volt63 — CS2 Stats

PL76561198130385922[U:1:170120194]Steam profile ↗✓ No bans

360Tracked matches50%Win rate2020Tracked since

1,495Hours in CS9Hrs last 2 wks

CSDB Rating5.8 SolidAll-Rounder

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim73

Positioning69

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY40–47–13Last 10040%Win rateLWWWLLTWLW

Last 10 vs previous 10: +40pp win rate · −0.02 avg rating · +0.3pp headshot accuracy · −9ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 10%
Avg reaction 413ms

Last 10

5–4–1 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 13%
Avg reaction 422ms

Last 20

6–9–5 · 30% win rate
Avg rating 0.04
Avg headshot accuracy 13%
Avg reaction 426ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.3

Utility6.9

Positioning6.9

Opening Duels4.7

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 81% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.3

Positioning6.9

Utility6.9

Mechanics1.4

Opening Duels4.6

Win Impact5.0

Composite 5.8/10 (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 rating0.05+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.05

Reaction time436ms−96ms

first ⅓ avg 532ms → last ⅓ avg 436ms

Headshot accuracy12.6%+1.3%

first ⅓ avg 11.3% → last ⅓ avg 12.6%

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.

Personal bests

0.20Best match rating · 13–5 · office, 28 Aug →

42%Best headshot accuracy · 6–13 · office, 2 Sept →

289msFastest reaction time · 5–13 · office, 13 Sept →

13–2Biggest win · office, 23 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak

6–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

officeBest map · 49% over 69infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
office	B	69	34–35	49%	0.05
cache	D	9	2–7	22%	0.04
inferno	D	7	1–6	14%	-0.00
vertigo	—	4	1–3	25%	0.03
mirage	—	4	1–3	25%	0.00
nuke	—	3	0–3	0%	0.03
overpass	—	1	0–1	0%	0.01
anubis	—	1	0–1	0%	0.03
poseidon	—	1	1–0	100%	0.13
ancient	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

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

Lifetime stats

54,284Lifetime kills

1.16K/D · Top 25% of tracked players

3,252Matches

41.8%Match win rate

38.8%Headshot %

12.0%Shot accuracy · Top 50% of tracked players

6,837MVPs

979Hours (in match)

1,626Bombs planted

302Bombs defused

Most-used weapons

AK-479,476

M4A4 / M4A1-S8,636

AWP4,985

XM10143,605

P2000 / USP-S3,127

AUG2,215

P902,052

Desert Eagle2,014

MAC-101,869

Glock-181,720

Lifetime map wins

5,900office

2,592inferno

1,971dust2

1,589vertigo

1,497nuke

226train

206cbble

143lake

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

Faceit stats

Combat

1Matches

0%Win rate

0.87Avg K/D

—ADR

38%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

12.9%Headshot accuracy

38.3%Accuracy (enemy spotted)

42.3%Spray accuracy

56.5%Counter-strafing

8.8°Preaim

431msReaction time

50.6%T opening success

46.3%CT opening success

0.72Enemies flashed / flash

2.1%Flash assists

11.60HE damage / grenade

9.31Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.893% — below the 15% mark we flag
Aim Training →

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.

