Viscore — CS2 Stats

DE76561198134992345[U:1:174726617]Steam profile ↗✓ No bans

1,763Tracked matches55%Win rate2020Tracked since

2,171Hours in CS11Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating23,272Top 50% of 29,473 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)

CSDB Leaderboard#8706 of 41088 tracked

FaceitLevel 10Top 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=4,917), 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	46.6%	51.9%
Shot accuracy	10.4%	13.7%
Kill/death ratio	1.15	1.08
Match win rate	52.0%	48.7%

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Performance scores

Aim83

Positioning58

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateWWLLWWWWLL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

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

Aim8.3

Aggression7.2

Utility4.4

Positioning5.8

Opening Duels3.6

Clutch3.4

Strong CT-side openerLimited 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 93% playstyle similarity

Most alike: positioning profile, 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

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 55% on CT to 34% 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

Aim8.3

Positioning5.8

Utility4.4

Mechanics8.0

Opening Duels3.6

Win Impact6.7

Composite 6.7/10 (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 rating0.01−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.01

Reaction time544ms+5ms

first ⅓ avg 539ms → last ⅓ avg 544ms

Headshot accuracy24.8%+4.2%

first ⅓ avg 20.6% → last ⅓ avg 24.8%

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

0.26Best rating — inferno 13–5

13–0Biggest win — mirage

5Longest win streak

W2Current streak

6–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 71% over 31infernoWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	31	22–9	71%	0.03
mirage	C	20	8–12	40%	0.04
inferno	D	15	5–10	33%	0.06
cache	A	13	8–5	62%	0.03
ancient	A	9	5–4	56%	0.01
nuke	B	8	4–4	50%	0.04
anubis	—	2	0–2	0%	-0.05
vertigo	—	1	0–1	0%	0.10
overpass	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,511Lifetime kills

1.15K/D · Top 50% of Level 10 players

2,830Matches

52.0%Match win rate · Top 25% of Level 10 players

46.6%Headshot %

10.4%Shot accuracy

15,009MVPs

1,483Hours (in match)

1,700Bombs planted

675Bombs defused

Most-used weapons

AK-4735,955

AWP14,660

M4A4 / M4A1-S13,465

Desert Eagle6,307

P2000 / USP-S4,243

Glock-183,244

SSG 081,492

Knife1,383

FAMAS581

Galil AR553

Lifetime map wins

8,655dust2

5,095inferno

1,961vertigo

1,740nuke

944train

106cbble

68lake

20italy

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

Faceit stats

Combat

1,391Matches

52%Win rate

1.24Avg K/D

85.6ADR

41%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	99	51%	1.17	16.0
Ancient	66	58%	1.17	16.7
Anubis	43	53%	1.10	17.0
Vertigo	37	57%	1.18	17.0
Inferno	29	52%	1.20	18.8
Nuke	19	47%	0.94	14.8
Overpass	15	53%	1.32	17.6
Dust2	14	64%	1.25	15.9

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.

22.9%Headshot accuracy

32.6%Accuracy (enemy spotted)

33.7%Spray accuracy

85.9%Counter-strafing

7.4°Preaim

539msReaction time

34.2%T opening success

54.9%CT opening success

0.70Enemies flashed / flash

8.9%Flash assists

5.05HE damage / grenade

4.00Flashes / 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 34.2172% — below the 40% mark we flag

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.

