Vidar

Vidar — CS2 Stats

PL76561198871041758[U:1:910776030]Steam profile ↗✓ No bans

185Tracked matches66%Win rate2023Tracked since
CSDB Rating4.4 Developing
Premier CS Rating13,465Blue band · top ~36.5% of ranked players (population est.)
CSDB Leaderboard#34270 of 52709 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGVidarFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,465 · Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning47
Utility26

0–100 skill scores via Leetify.

Recent form

HOT51445Last 10051%Win rateWWWLWWLLWW

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

Player DNA

Aim4.7
Aggression7.1
Utility2.6
Positioning4.7
Opening Duels2.8
Clutch2.6

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

b1t

Plays most like b1t 79% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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 55% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 664ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.7
Positioning4.7
Utility2.6
Mechanics4.1
Opening Duels3.1
Win Impact10.0

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg 0.00
Reaction time684ms+8ms
first ⅓ avg 676ms → last ⅓ avg 684ms
Headshot accuracy14.3%−2.7%
first ⅓ avg 17.0% → last ⅓ avg 14.3%

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

0.17Best rating — nuke 9–4
131Biggest win — anubis
4Longest win streak
W3Current streak
97In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 67% over 18anubisWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
nukeB26131350%-0.02
mirageS1812667%-0.01
dust2B189950%-0.01
ancientB168850%-0.02
anubisC114736%-0.00
cache42250%-0.05
vertigo42250%-0.03
inferno1010%-0.01
overpass1010%-0.01
train110100%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

31Matches
55%Win rate
0.79Avg K/D
67.8ADR
44%Headshot %

Clutches & streaks

33%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1060%0.7610.7
Dust2771%0.9812.9
Ancient650%0.9415.2
Nuke333%0.5410.0
Inferno250%0.589.0
Anubis10%0.5310.0
Cache10%0.8814.0

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.

14.6%Headshot accuracy
34.3%Accuracy (enemy spotted)
36.7%Spray accuracy
68.6%Counter-strafing
10.1°Preaim
664msReaction time
27.8%T opening success
54.6%CT opening success
0.49Enemies flashed / flash
3.8%Flash assists
9.16HE damage / grenade
4.40Flashes / 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. 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 14.609% — below the 15% 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 0.4914 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 27.844% — below the 40% mark we flag

Spend your practice time on Anubis

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–11-0.0114%16 Aug
nuke9–3-0.0610%15 Aug
mirage13–80.039%15 Aug
dust210–13-0.0113%8 Aug
nuke13–4-0.029%7 Aug
nuke9–20.1222%3 Aug
nuke7–9-0.007%3 Aug
ancient11–13-0.0713%2 Aug
dust213–7-0.0116%2 Aug
mirage13–3-0.047%2 Aug
mirage13–100.0618%2 Aug
anubis8–130.0326%2 Aug
anubis11–13-0.0415%1 Aug
anubis13–11-0.0211%31 Jul
ancient13–8-0.0317%31 Jul
anubis15–150.0421%31 Jul
mirage13–6-0.1111%31 Jul
mirage13–3-0.029%31 Jul
nuke9–70.096%31 Jul
nuke1–9-0.2323%29 Jul
ancient13–40.0817%28 Jul
mirage13–90.0617%28 Jul
anubis13–10.1626%27 Jul
dust213–70.1233%26 Jul
inferno9–13-0.0112%26 Jul
anubis10–13-0.0314%26 Jul
dust25–13-0.0418%26 Jul
nuke9–30.005%26 Jul
mirage13–4-0.008%26 Jul
mirage9–13-0.068%25 Jul
nuke7–130.049%25 Jul
nuke13–6-0.039%25 Jul
cache13–40.0120%25 Jul
mirage11–13-0.0020%25 Jul
ancient13–50.0611%25 Jul
dust213–7-0.027%25 Jul
nuke1–9-0.1910%24 Jul
anubis13–11-0.0128%24 Jul
mirage13–110.1115%24 Jul
dust25–13-0.0523%24 Jul
dust210–13-0.0124%23 Jul
ancient4–130.049%23 Jul
ancient7–13-0.0410%23 Jul
dust213–8-0.0312%23 Jul
ancient13–70.0210%22 Jul
dust211–130.017%22 Jul
anubis9–13-0.0111%22 Jul
dust25–13-0.086%22 Jul
nuke6–9-0.1216%22 Jul
nuke9–40.1723%21 Jul
mirage14–16-0.0813%21 Jul
nuke9–70.0325%21 Jul
ancient13–10-0.0011%21 Jul
mirage16–130.0516%21 Jul
dust216–13-0.055%21 Jul
ancient5–130.049%20 Jul
ancient13–9-0.0611%20 Jul
mirage13–20.094%20 Jul
nuke6–9-0.0817%20 Jul
nuke4–9-0.0222%20 Jul
ancient13–16-0.0212%19 Jul
anubis6–13-0.1011%19 Jul
mirage1–13-0.0535%19 Jul
dust213–5-0.0325%19 Jul
ancient13–10-0.0716%19 Jul
dust216–14-0.0413%19 Jul
ancient6–13-0.078%19 Jul
nuke6–9-0.0025%19 Jul
ancient13–5-0.0415%18 Jul
nuke13–1-0.0110%18 Jul
dust28–130.0911%18 Jul
nuke8–8-0.0819%18 Jul
vertigo9–40.1425%17 Jul
vertigo9–60.1413%17 Jul
nuke8–8-0.130%11 Jul
mirage13–8-0.0511%11 Jul
cache7–13-0.079%6 Jul
nuke13–1-0.0113%6 Jul
dust213–50.029%6 Jul
nuke9–60.129%4 Jul
nuke5–00.0746%2 Jul
ancient2–13-0.1013%30 Jun
nuke7–9-0.0932%30 Jun
mirage15–15-0.047%28 Jun
mirage13–7-0.0615%27 Jun
dust29–13-0.0419%27 Jun
dust29–13-0.0322%27 Jun
overpass12–12-0.0117%27 Jun
cache5–13-0.0612%27 Jun
dust213–10-0.0513%24 Jun
ancient7–13-0.0520%24 Jun
train13–7-0.0720%23 Jun
nuke2–9-0.1038%23 Jun
nuke9–70.1215%23 Jun
mirage7–13-0.1023%20 Jun
anubis9–13-0.0227%20 Jun
vertigo0–9-0.2119%20 Jun
cache13–11-0.0814%19 Jun
vertigo4–9-0.197%19 Jun
nuke9–13-0.0615%19 Jun

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 →