Vaughn — CS2 Stats

76561198407723018[U:1:447457290]

2,430Tracked matches58%Win rate2020Tracked since

2,014Hours in CS21Hrs last 2 wks

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating22,804Top 50% of 819 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)

CSDB Leaderboard#3753 of 13117 tracked

FaceitLevel 8 · 1,708 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning58

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLWWTWWWTLW

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

Player DNA

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

Aim7.7

Aggression6.9

Utility4.0

Positioning5.8

Opening Duels3.2

Clutch5.0

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 ropz 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 61% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.7

Positioning5.8

Utility4.0

Mechanics5.1

Opening Duels3.8

Win Impact7.6

Composite 6.1/10 (Solid), 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-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time525ms−60ms

first ⅓ avg 585ms → last ⅓ avg 525ms

Headshot accuracy18.7%+1.2%

first ⅓ avg 17.5% → last ⅓ avg 18.7%

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

0.11Best rating — inferno 13–6

13–1Biggest win — anubis

5Longest win streak

8–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 70% over 20mirageWeakest map · 0% over 8

Map	Grade	Played	Record	Win rate	Avg rating
anubis	S	20	14–6	70%	0.00
ancient	A	20	12–8	60%	0.00
cache	B	15	8–7	53%	0.00
inferno	B	15	7–8	47%	0.00
dust2	B	13	7–6	54%	-0.01
mirage	D	8	0–8	0%	-0.00
overpass	B	6	3–3	50%	0.01
vertigo	—	1	0–1	0%	0.03
poseidon	—	1	0–1	0%	-0.07
nuke	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,517Lifetime kills

1.00K/D

2,958Matches

44.5%Match win rate

49.4%Headshot % · Top 50% of Pink band

4.2%Shot accuracy

5,396MVPs

1,164Hours (in match)

2,461Bombs planted

800Bombs defused

Most-used weapons

AK-4721,967

M4A4 / M4A1-S12,192

Galil AR3,025

AWP2,857

P2000 / USP-S2,525

Glock-182,299

MP91,680

Desert Eagle1,184

FAMAS1,107

MAC-10794

Lifetime map wins

3,253dust2

2,705inferno

2,617nuke

1,971vertigo

1,512train

281office

26italy

23cbble

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

Faceit stats

Combat

188Matches

53%Win rate

1.17Avg K/D

79.1ADR

48%Headshot %

Clutches & streaks

45%1v1 clutch win

20%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	55	56%	1.14	16.0
Anubis	32	44%	1.23	17.6
Mirage	28	50%	1.14	15.3
Dust2	19	53%	1.19	17.4
Overpass	18	50%	1.11	14.7
Train	12	67%	1.10	15.3
Nuke	11	55%	1.42	15.2
Inferno	7	57%	1.20	13.0

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.

19.1%Headshot accuracy

34.5%Accuracy (enemy spotted)

40.5%Spray accuracy

72.7%Counter-strafing

8.2°Preaim

527msReaction time

25.0%T opening success

60.5%CT opening success

0.49Enemies flashed / flash

4.6%Flash assists

5.75HE damage / grenade

5.53Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4915 — 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 24.955% — below the 40% mark we flag