33% win rate across 15 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	13–1	0.05	11%	21 Aug →
ancient	13–10	0.02	42%	14 Aug →
ancient	9–13	0.02	27%	12 Aug →
vertigo	11–13	0.10	21%	9 Aug →
inferno	13–9	-0.02	14%	5 Aug →
dust2	13–8	0.01	20%	4 Aug →
dust2	16–12	0.04	23%	3 Aug →
cache	13–8	0.05	23%	3 Aug →
mirage	10–13	-0.01	24%	3 Aug →
mirage	4–13	-0.05	21%	2 Aug →
dust2	13–6	-0.01	11%	2 Aug →
mirage	13–7	0.03	16%	2 Aug →
dust2	13–6	0.04	27%	2 Aug →
mirage	13–0	0.18	29%	2 Aug →
mirage	15–15	0.02	16%	2 Aug →
dust2	8–13	0.01	22%	1 Aug →
inferno	0–2	-0.02	0%	1 Aug →
cache	8–13	-0.01	31%	1 Aug →
cache	13–11	0.04	14%	1 Aug →
ancient	2–7	-0.04	19%	1 Aug →
mirage	1–13	0.04	28%	1 Aug →
ancient	13–8	0.08	24%	30 Jul →
inferno	1–13	0.02	33%	25 Jul →
dust2	14–16	-0.01	26%	23 Jul →
ancient	13–1	-0.08	0%	23 Jul →
cache	10–0	-0.05	100%	23 Jul →
anubis	11–13	-0.03	11%	21 Jul →
anubis	13–16	-0.07	22%	19 Jul →
cache	13–3	0.08	29%	19 Jul →
dust2	13–5	-0.02	20%	18 Jul →
mirage	13–5	0.05	16%	16 Jul →
dust2	13–3	0.11	48%	11 Jul →
dust2	13–7	-0.12	50%	25 Jun →
mirage	8–13	0.08	10%	24 Jun →
dust2	13–7	0.05	13%	24 Jun →
nuke	13–9	0.02	40%	23 Jun →
dust2	13–3	0.04	36%	23 Jun →
dust2	13–6	0.02	29%	23 Jun →
mirage	6–13	0.03	17%	14 Jun →
dust2	13–3	0.05	17%	7 Jun →
mirage	13–16	-0.03	20%	6 Jun →
nuke	11–13	0.03	17%	6 Jun →
nuke	12–12	0.15	26%	28 May →
dust2	3–13	-0.03	26%	28 May →
cache	12–12	0.02	27%	28 May →
nuke	16–14	0.04	21%	27 May →
cache	13–7	0.08	33%	25 May →
dust2	13–4	0.06	30%	25 May →
dust2	3–13	0.06	24%	24 May →
dust2	13–8	0.03	34%	24 May →
cache	13–9	0.04	8%	24 May →
dust2	13–6	-0.02	29%	23 May →
dust2	16–14	0.03	33%	13 May →
cache	7–13	0.03	26%	6 May →
cache	13–8	-0.01	15%	6 May →
cache	7–13	0.04	24%	6 May →
cache	13–8	0.03	17%	3 May →
cache	12–12	0.04	22%	30 Apr →
dust2	7–13	-0.05	33%	25 Apr →
mirage	14–16	0.11	17%	24 Apr →
inferno	3–13	0.08	15%	23 Apr →
overpass	13–7	0.08	23%	23 Apr →
mirage	12–12	0.08	25%	23 Apr →
dust2	13–10	0.03	23%	23 Apr →
inferno	15–15	0.07	23%	23 Apr →
nuke	13–4	0.12	33%	22 Apr →
nuke	13–9	0.05	32%	22 Apr →
inferno	4–13	0.05	14%	22 Apr →
ancient	13–4	0.06	18%	22 Apr →
ancient	13–6	0.11	17%	22 Apr →
inferno	7–13	0.11	21%	21 Apr →
inferno	13–5	0.26	34%	21 Apr →
mirage	10–13	0.05	10%	21 Apr →
inferno	9–13	0.10	15%	21 Apr →
dust2	13–11	0.01	21%	21 Apr →
dust2	13–10	0.01	33%	21 Apr →
mirage	13–9	0.00	16%	19 Apr →
dust2	16–14	0.02	30%	19 Apr →
ancient	8–13	0.01	21%	19 Apr →
mirage	13–6	0.02	21%	19 Apr →
mirage	8–13	-0.01	18%	17 Apr →
inferno	13–3	0.08	14%	17 Apr →
nuke	4–13	-0.04	19%	17 Apr →
dust2	13–5	0.05	23%	17 Apr →
dust2	10–13	0.02	22%	17 Apr →
inferno	8–13	-0.03	17%	17 Apr →
dust2	13–7	0.05	21%	16 Apr →
dust2	5–13	0.04	10%	16 Apr →
dust2	4–13	0.05	28%	16 Apr →
nuke	11–13	-0.03	18%	15 Apr →
mirage	9–13	-0.02	19%	14 Apr →
inferno	13–4	0.08	28%	13 Apr →
mirage	13–10	0.09	19%	11 Apr →
inferno	2–13	-0.04	18%	11 Apr →
dust2	13–4	0.15	12%	10 Apr →
dust2	9–13	0.09	24%	6 Apr →
inferno	12–12	0.04	28%	5 Apr →
mirage	13–9	0.06	18%	5 Apr →
ancient	0–7	-0.07	27%	4 Apr →
inferno	13–11	0.11	25%	4 Apr →