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Voltaic — CS2 Stats

76561198080001836[U:1:119736108]✓ No bans

131Tracked matches44%Win rate2023Tracked since
CSDB Rating2.3 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGVoltaicFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim24
Positioning19
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY43–48–9Last 10043%Win rateWLLLWLLTWW

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

Player DNA

Aim2.4
Aggression0.0
Utility1.3
Positioning1.9
Opening Duels0.0
Clutch1.0

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

NiKo

Plays most like NiKo 54% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 26% on CT to 7% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms 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

Aim2.4
Positioning1.9
Utility1.3
Mechanics4.6
Opening Duels0.0
Win Impact3.1

Composite 2.3/10 (Learning), 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 rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time673ms−67ms
first ⅓ avg 740ms → last ⅓ avg 673ms
Headshot accuracy15.1%−1.4%
first ⅓ avg 16.5% → last ⅓ avg 15.1%

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

0.14Best rating — ancient 13–9
13–1Biggest win — ancient
6Longest win streak
4–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 61% over 23dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2813–1546%-0.04
ancientA2314–961%-0.03
infernoD195–1426%-0.03
nukeB105–550%-0.07
trainD72–529%-0.06
anubisB63–350%-0.05
dust2D50–50%-0.07
cache—21–150%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
67%Win rate
0.28Avg K/D
21.7ADR
46%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke1100%0.112.0
Anubis1100%0.171.0
Dust210%0.578.0

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.

15.4%Headshot accuracy
26.3%Accuracy (enemy spotted)
26.9%Spray accuracy
70.9%Counter-strafing
12.3°Preaim
673msReaction time
6.6%T opening success
26.3%CT opening success
0.41Enemies flashed / flash
5.7%Flash assists
1.59HE damage / grenade
2.48Flashes / 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.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3122° — above the 12° mark we flag

    Aim Training →
  2. 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 0.4083 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0929%28 Aug →
cache3–10-0.0727%28 Aug →
anubis8–13-0.0722%27 Aug →
mirage11–13-0.0412%19 Jun →
mirage13–4-0.0810%19 Jun →
train7–13-0.058%19 Jun →
dust211–13-0.0512%19 Jun →
inferno12–12-0.0311%19 Jun →
mirage13–8-0.0422%15 Jun →
train13–4-0.037%15 Jun →
inferno9–13-0.0816%15 Jun →
ancient13–10-0.079%15 Jun →
dust26–13-0.0738%15 Jun →
cache13–7-0.0543%15 Jun →
dust24–13-0.0535%20 May →
nuke8–13-0.0513%6 May →
ancient12–12-0.1110%6 May →
mirage9–13-0.0518%6 May →
train3–13-0.0930%16 Apr →
nuke6–2-0.060%16 Apr →
nuke13–5-0.036%16 Apr →
mirage10–13-0.0817%16 Apr →
nuke13–11-0.1112%10 Apr →
mirage13–3-0.003%23 Mar →
nuke10–13-0.108%22 Mar →
inferno13–11-0.069%21 Mar →
mirage11–130.0010%21 Mar →
ancient13–10-0.015%21 Mar →
inferno11–130.0010%20 Mar →
mirage15–150.0516%20 Mar →
nuke16–13-0.019%18 Mar →
mirage8–13-0.019%18 Mar →
mirage10–13-0.0414%18 Mar →
ancient13–90.1418%18 Mar →
dust22–13-0.116%15 Mar →
mirage10–13-0.0411%15 Mar →
mirage10–13-0.0810%15 Mar →
mirage9–13-0.075%14 Mar →
ancient6–13-0.027%14 Mar →
mirage6–13-0.0115%14 Mar →
mirage13–11-0.099%14 Mar →
anubis13–10-0.0519%14 Mar →
ancient13–8-0.0415%14 Mar →
mirage13–10-0.0511%13 Mar →
ancient13–10-0.0813%13 Mar →
mirage13–5-0.038%13 Mar →
mirage12–12-0.0910%13 Mar →
ancient7–13-0.0917%13 Mar →
ancient1–13-0.0813%13 Mar →
ancient13–100.0416%13 Mar →
nuke3–13-0.178%13 Mar →
inferno3–13-0.0916%13 Mar →
ancient13–8-0.019%13 Mar →
ancient5–13-0.068%13 Mar →
mirage13–40.0721%13 Mar →
ancient13–10.0517%13 Mar →
mirage12–12-0.0118%12 Mar →
anubis3–13-0.076%12 Mar →
nuke4–13-0.0419%12 Mar →
inferno3–13-0.1510%12 Mar →
inferno12–120.028%12 Mar →
inferno13–20.0525%11 Mar →
anubis12–12-0.0111%11 Mar →
ancient13–9-0.0315%11 Mar →
nuke13–6-0.0227%11 Mar →
anubis13–10-0.0416%11 Mar →
ancient13–9-0.0117%11 Mar →
ancient7–13-0.1012%11 Mar →
inferno9–130.004%11 Mar →
train10–13-0.1111%11 Mar →
mirage13–6-0.0125%10 Mar →
inferno1–13-0.0729%10 Mar →
mirage13–3-0.0223%10 Mar →
mirage5–13-0.0332%10 Mar →
inferno12–12-0.0420%10 Mar →
mirage13–8-0.076%10 Mar →
ancient1–13-0.086%10 Mar →
inferno13–9-0.0123%10 Mar →
inferno2–100.0423%10 Mar →
mirage13–10-0.0522%10 Mar →
inferno13–100.0120%10 Mar →
inferno1–13-0.137%10 Mar →
inferno4–130.0229%10 Mar →
ancient13–10-0.0212%10 Mar →
ancient13–10-0.0119%10 Mar →
inferno13–10.0225%10 Mar →
ancient3–10-0.039%10 Mar →
ancient13–9-0.0118%9 Mar →
train7–13-0.0215%9 Mar →
inferno10–130.0218%9 Mar →
anubis13–10-0.057%9 Mar →
ancient6–13-0.0820%9 Mar →
train1–13-0.0927%9 Mar →
mirage6–13-0.0613%9 Mar →
nuke7–13-0.089%9 Mar →
train13–11-0.0416%8 Mar →
inferno12–12-0.0311%8 Mar →
mirage13–100.0211%8 Mar →
ancient13–3-0.0314%7 Mar →
dust23–13-0.069%7 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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