

first ⅓ avg 16.9% → last ⅓ avg 16.6%

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

0.16Best rating — inferno 9–13

13–0Biggest win — cache

3Longest win streak

L6Current streak

4–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 46% over 13infernoWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	34	15–19	44%	-0.00
dust2	C	16	6–10	38%	-0.01
cache	D	13	4–9	31%	-0.01
anubis	B	13	6–7	46%	-0.02
inferno	D	13	3–10	23%	-0.01
nuke	D	9	3–6	33%	-0.02
ancient	—	2	1–1	50%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,141Lifetime kills

0.95K/D

3,360Matches

47.5%Match win rate · Top 50% of tracked players

41.4%Headshot %

0.0%Shot accuracy

6,711MVPs

1,256Hours (in match)

2,489Bombs planted

812Bombs defused

Most-used weapons

AK-4713,482

M4A4 / M4A1-S11,266

AWP4,649

P2000 / USP-S2,916

Desert Eagle2,893

MP72,719

Glock-182,435

SSG 081,772

Galil AR1,697

MP91,350

Lifetime map wins

11,879dust2

4,066inferno

2,760nuke

1,297train

639vertigo

23office

18italy

2ar_shoots

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

Faceit stats

Combat

15Matches

47%Win rate

0.94Avg K/D

84.4ADR

39%Headshot %

Clutches & streaks

33%1v1 clutch win

27%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	5	60%	1.09	18.2
Mirage	4	25%	0.86	14.5
Anubis	2	50%	1.16	23.0
Inferno	2	100%	1.00	12.5
Nuke	1	0%	0.56	10.0
Cache	1	0%	0.33	6.0

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.

15.7%Headshot accuracy

34.5%Accuracy (enemy spotted)

36.9%Spray accuracy

87.3%Counter-strafing

7.2°Preaim

604msReaction time

40.8%T opening success

50.7%CT opening success

0.77Enemies flashed / flash

5.4%Flash assists

13.10HE damage / grenade

11.01Flashes / match

Recommended for you

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.

23% 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
mirage	6–13	-0.04	21%	27 Aug →
mirage	14–16	0.03	7%	27 Aug →
dust2	11–13	0.04	25%	27 Aug →
cache	10–13	-0.04	13%	27 Aug →
nuke	7–13	-0.04	20%	27 Aug →
dust2	11–13	0.01	19%	27 Aug →
dust2	13–1	-0.01	11%	26 Aug →
cache	6–13	-0.05	9%	26 Aug →
anubis	10–13	-0.04	11%	26 Aug →
inferno	7–13	-0.02	11%	26 Aug →
anubis	9–13	0.00	14%	26 Aug →
nuke	9–13	-0.02	46%	26 Aug →
mirage	1–5	0.01	60%	26 Aug →
cache	9–13	-0.04	24%	25 Aug →
inferno	13–8	-0.01	19%	25 Aug →
anubis	4–13	-0.05	19%	25 Aug →
dust2	13–4	-0.01	20%	25 Aug →
inferno	6–13	-0.10	4%	25 Aug →
mirage	10–13	-0.00	6%	24 Aug →
dust2	5–13	-0.04	8%	24 Aug →
anubis	13–10	-0.01	10%	24 Aug →
mirage	13–10	-0.04	9%	24 Aug →
dust2	6–13	-0.02	10%	24 Aug →
anubis	9–13	-0.02	20%	21 Aug →
nuke	13–3	0.06	15%	21 Aug →
cache	13–9	0.01	16%	21 Aug →
cache	6–13	-0.05	11%	21 Aug →
dust2	13–5	0.02	15%	20 Aug →
inferno	9–13	0.16	17%	20 Aug →
mirage	0–13	-0.08	11%	20 Aug →
mirage	3–5	-0.06	8%	20 Aug →
ancient	13–7	-0.04	18%	20 Aug →
mirage	13–11	0.04	22%	20 Aug →
nuke	2–8	0.05	35%	20 Aug →
nuke	13–7	-0.02	26%	20 Aug →
mirage	6–13	-0.03	22%	19 Aug →
inferno	13–9	0.02	15%	19 Aug →
cache	16–14	0.03	15%	19 Aug →
mirage	13–9	-0.08	26%	19 Aug →
cache	5–13	-0.04	14%	19 Aug →
mirage	13–7	-0.03	16%	19 Aug →
mirage	13–8	0.07	26%	19 Aug →
anubis	11–13	-0.05	19%	18 Aug →
mirage	9–13	0.03	11%	18 Aug →
cache	8–13	-0.01	27%	18 Aug →
cache	13–11	0.02	23%	18 Aug →
mirage	0–13	-0.03	14%	18 Aug →
inferno	9–13	0.14	11%	18 Aug →
anubis	13–8	-0.01	12%	18 Aug →
dust2	13–6	0.05	26%	18 Aug →
cache	7–13	-0.01	15%	18 Aug →
inferno	2–13	-0.02	9%	18 Aug →
anubis	13–8	-0.01	10%	18 Aug →
mirage	7–13	-0.03	14%	18 Aug →
mirage	13–8	0.03	14%	17 Aug →
nuke	6–13	-0.04	16%	17 Aug →
mirage	10–13	0.01	10%	17 Aug →
dust2	8–13	-0.09	20%	17 Aug →
anubis	13–4	-0.06	4%	17 Aug →
inferno	9–13	-0.03	17%	17 Aug →
mirage	16–12	0.02	17%	17 Aug →
dust2	13–8	-0.03	25%	17 Aug →
cache	12–16	0.02	7%	17 Aug →
mirage	13–2	0.08	10%	16 Aug →
anubis	15–15	-0.01	8%	16 Aug →
dust2	8–13	-0.00	22%	16 Aug →
mirage	16–13	0.00	12%	14 Aug →
mirage	13–6	0.01	17%	14 Aug →
anubis	8–13	-0.01	10%	14 Aug →
dust2	4–13	-0.08	13%	13 Aug →
inferno	12–16	-0.03	26%	13 Aug →
mirage	13–7	0.05	14%	13 Aug →
cache	13–0	0.02	15%	13 Aug →
inferno	3–13	-0.04	14%	13 Aug →
nuke	9–13	-0.01	20%	13 Aug →
inferno	5–9	-0.12	10%	13 Aug →
mirage	4–13	0.03	15%	13 Aug →
dust2	7–13	-0.01	18%	13 Aug →
mirage	8–13	0.08	30%	13 Aug →
mirage	3–13	-0.02	20%	13 Aug →
anubis	13–8	-0.05	17%	13 Aug →
mirage	10–13	-0.05	15%	13 Aug →
mirage	8–13	-0.02	16%	13 Aug →
nuke	11–13	-0.08	19%	13 Aug →
mirage	13–10	0.07	32%	13 Aug →
nuke	13–11	-0.03	18%	13 Aug →
mirage	1–13	-0.08	5%	12 Aug →
inferno	2–13	-0.02	15%	12 Aug →
mirage	14–16	-0.02	18%	12 Aug →
mirage	13–3	0.01	11%	12 Aug →
inferno	13–8	-0.01	16%	12 Aug →
cache	7–13	-0.03	12%	12 Aug →
mirage	13–6	0.07	23%	12 Aug →
dust2	12–12	0.04	28%	11 Aug →
dust2	10–13	-0.02	14%	11 Aug →
dust2	13–7	0.03	12%	11 Aug →
mirage	13–8	-0.03	17%	11 Aug →
anubis	13–3	0.03	14%	11 Aug →
ancient	15–15	-0.02	15%	11 Aug →
mirage	14–16	-0.03	18%	11 Aug →