viaxdolphin

viaxdolphin — CS2 Stats

76561198079091103[U:1:118825375]Steam profile ↗✓ No bans

246Tracked matches38%Win rate2020Tracked since
CSDB Rating2.6 LearningSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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

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Performance scores

Aim24
Positioning27
Utility36

0–100 skill scores via Leetify.

Recent form

COLD44–47–9Last 10044%Win rateTWLLLLLTLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +2.5pp headshot accuracy · −41ms reaction

Win rate down 20pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 630ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 613ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 634ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim2.4
Utility3.6
Positioning2.7
Opening Duels0.0

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

ZywOo

Plays most like ZywOo 72% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 24% on CT to 6% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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
Positioning2.7
Utility3.6
Mechanics4.6
Opening Duels0.0
Win Impact1.2

Composite 2.6/10 (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-0.05−0.04
first ⅓ avg -0.01 → last ⅓ avg -0.05
Reaction time640ms+24ms
first ⅓ avg 616ms → last ⅓ avg 640ms
Headshot accuracy8.2%−4.1%
first ⅓ avg 12.3% → last ⅓ avg 8.2%

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

0.09Best match rating · 16–13 · cache, 15 Dec →
33%Best headshot accuracy · 16–2 · mirage, 25 Dec →
379msFastest reaction time · 13–16 · inferno, 8 Jan →
16–2Biggest win · dust2, 15 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–6In matches decided by ≤2 rounds
76Overtime games

Map breakdown

overpassBest map · 60% over 15ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC2811–1739%-0.02
mirageC187–1139%-0.04
overpassA159–660%-0.03
nukeB136–746%-0.03
dust2D82–625%-0.04
ancientD51–420%-0.02
vertigoA53–260%-0.00
cache—32–167%0.03
anubis—11–0100%-0.01
italy—11–0100%-0.01
workshop/1542127528/de_cbble—11–0100%-0.08
cbble—10–10%-0.06
train—10–10%-0.05

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.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.1%Headshot accuracy
28.0%Accuracy (enemy spotted)
35.3%Spray accuracy
70.6%Counter-strafing
13.3°Preaim
630msReaction time
6.3%T opening success
24.1%CT opening success
0.65Enemies flashed / flash
8.7%Flash assists
10.01HE damage / grenade
11.40Flashes / 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 13.2591° — above the 12° mark we flag

    Aim Training →
  2. 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 8.0623% — below the 15% mark we flag

    Aim Training →
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

MapScoreRatingHS%Date
mirage12–12-0.046%20 Apr →
dust213–1-0.0313%20 Apr →
inferno3–13-0.0511%20 Apr →
dust26–13-0.0521%15 Apr →
inferno6–13-0.080%12 Apr →
dust25–13-0.0510%12 Apr →
overpass5–13-0.067%12 Apr →
dust212–12-0.0713%4 Oct →
ancient11–13-0.0512%4 Oct →
nuke13–9-0.026%4 Oct →
inferno8–13-0.0315%4 Oct →
nuke12–12-0.100%20 Feb →
nuke7–3-0.0911%20 Feb →
anubis9–0-0.010%3 Sept →
mirage16–14-0.0515%3 Jul →
nuke12–16-0.014%3 Jul →
inferno14–16-0.0616%3 Jul →
mirage16–13-0.063%5 Mar →
nuke11–16-0.108%4 Feb →
nuke15–15-0.093%8 Oct →
mirage5–3-0.070%8 Oct →
dust212–16-0.025%3 Oct →
ancient10–16-0.036%3 Oct →
italy22–19-0.017%11 Sept →
workshop/1542127528/de_cbble16–8-0.083%11 Sept →
cbble9–16-0.0612%11 Sept →
mirage8–16-0.039%19 Aug →
vertigo16–80.003%3 Aug →
train11–16-0.0510%28 Jun →
dust27–16-0.087%26 May →
inferno23–25-0.047%24 May →
mirage7–16-0.0112%24 May →
overpass16–120.0015%19 May →
inferno19–15-0.044%19 May →
nuke8–16-0.0213%17 May →
dust216–20.0211%15 May →
mirage9–16-0.0517%9 Apr →
inferno16–9-0.057%5 Apr →
mirage7–9-0.1312%28 Mar →
overpass7–16-0.0913%20 Mar →
nuke16–130.0310%20 Mar →
inferno16–90.045%5 Mar →
mirage16–11-0.049%5 Mar →
inferno6–160.028%4 Mar →
inferno16–6-0.0221%24 Feb →
nuke19–150.0110%24 Feb →
inferno12–16-0.059%13 Feb →
inferno0–11-0.080%13 Feb →
inferno16–10-0.0024%11 Feb →
vertigo14–16-0.048%5 Feb →
cache9–16-0.009%5 Feb →
inferno16–4-0.025%3 Feb →
inferno16–110.048%28 Jan →
overpass4–16-0.1010%27 Jan →
inferno13–160.035%24 Jan →
mirage17–19-0.0410%17 Jan →
nuke16–13-0.028%16 Jan →
mirage19–150.0116%14 Jan →
inferno8–16-0.0415%14 Jan →
overpass16–7-0.079%10 Jan →
inferno13–160.0110%8 Jan →
mirage1–12-0.0818%8 Jan →
nuke16–7-0.0012%8 Jan →
inferno12–16-0.0212%8 Jan →
ancient19–22-0.009%7 Jan →
overpass16–9-0.019%7 Jan →
inferno16–12-0.007%6 Jan →
overpass11–16-0.0512%6 Jan →
overpass25–22-0.038%4 Jan →
inferno4–160.018%4 Jan →
mirage9–16-0.0417%4 Jan →
inferno13–160.0320%31 Dec →
overpass16–70.0819%31 Dec →
mirage7–16-0.0711%30 Dec →
overpass16–80.0117%30 Dec →
inferno6–16-0.0116%30 Dec →
cache16–12-0.0113%29 Dec →
nuke8–80.054%29 Dec →
overpass16–4-0.036%29 Dec →
mirage16–6-0.066%28 Dec →
inferno15–15-0.0212%28 Dec →
overpass16–40.034%28 Dec →
overpass8–0-0.029%28 Dec →
mirage16–20.0333%25 Dec →
vertigo9–60.0210%24 Dec →
ancient9–20.077%24 Dec →
inferno16–70.0718%24 Dec →
overpass15–15-0.0514%24 Dec →
mirage15–15-0.0114%22 Dec →
nuke12–160.0115%22 Dec →
mirage10–16-0.0314%21 Dec →
inferno8–16-0.103%21 Dec →
inferno16–130.048%19 Dec →
vertigo16–14-0.0012%19 Dec →
ancient2–6-0.0917%19 Dec →
overpass9–16-0.057%17 Dec →
dust211–16-0.0514%17 Dec →
inferno16–12-0.0415%16 Dec →
vertigo8–8-0.0112%16 Dec →
cache16–130.0913%15 Dec →

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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