vtotheltothem — CS2 Stats

CG76561197974346294[U:1:14080566]Steam profile ↗✓ No bans

3,179Tracked matches47%Win rate2020Tracked since

9,128Hours in CS

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating21,617Top 50% of 44,590 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)

CSDB Leaderboard#16855 of 57862 tracked

FaceitLevel 10 · 2,345 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	62.3%	51.7%
Shot accuracy	16.9%	13.8%
Kill/death ratio	0.82	1.09
Match win rate	51.2%	48.7%

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Performance scores

Aim75

Positioning58

Utility64

0–100 skill scores via Leetify.

Recent form

HOT52–48Last 10052%Win rateWWWWLWLWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim7.5

Aggression7.8

Utility6.4

Positioning5.8

Opening Duels3.0

Clutch3.6

Strong CT-side openerEffective 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 b1t 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: higher opening-fight frequency; 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 56% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 615ms 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

Aim7.5

Positioning5.8

Utility6.4

Mechanics6.4

Opening Duels3.3

Win Impact3.9

Composite 6.2/10 (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 time613ms−36ms

first ⅓ avg 649ms → last ⅓ avg 613ms

Headshot accuracy24.3%−2.5%

first ⅓ avg 26.7% → last ⅓ avg 24.3%

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

0.15Best rating — nuke 13–5

13–2Biggest win — overpass

7Longest win streak

W4Current streak

11–12In matches decided by ≤2 rounds

13Overtime games

Map breakdown

trainBest map · 80% over 5ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	32	19–13	59%	0.01
nuke	S	20	13–7	65%	0.00
mirage	D	19	5–14	26%	-0.00
dust2	C	9	4–5	44%	0.01
ancient	D	5	1–4	20%	-0.03
train	S	5	4–1	80%	-0.01
overpass	—	4	2–2	50%	0.01
anubis	—	4	3–1	75%	-0.01
cache	—	1	0–1	0%	-0.07
vertigo	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

283,656Lifetime kills

0.82K/D

7,282Matches

51.2%Match win rate · Top 50% of Level 10 players

62.3%Headshot % · Top 25% of Level 10 players

16.9%Shot accuracy · Top 25% of Level 10 players

23,531MVPs

9,128Hours (in match)

5,455Bombs planted

1,794Bombs defused

Most-used weapons

AK-47124,963

M4A4 / M4A1-S47,030

AWP21,201

Desert Eagle20,676

P2000 / USP-S19,986

FAMAS9,169

Glock-189,112

Galil AR6,985

P2505,395

Knife4,845

Lifetime map wins

21,161inferno

14,163nuke

10,629dust2

5,362vertigo

2,973train

1,565cbble

47lake

30aztec

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

Faceit stats

Combat

4,815Matches

51%Win rate

1.08Avg K/D

84.4ADR

53%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	461	46%	1.04	17.2
Nuke	303	63%	1.14	17.4
Inferno	281	55%	1.12	17.1
Anubis	111	44%	0.97	15.6
Ancient	104	51%	0.97	15.5
Dust2	76	37%	0.94	16.6
Vertigo	73	52%	1.08	16.7
Overpass	70	54%	1.04	16.2

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.

24.4%Headshot accuracy

35.3%Accuracy (enemy spotted)

37.9%Spray accuracy

78.9%Counter-strafing

9.8°Preaim

615msReaction time

27.5%T opening success

56.4%CT opening success

0.74Enemies flashed / flash

10.4%Flash assists

7.91HE damage / grenade

10.88Flashes / 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 27.4854% — below the 40% mark we flag