Spend your practice time on Mirage

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

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	5–13	0.06	31%	28 Aug →
anubis	13–1	-0.05	5%	28 Aug →
inferno	13–8	-0.02	19%	28 Aug →
dust2	15–15	-0.02	19%	28 Aug →
anubis	13–11	-0.02	18%	28 Aug →
inferno	13–10	0.01	7%	27 Aug →
ancient	13–11	-0.03	11%	25 Aug →
anubis	15–15	0.01	29%	25 Aug →
inferno	4–13	0.03	17%	25 Aug →
ancient	13–7	-0.08	20%	25 Aug →
dust2	13–11	-0.05	20%	24 Aug →
mirage	6–13	-0.07	14%	24 Aug →
cache	13–7	0.00	30%	24 Aug →
dust2	13–9	0.03	26%	23 Aug →
inferno	13–11	-0.03	7%	23 Aug →
ancient	13–7	0.01	19%	23 Aug →
ancient	10–13	-0.06	19%	18 Aug →
inferno	13–4	0.04	21%	18 Aug →
vertigo	12–12	0.03	11%	18 Aug →
anubis	15–15	0.04	11%	17 Aug →
ancient	6–13	0.09	12%	17 Aug →
inferno	8–13	-0.02	26%	17 Aug →
cache	7–13	-0.05	32%	16 Aug →
anubis	13–5	0.01	15%	16 Aug →
mirage	9–13	-0.05	21%	16 Aug →
mirage	14–16	-0.06	16%	15 Aug →
ancient	16–14	0.04	17%	14 Aug →
inferno	7–13	-0.07	20%	11 Aug →
ancient	4–13	-0.05	43%	11 Aug →
cache	13–8	-0.02	25%	11 Aug →
anubis	13–3	0.04	16%	7 Aug →
ancient	13–2	0.03	14%	4 Aug →
cache	13–5	0.02	7%	4 Aug →
inferno	13–9	-0.01	6%	4 Aug →
ancient	10–13	-0.05	15%	3 Aug →
cache	9–13	0.03	33%	3 Aug →
cache	13–2	-0.00	18%	3 Aug →
anubis	16–12	0.01	22%	3 Aug →
ancient	13–9	0.02	13%	3 Aug →
cache	13–4	0.04	20%	3 Aug →
inferno	9–13	-0.00	33%	3 Aug →
cache	8–13	0.01	17%	30 Jul →
ancient	9–13	-0.01	16%	28 Jul →
inferno	11–13	-0.04	20%	28 Jul →
cache	13–8	0.03	26%	28 Jul →
anubis	13–6	0.00	36%	28 Jul →
mirage	11–13	0.02	16%	26 Jul →
dust2	9–13	0.04	40%	26 Jul →
poseidon	5–9	-0.07	19%	26 Jul →
cache	1–13	-0.07	17%	24 Jul →
anubis	11–13	0.01	22%	24 Jul →
dust2	6–13	-0.07	17%	24 Jul →
mirage	6–13	0.02	17%	24 Jul →
inferno	8–13	0.02	18%	21 Jul →
ancient	13–10	0.01	35%	21 Jul →
dust2	1–13	-0.09	21%	21 Jul →
anubis	13–10	0.02	15%	21 Jul →
mirage	15–15	0.02	24%	20 Jul →
anubis	13–6	-0.02	14%	20 Jul →
dust2	5–13	-0.05	24%	18 Jul →
dust2	13–4	0.06	10%	17 Jul →
cache	5–13	0.05	22%	17 Jul →
anubis	5–13	-0.03	21%	17 Jul →
cache	13–8	-0.02	14%	17 Jul →
ancient	13–7	0.04	21%	17 Jul →
anubis	13–10	-0.05	16%	16 Jul →
cache	13–10	-0.00	21%	16 Jul →
ancient	9–13	0.00	23%	13 Jul →
ancient	13–6	0.06	25%	13 Jul →
cache	11–13	-0.04	25%	13 Jul →
anubis	13–5	-0.01	13%	4 Jul →
ancient	13–9	0.00	20%	4 Jul →
nuke	11–13	0.03	26%	3 Jul →
anubis	10–13	0.09	19%	3 Jul →
ancient	2–13	-0.06	18%	1 Jul →
inferno	12–12	-0.02	16%	1 Jul →
ancient	10–13	0.02	12%	29 Jun →
anubis	13–7	0.01	17%	29 Jun →
overpass	11–13	0.01	16%	23 Jun →
ancient	13–7	-0.00	23%	22 Jun →
overpass	13–11	-0.02	26%	22 Jun →
dust2	13–9	-0.04	21%	22 Jun →
inferno	7–13	0.03	27%	22 Jun →
anubis	16–13	0.01	11%	19 Jun →
dust2	13–10	0.03	38%	19 Jun →
mirage	8–13	0.03	11%	19 Jun →
overpass	8–13	-0.02	14%	19 Jun →
inferno	13–10	-0.03	13%	19 Jun →
anubis	9–13	-0.03	11%	15 Jun →
ancient	13–8	0.04	19%	15 Jun →
inferno	13–6	0.11	10%	15 Jun →
dust2	13–5	0.02	18%	9 Jun →
anubis	13–11	-0.05	22%	9 Jun →
overpass	2–13	0.01	10%	9 Jun →
mirage	4–13	0.09	13%	7 Jun →
dust2	10–13	-0.01	17%	4 Jun →
anubis	13–2	0.04	10%	4 Jun →
overpass	13–11	0.04	7%	3 Jun →
dust2	13–8	0.02	13%	3 Jun →
overpass	13–9	0.03	13%	3 Jun →