ming fra vogna

ming fra vogna — CS2 Stats

TD76561198248608164[U:1:288342436]Steam profile ↗✓ No bans

959Tracked matches59%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 959 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 52 days played since 27 Jun 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,013 +2,485 31 Aug3 Jan · 26 days played
18,52822,787peak 22,78731 Aug3 Jan
22,787Peak Premier in tracked matches
1,320Highest Faceit ELO seen on CSDB
52Days played since 2025-06-27

Faceit ELO

  • At peak — 1,320
  • Next: Level 7 at 1,351 31 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-21
  • Level 5 first seen 2026-09-21

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGming fra vognaPEAK ELO1,320csdb.gg/stats

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Performance scores

Aim56
Positioning48
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY57394Last 10057%Win rateLWWLLWWWLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −4.4pp headshot accuracy · −35ms 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 603ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 613ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 630ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim5.6
Utility4.4
Positioning4.8
Opening Duels2.2
Clutch2.4

Strong CT-side opener

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

NiKo

Plays most like NiKo 87% 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

T-side openings. Opening success drops from 49% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 640ms 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

Aim5.6
Positioning4.8
Utility4.4
Mechanics7.0
Opening Duels2.4
Win Impact7.9

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time637ms+9ms
first ⅓ avg 629ms → last ⅓ avg 637ms
Headshot accuracy18.1%−0.9%
first ⅓ avg 19.0% → last ⅓ avg 18.1%

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.

Personal bests

0.17Best match rating · 5–0 · mirage, 22 Oct
36%Best headshot accuracy · 13–9 · mirage, 31 Aug
375msFastest reaction time · 1–10 · inferno, 27 Jun
13–1Biggest win · mirage, 29 Nov

Across the last 100 tracked matches.

Highlights

10Longest win streak
133In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 67% over 15ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA26161062%-0.01
overpassB168850%-0.01
nukeS1510567%-0.01
dust2A148657%-0.01
ancientC125742%0.00
infernoA106460%-0.03
palacio220100%0.00
vertigo21150%-0.00
cache1010%-0.05
golden1010%-0.01
train110100%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

562Matches
50%Win rate
0.93Avg K/D
81.0ADR
44%Headshot %

Clutches & streaks

32%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1638%0.8313.5
Anubis1145%0.9915.9
Vertigo1155%1.0118.3
Nuke729%1.0717.0
Overpass650%1.3620.3
Dust2475%1.4318.3
Ancient3100%0.9815.7
Inferno333%1.0314.0

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.

17.9%Headshot accuracy
31.5%Accuracy (enemy spotted)
33.6%Spray accuracy
81.4%Counter-strafing
10.6°Preaim
640msReaction time
27.5%T opening success
49.0%CT opening success
0.56Enemies flashed / flash
3.4%Flash assists
6.78HE damage / grenade
8.38Flashes / 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

    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 27.462% — below the 40% mark we flag

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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient7–130.0317%11 Sept
nuke13–70.0215%8 Sept
nuke13–4-0.0210%6 Sept
cache6–13-0.0523%8 May
nuke10–13-0.0415%27 Apr
ancient13–4-0.0419%10 Apr
mirage16–130.0215%10 Apr
nuke13–9-0.0717%5 Apr
overpass5–13-0.0315%4 Apr
mirage4–13-0.0619%15 Mar
mirage13–4-0.0420%8 Mar
dust213–11-0.0122%27 Feb
dust216–14-0.0116%25 Feb
inferno6–13-0.0617%3 Jan
dust216–130.0323%2 Jan
mirage5–13-0.0910%2 Jan
inferno13–8-0.0319%28 Dec
dust26–13-0.0523%28 Dec
mirage13–3-0.0433%28 Dec
mirage13–10.0125%29 Nov
nuke15–15-0.0314%29 Nov
overpass6–13-0.058%29 Nov
dust213–5-0.0426%22 Oct
mirage5–00.1713%22 Oct
overpass9–13-0.0221%9 Oct
mirage10–13-0.0320%9 Oct
palacio13–8-0.038%8 Oct
overpass13–30.1217%8 Oct
overpass13–16-0.0122%7 Oct
nuke13–110.0015%6 Oct
dust216–14-0.0417%6 Oct
overpass13–40.0021%6 Oct
golden10–13-0.0121%5 Oct
palacio13–50.0414%5 Oct
mirage13–4-0.0513%5 Oct
dust26–13-0.0714%5 Oct
mirage13–3-0.0421%4 Oct
overpass13–4-0.0311%4 Oct
ancient13–8-0.0310%3 Oct
nuke13–10-0.0213%3 Oct
mirage10–13-0.0417%3 Oct
inferno16–140.0018%1 Oct
ancient13–80.0520%1 Oct
overpass8–13-0.0317%1 Oct
mirage10–13-0.0612%30 Sept
nuke13–30.0314%30 Sept
nuke17–190.025%28 Sept
dust26–13-0.0512%28 Sept
overpass13–11-0.085%26 Sept
ancient5–13-0.0610%26 Sept
train13–11-0.0521%25 Sept
mirage5–13-0.0820%15 Sept
dust25–13-0.0830%14 Sept
ancient6–130.0323%13 Sept
dust28–13-0.0635%9 Sept
inferno9–13-0.0019%8 Sept
ancient6–13-0.0914%8 Sept
mirage13–110.0422%8 Sept
inferno15–15-0.0211%7 Sept
dust213–70.0312%7 Sept
mirage9–13-0.0717%7 Sept
overpass13–90.0021%7 Sept
nuke10–130.0113%7 Sept
mirage4–13-0.0914%5 Sept
nuke13–50.0213%5 Sept
mirage13–70.0127%5 Sept
nuke16–12-0.0423%5 Sept
mirage14–160.0212%5 Sept
mirage13–90.0126%4 Sept
inferno16–14-0.0012%3 Sept
dust26–130.0329%3 Sept
overpass9–13-0.0714%3 Sept
inferno13–50.0214%2 Sept
overpass13–110.0214%2 Sept
inferno13–30.0020%1 Sept
mirage13–6-0.0031%1 Sept
overpass13–70.0613%1 Sept
dust213–60.0719%31 Aug
mirage13–90.0036%31 Aug
mirage13–10-0.0216%31 Aug
ancient13–110.0320%23 Aug
nuke13–40.0524%23 Aug
overpass1–13-0.0218%23 Aug
ancient11–130.0327%22 Aug
overpass9–13-0.057%22 Aug
mirage13–7-0.0019%22 Aug
dust213–110.0828%22 Aug
ancient8–13-0.0414%18 Aug
mirage13–30.0825%11 Aug
ancient13–90.0921%4 Aug
inferno13–9-0.0217%3 Aug
mirage10–13-0.0319%2 Aug
overpass13–40.0614%2 Aug
nuke7–13-0.0414%2 Aug
mirage13–110.0217%5 Jul
vertigo12–12-0.0117%5 Jul
vertigo13–80.0117%3 Jul
nuke13–10-0.0114%30 Jun
ancient15–150.0424%27 Jun
inferno1–10-0.1313%27 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →