sVikars — CS2 Stats

AX76561198239687330[U:1:279421602]Steam profile ↗✓ No bans

1,242Tracked matches33%Win rate2020Tracked since

1,862Hours in CS

CSDB Rating6.2 SolidAggressive Rifler

FaceitLevel 10 · 2,040 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=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	56.2%	51.9%
Shot accuracy	17.3%	13.7%
Kill/death ratio	1.10	1.08
Match win rate	46.6%	48.7%

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Performance scores

Aim78

Positioning70

Utility62

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateLLLLLLLWWW

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

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

Aim7.8

Aggression9.7

Utility6.2

Positioning7.0

Opening Duels4.2

Clutch3.0

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 sh1ro 95% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 573ms 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

Positioning7.0

Utility6.2

Mechanics7.6

Opening Duels4.2

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 rating0.02−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time580ms−10ms

first ⅓ avg 590ms → last ⅓ avg 580ms

Headshot accuracy22.0%−2.5%

first ⅓ avg 24.5% → last ⅓ avg 22.0%

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

0.19Best rating — mirage 13–2

13–1Biggest win — mirage

12Longest win streak

L7Current streak

7–4In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 59% over 22overpassWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	42	24–18	57%	0.03
dust2	A	22	13–9	59%	0.02
ancient	D	9	3–6	33%	0.01
train	A	9	5–4	56%	0.02
overpass	D	7	1–6	14%	-0.00
nuke	B	6	3–3	50%	0.01
inferno	—	2	0–2	0%	0.03
cache_b	—	2	0–2	0%	-0.02
anubis	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,711Lifetime kills

1.10K/D · Top 50% of Level 10 players

3,207Matches

46.6%Match win rate

56.2%Headshot % · Top 50% of Level 10 players

17.3%Shot accuracy · Top 25% of Level 10 players

10,321MVPs

1,862Hours (in match)

3,471Bombs planted

873Bombs defused

Most-used weapons

AK-4733,946

M4A4 / M4A1-S16,237

AWP7,807

Desert Eagle7,241

P2000 / USP-S6,732

Glock-184,076

FAMAS1,807

Galil AR1,730

P2501,250

SSG 081,147

Lifetime map wins

5,087dust2

4,453inferno

2,018train

1,210nuke

1,113cbble

332vertigo

58office

32lake

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

Faceit stats

Combat

684Matches

52%Win rate

1.16Avg K/D

90.9ADR

48%Headshot %

Clutches & streaks

35%1v1 clutch win

23%1v2 clutch win

15Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	66	62%	1.39	17.8
Dust2	34	50%	1.20	16.4
Ancient	23	43%	1.25	18.9
Inferno	16	38%	1.08	15.1
Train	13	62%	1.47	18.4
Nuke	13	31%	0.93	15.0
Overpass	8	38%	0.92	17.4
Anubis	2	100%	1.28	19.5

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.

22.4%Headshot accuracy

32.1%Accuracy (enemy spotted)

34.1%Spray accuracy

84.1%Counter-strafing

7.9°Preaim

573msReaction time

47.8%T opening success

45.8%CT opening success

0.77Enemies flashed / flash

4.9%Flash assists

11.69HE damage / grenade

9.25Flashes / match

Recommended for you

Spend your practice time on Overpass

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	5–13	-0.03	18%	12 Apr →
ancient	6–13	-0.00	19%	10 Apr →
dust2	6–13	-0.01	23%	18 Mar →
inferno	10–13	0.10	25%	22 Feb →
overpass	4–13	-0.05	16%	22 Feb →
mirage	7–13	0.00	23%	22 Feb →
mirage	9–13	0.01	22%	22 Feb →
mirage	13–7	0.06	20%	20 Feb →
dust2	13–4	0.16	37%	20 Feb →
dust2	10–1	0.16	20%	9 Feb →
mirage	13–9	0.12	27%	9 Feb →
nuke	8–13	-0.01	23%	8 Feb →
mirage	13–6	-0.01	27%	8 Feb →
mirage	10–13	0.05	19%	7 Feb →
mirage	10–13	0.01	22%	7 Feb →
cache_b	8–13	-0.01	17%	16 Jan →
mirage	13–6	0.00	31%	16 Jan →
train	8–13	-0.02	31%	16 Jan →
cache_b	11–13	-0.04	34%	15 Jan →
dust2	13–7	0.03	16%	15 Jan →
nuke	1–13	-0.01	21%	13 Jan →
nuke	13–5	0.03	20%	13 Jan →
dust2	13–10	0.06	12%	13 Jan →
mirage	8–13	-0.00	9%	13 Jan →
mirage	6–13	0.00	25%	12 Jan →
nuke	11–13	-0.01	22%	12 Jan →
ancient	7–13	0.02	39%	12 Jan →
mirage	9–13	-0.03	24%	11 Jan →
anubis	16–12	-0.02	13%	11 Jan →
inferno	8–13	-0.04	19%	10 Jan →
mirage	7–13	0.03	17%	10 Jan →
mirage	13–6	0.05	18%	10 Jan →
mirage	13–11	-0.03	15%	9 Jan →
train	5–13	-0.01	22%	9 Jan →
dust2	13–6	0.03	19%	8 Jan →
mirage	13–6	0.09	24%	7 Jan →
train	8–13	0.02	23%	6 Jan →
dust2	5–13	-0.06	16%	6 Jan →
ancient	11–13	0.01	17%	25 Nov →
mirage	15–15	0.01	19%	22 Nov →
dust2	2–13	-0.06	18%	22 Nov →
ancient	4–13	0.00	31%	22 Nov →
mirage	9–13	-0.00	29%	22 Nov →
dust2	13–11	0.02	26%	21 Nov →
dust2	9–13	-0.02	30%	21 Nov →
ancient	7–13	0.02	15%	20 Nov →
mirage	13–7	0.07	28%	20 Nov →
mirage	13–11	-0.01	22%	20 Nov →
overpass	16–19	-0.00	21%	19 Nov →
ancient	13–9	-0.01	10%	19 Nov →
dust2	13–6	0.01	9%	19 Nov →
mirage	13–9	0.11	17%	18 Nov →
mirage	13–9	0.06	35%	13 Nov →
dust2	3–13	-0.09	25%	13 Nov →
mirage	13–3	0.10	26%	28 Oct →
mirage	13–4	0.05	34%	28 Oct →
train	9–13	-0.04	22%	28 Oct →
ancient	13–8	0.10	22%	28 Oct →
mirage	11–13	0.07	33%	27 Oct →
dust2	12–16	-0.02	17%	27 Oct →
mirage	13–1	0.05	33%	27 Oct →
dust2	13–4	-0.01	23%	27 Oct →
mirage	13–4	0.08	15%	27 Oct →
mirage	9–13	-0.04	27%	27 Oct →
dust2	10–13	0.04	25%	26 Oct →
ancient	8–13	0.00	23%	26 Oct →
mirage	13–11	0.12	36%	26 Oct →
train	13–5	0.04	33%	26 Oct →
mirage	4–13	0.04	37%	26 Oct →
dust2	13–8	0.10	32%	25 Oct →
overpass	8–13	-0.00	33%	25 Oct →
mirage	1–13	-0.07	29%	25 Oct →
overpass	8–13	0.04	27%	25 Oct →
dust2	9–13	-0.03	23%	25 Oct →
mirage	15–15	-0.01	19%	25 Oct →
mirage	8–13	0.01	18%	25 Oct →
mirage	10–13	0.00	17%	24 Oct →
ancient	16–13	-0.03	18%	24 Oct →
mirage	13–11	-0.04	24%	24 Oct →
mirage	6–13	-0.05	15%	24 Oct →
train	13–7	0.03	28%	24 Oct →
nuke	7–4	0.08	14%	24 Oct →
mirage	13–9	-0.01	17%	24 Oct →
nuke	16–12	-0.03	19%	24 Oct →
dust2	13–10	-0.02	13%	24 Oct →
train	13–10	0.04	22%	15 Oct →
dust2	4–13	-0.04	24%	30 Sept →
overpass	10–13	-0.02	24%	30 Sept →
mirage	16–13	-0.01	11%	29 Sept →
mirage	16–14	0.03	26%	29 Sept →
dust2	13–10	0.05	29%	28 Sept →
train	13–6	0.13	28%	28 Sept →
dust2	13–9	0.01	35%	27 Sept →
mirage	13–10	0.02	28%	27 Sept →
dust2	13–10	0.03	25%	27 Sept →
mirage	13–2	0.19	38%	27 Sept →
mirage	13–11	0.05	26%	27 Sept →
overpass	13–9	0.03	27%	26 Sept →
mirage	13–9	0.14	33%	26 Sept →
train	13–4	0.03	16%	26 Sept →