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 5 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
mirage	13–6	0.06	29%	7 Aug →
nuke	13–3	0.02	22%	4 Aug →
nuke	13–6	0.02	25%	2 Aug →
inferno	13–6	0.06	17%	2 Aug →
mirage	1–13	-0.09	18%	2 Aug →
inferno	22–20	0.05	22%	31 Jul →
mirage	6–13	-0.01	19%	27 Jul →
nuke	13–9	-0.01	26%	22 Jul →
inferno	7–13	-0.04	9%	21 Jul →
inferno	13–8	-0.03	39%	21 Jul →
cache	2–13	-0.07	24%	22 Jun →
inferno	3–13	-0.08	25%	8 Jun →
dust2	13–4	0.07	38%	7 Jun →
ancient	11–13	-0.03	18%	5 Jun →
inferno	13–9	0.05	34%	22 May →
nuke	13–9	-0.06	41%	11 May →
dust2	13–8	-0.01	30%	28 Apr →
ancient	5–13	-0.01	19%	18 Apr →
mirage	11–13	-0.00	23%	12 Apr →
mirage	8–13	0.05	27%	11 Apr →
overpass	13–10	-0.02	8%	5 Apr →
inferno	13–5	0.01	21%	1 Apr →
dust2	9–13	-0.05	26%	1 Apr →
mirage	11–13	-0.03	20%	21 Feb →
inferno	13–7	0.03	26%	13 Feb →
nuke	6–13	-0.02	15%	12 Feb →
mirage	11–13	-0.04	33%	8 Feb →
mirage	13–16	-0.02	27%	14 Jan →
inferno	10–13	-0.01	22%	1 Jan →
train	6–13	-0.05	24%	30 Dec →
dust2	13–7	0.01	24%	15 Dec →
inferno	13–11	-0.01	29%	13 Dec →
nuke	13–5	-0.04	19%	10 Dec →
mirage	10–13	-0.03	22%	8 Dec →
overpass	13–16	0.01	18%	17 Nov →
inferno	13–7	-0.00	25%	16 Oct →
nuke	5–13	0.02	36%	3 Oct →
nuke	9–13	-0.03	31%	1 Oct →
overpass	8–13	-0.01	22%	1 Oct →
inferno	13–7	0.07	24%	2 Sept →
mirage	11–13	0.04	23%	2 Sept →
inferno	9–13	-0.04	41%	30 Aug →
inferno	13–5	0.07	35%	2 Aug →
overpass	13–2	0.04	17%	18 Jul →
inferno	5–13	-0.02	26%	17 Jul →
inferno	20–22	-0.01	27%	10 Jul →
ancient	10–13	-0.00	24%	23 Jun →
inferno	13–7	0.07	19%	23 Jun →
nuke	9–13	-0.03	17%	16 Jun →
mirage	19–15	0.04	22%	13 Jun →
dust2	7–13	-0.02	19%	3 Jun →
train	16–14	-0.05	19%	1 Jun →
train	13–10	0.03	17%	29 May →
train	13–3	0.01	31%	21 May →
mirage	13–7	0.00	18%	21 May →
inferno	13–3	0.06	19%	18 May →
train	13–11	-0.00	10%	18 May →
nuke	16–13	-0.00	23%	18 Apr →
inferno	10–13	0.02	28%	17 Apr →
nuke	9–13	0.03	22%	16 Apr →
mirage	7–13	-0.02	26%	13 Apr →
inferno	14–16	-0.01	23%	9 Apr →
nuke	13–2	0.02	13%	6 Apr →
inferno	13–11	-0.00	19%	5 Apr →
anubis	13–11	-0.01	21%	27 Mar →
inferno	13–10	-0.00	20%	26 Mar →
dust2	13–7	0.01	22%	18 Mar →
inferno	11–13	-0.02	21%	21 Feb →
inferno	13–5	0.07	44%	17 Feb →
inferno	13–5	0.06	31%	14 Feb →
nuke	13–11	0.01	26%	14 Feb →
nuke	13–9	0.04	14%	13 Feb →
mirage	11–13	-0.01	28%	2 Feb →
inferno	13–11	-0.02	26%	29 Jan →
dust2	6–13	0.00	23%	27 Jan →
ancient	13–10	-0.06	22%	25 Jan →
inferno	11–13	-0.05	21%	22 Jan →
inferno	13–10	0.01	40%	18 Jan →
ancient	4–13	-0.02	29%	18 Jan →
anubis	13–8	-0.02	18%	18 Jan →
inferno	10–13	-0.02	41%	2 Jan →
nuke	9–13	-0.02	27%	30 Dec →
vertigo	13–6	0.06	36%	29 Dec →
anubis	6–13	-0.03	26%	27 Dec →
mirage	11–13	-0.03	30%	26 Dec →
dust2	14–16	0.03	38%	13 Dec →
mirage	10–13	0.01	22%	22 Nov →
nuke	13–5	0.15	22%	13 Nov →
inferno	15–19	-0.07	17%	6 Nov →
inferno	16–13	0.05	20%	4 Nov →
dust2	2–13	0.03	19%	4 Nov →
nuke	16–14	0.04	19%	17 Oct →
mirage	10–13	-0.00	20%	17 Oct →
mirage	13–5	0.07	32%	17 Oct →
mirage	13–10	-0.04	46%	15 Oct →
anubis	16–14	0.02	28%	15 Oct →
inferno	10–13	-0.00	27%	12 Oct →
nuke	8–13	-0.06	25%	30 Sept →
nuke	13–9	0.03	25%	30 Sept →
nuke	13–11	-0.03	19%	22 Sept →