14% win rate across 7 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
inferno	6–9	-0.05	14%	12 Nov →
inferno	9–3	0.03	11%	12 Nov →
office	13–5	0.02	14%	12 Nov →
office	13–5	0.03	9%	12 Nov →
cache	11–13	-0.01	5%	6 Nov →
vertigo	6–13	-0.03	10%	6 Nov →
office	12–12	0.06	10%	2 Nov →
office	13–8	0.05	13%	31 Oct →
office	8–13	0.02	25%	30 Oct →
office	13–7	0.19	21%	30 Oct →
office	6–13	0.08	13%	27 Oct →
inferno	8–8	0.07	9%	27 Oct →
office	7–13	0.04	13%	26 Oct →
office	12–12	0.02	10%	24 Oct →
office	10–13	0.06	12%	24 Oct →
office	12–12	0.05	15%	23 Oct →
office	13–6	0.05	13%	18 Oct →
office	12–12	0.07	0%	16 Oct →
office	6–13	0.04	35%	16 Oct →
office	6–13	0.06	8%	14 Oct →
office	10–0	0.11	14%	13 Oct →
office	13–11	0.06	18%	10 Oct →
office	13–3	0.10	12%	4 Oct →
office	13–6	0.09	20%	4 Oct →
office	2–6	-0.00	0%	2 Oct →
office	13–11	0.15	11%	30 Sept →
office	11–13	-0.00	17%	26 Sept →
overpass	8–13	0.01	13%	26 Sept →
office	13–6	0.15	13%	26 Sept →
office	10–13	0.04	7%	24 Sept →
nuke	1–13	-0.03	5%	24 Sept →
vertigo	13–7	0.02	16%	24 Sept →
office	13–8	-0.05	11%	24 Sept →
office	13–11	0.02	4%	24 Sept →
office	13–9	0.00	15%	24 Sept →
office	9–13	0.07	18%	23 Sept →
office	13–5	0.13	14%	23 Sept →
vertigo	12–12	0.09	5%	23 Sept →
office	13–11	0.06	8%	23 Sept →
inferno	6–9	0.04	20%	20 Sept →
office	7–13	0.04	19%	18 Sept →
office	5–13	0.08	0%	13 Sept →
office	9–13	-0.00	13%	13 Sept →
office	13–11	0.01	10%	12 Sept →
office	11–13	0.05	6%	9 Sept →
office	13–6	0.01	27%	5 Sept →
office	13–8	0.11	13%	3 Sept →
cache	8–13	0.06	13%	2 Sept →
office	6–13	0.03	42%	2 Sept →
office	13–5	0.20	14%	28 Aug →
vertigo	12–12	0.04	13%	23 Aug →
office	13–2	0.12	13%	23 Aug →
office	13–4	0.13	14%	19 Aug →
office	13–3	0.12	17%	18 Aug →
office	5–13	-0.03	18%	17 Aug →
office	13–8	0.02	10%	17 Aug →
office	8–13	0.18	11%	12 Aug →
office	8–13	-0.02	4%	10 Aug →
office	13–5	-0.07	6%	9 Aug →
mirage	13–16	0.05	10%	9 Aug →
office	13–9	0.17	8%	5 Aug →
office	13–11	0.01	17%	2 Aug →
office	13–5	0.16	7%	28 Jul →
anubis	9–13	0.03	12%	23 Jul →
office	13–6	0.04	11%	23 Jul →
office	12–12	0.07	11%	20 Jul →
office	13–10	0.02	11%	17 Jul →
office	13–8	0.07	3%	17 Jul →
cache	2–13	-0.06	6%	17 Jul →
nuke	8–13	0.03	9%	12 Jul →
office	13–7	-0.02	9%	9 Jul →
cache	6–13	-0.02	10%	9 Jul →
office	13–9	-0.04	7%	7 Jul →
office	6–13	0.01	10%	5 Jul →
inferno	2–13	-0.07	30%	28 Jun →
office	11–13	0.17	8%	24 Jun →
office	12–12	-0.01	14%	24 Jun →
office	3–12	0.16	5%	23 Jun →
mirage	4–13	-0.00	8%	21 Jun →
mirage	13–9	0.06	16%	21 Jun →
office	12–12	0.06	8%	12 Jun →
inferno	7–9	0.02	7%	5 Jun →
inferno	6–13	-0.05	25%	29 May →
office	13–5	0.05	12%	29 May →
poseidon	9–4	0.13	15%	29 May →
nuke	8–8	0.08	12%	29 May →
office	8–13	0.09	11%	25 May →
mirage	4–13	-0.10	21%	25 May →
office	4–13	-0.04	4%	25 May →
cache	4–13	0.09	10%	25 May →
cache	12–12	0.03	16%	14 May →
cache	13–8	0.04	14%	14 May →
cache	13–2	0.16	16%	1 May →
cache	12–12	0.02	6%	1 May →
office	10–13	0.01	12%	24 Apr →
office	6–13	0.05	6%	24 Apr →
office	7–13	0.02	5%	10 Apr →
office	4–13	0.01	11%	9 Apr →
ancient	3–13	0.07	7%	9 Apr →
office	8–13	-0.03	18%	6 Apr →