Von_Retee

Von_Retee — CS2 Stats

FI76561198015138241[U:1:54872513]Steam profile ↗✓ No bans

1,141Tracked matches67%Win rate2020Tracked since
3,717Hours in CS15Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating24,999Top 25% of 213,399 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#23042 of 260014 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,999 +2,400 26 Aug – 3 Nov · 14 days played
21,75824,999peak 24,99926 Aug3 Nov
24,999Peak Premier in tracked matches
1,545Highest Faceit ELO seen on CSDB
25Days played since 2026-07-16

Faceit ELO

  • At peak — 1,545
  • Next: Level 9 at 1,751 — 206 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • At peak — 24,999
  • +2,140 over 30 days · improving
  • Next: Red band at 25,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate44.6%46.9%49.3%4.6% short
Shot accuracy12.9%13.0%13.4%0.4% short
Kill/death ratio0.971.081.120.15 short
Match win rate45.2%46.7%48.5%3.3% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGVon_ReteePREMIER24,999 · Pink bandPEAK ELO1,545csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim69
Positioning56
Utility71

0–100 skill scores via Leetify.

Recent form

HOT53–41–6Last 10053%Win rateWWWWWWLLTW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −2.4pp headshot accuracy · −66ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 427ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 460ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 493ms

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 (+2.8 against its own average).

Aim6.9
Utility7.1
Positioning5.6
Opening Duels0.9
Clutch3.8

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

iM

Plays most like iM 70% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.9
Positioning5.6
Utility7.1
Mechanics4.7
Opening Duels1.7
Win Impact10.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time493ms−15ms
first ⅓ avg 507ms → last ⅓ avg 493ms
Headshot accuracy14.9%+0.4%
first ⅓ avg 14.5% → last ⅓ avg 14.9%

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

0.10Best match rating · 13–8 · ancient, 30 Oct →
33%Best headshot accuracy · 2–13 · mirage, 28 Sept →
328msFastest reaction time · 3–13 · mirage, 20 Aug →
13–1Biggest win · nuke, 20 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W6Current streak
6–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 88% over 8ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B3116–1552%-0.00
mirageA1810–856%-0.01
nukeA148–657%0.02
cacheA117–464%0.01
ancientD113–827%0.01
infernoS87–188%0.03
train—31–233%0.06
anubis—20–20%-0.04
vertigo—10–10%-0.01
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

104,808Lifetime kills
0.97K/D
4,642Matches
45.2%Match win rate
44.6%Headshot %
12.9%Shot accuracy
13,783MVPs
2,302Hours (in match)
8,812Bombs planted
1,515Bombs defused

Most-used weapons

AK-4735,999
AWP10,350
MAC-102,633
P2502,302
MP92,292
FAMAS1,711

Lifetime map wins

8,398inferno
6,927dust2
5,075nuke
3,108train
1,862vertigo
219lake
215cbble
64office

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

Faceit stats

Combat

958Matches
51%Win rate
1.02Avg K/D
74.2ADR
38%Headshot %

Clutches & streaks

39%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke5761%1.1715.6
Dust25538%1.0714.9
Inferno4540%0.9414.2
Overpass2770%1.1514.3
Mirage2752%1.0214.3
Train2572%1.3014.8
Anubis2335%0.9915.0
Ancient2348%0.9514.3

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.

14.5%Headshot accuracy
35.7%Accuracy (enemy spotted)
39.2%Spray accuracy
71.0%Counter-strafing
9.9°Preaim
496msReaction time
35.1%T opening success
38.7%CT opening success
0.63Enemies flashed / flash
8.4%Flash assists
9.06HE damage / grenade
16.53Flashes / 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 14.519% — below the 15% mark we flag

    Aim Training →
  2. 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 35.1181% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–90.017%3 Nov →
cache13–80.039%3 Nov →
cache13–110.1023%3 Nov →
dust213–90.0112%3 Nov →
cache13–70.0110%3 Nov →
inferno13–60.0016%3 Nov →
nuke6–130.0419%3 Nov →
anubis3–13-0.0916%3 Nov →
cache15–150.0713%30 Oct →
dust213–80.0213%30 Oct →
ancient13–80.1022%30 Oct →
mirage13–90.048%30 Oct →
ancient9–13-0.0111%30 Oct →
cache9–130.0017%30 Oct →
nuke13–100.0312%30 Oct →
dust213–90.0025%30 Oct →
cache13–5-0.0113%29 Oct →
mirage13–100.0112%29 Oct →
dust28–130.0324%29 Oct →
dust211–13-0.0418%21 Oct →
inferno7–00.0913%10 Oct →
inferno13–80.019%10 Oct →
nuke9–13-0.019%10 Oct →
dust213–100.0325%10 Oct →
ancient8–13-0.049%8 Oct →
cache13–60.0018%8 Oct →
dust212–12-0.0310%5 Oct →
dust213–50.0617%5 Oct →
dust211–130.0016%2 Oct →
dust212–12-0.0111%2 Oct →
inferno13–80.024%30 Sept →
dust213–10-0.0320%30 Sept →
mirage2–130.0033%28 Sept →
mirage13–20.0411%28 Sept →
dust213–60.0125%28 Sept →
mirage13–4-0.026%28 Sept →
inferno13–60.0217%28 Sept →
nuke10–130.0021%28 Sept →
nuke13–10-0.0214%28 Sept →
mirage11–13-0.056%28 Sept →
inferno10–130.0613%23 Sept →
ancient13–7-0.0122%23 Sept →
nuke10–13-0.0115%23 Sept →
dust210–130.058%23 Sept →
dust213–9-0.0313%23 Sept →
mirage5–13-0.0312%23 Sept →
nuke13–50.0619%22 Sept →
inferno13–10-0.0121%22 Sept →
nuke11–130.0017%21 Sept →
mirage8–4-0.0414%21 Sept →
nuke9–13-0.0022%21 Sept →
inferno13–100.0513%21 Sept →
ancient8–130.0120%21 Sept →
dust28–13-0.028%21 Sept →
train13–90.087%21 Sept →
dust212–12-0.0215%16 Sept →
mirage4–13-0.044%16 Sept →
nuke13–70.0521%16 Sept →
dust25–13-0.0613%16 Sept →
dust211–130.0226%16 Sept →
train7–130.0519%8 Sept →
vertigo7–13-0.0114%8 Sept →
dust212–120.0516%8 Sept →
dust213–11-0.0113%8 Sept →
dust25–13-0.0919%5 Sept →
dust26–13-0.0421%5 Sept →
dust213–3-0.0129%5 Sept →
nuke13–50.0816%5 Sept →
mirage10–13-0.0628%5 Sept →
dust213–40.0624%5 Sept →
dust29–13-0.008%3 Sept →
mirage6–13-0.0313%3 Sept →
train11–130.0516%26 Aug →
mirage12–120.0315%26 Aug →
anubis2–130.026%26 Aug →
mirage13–8-0.039%26 Aug →
cache4–13-0.0419%26 Aug →
dust27–13-0.0013%23 Aug →
overpass13–8-0.0312%23 Aug →
cache13–3-0.0217%23 Aug →
mirage13–2-0.0315%23 Aug →
dust213–10-0.0924%23 Aug →
mirage3–13-0.097%20 Aug →
nuke13–1-0.0015%20 Aug →
nuke16–130.0014%20 Aug →
ancient6–130.0110%18 Aug →
ancient4–130.0215%18 Aug →
mirage13–110.0321%18 Aug →
cache9–13-0.0112%17 Aug →
mirage13–110.0222%17 Aug →
dust213–90.0312%17 Aug →
dust213–11-0.0215%17 Aug →
ancient8–130.079%17 Aug →
ancient5–13-0.0425%17 Aug →
mirage13–50.029%4 Aug →
ancient13–50.0815%4 Aug →
cache16–14-0.049%28 Jul →
ancient9–13-0.0310%28 Jul →
dust213–5-0.0311%28 Jul →
dust213–70.0513%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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