Vossman

Vossman — CS2 Stats

DE76561198028977314[U:1:68711586]Steam profile ↗✓ No bans

4,450Tracked matches48%Win rate2020Tracked since
8,077Hours in CS47Hrs last 2 wks
CSDB Rating4.0 DevelopingSupport
Premier CS Rating13,736Blue band · top ~35.1% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

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

+714Premier CS Rating · 13,022 → 13,736

Rating over time

Premier CS Rating: 13,736 -2,071 9 Sept – 3 Nov · 16 days played
12,55115,807peak 15,8079 Sept3 Nov
15,807Peak Premier in tracked matches
16Days played since 2026-09-09

Premier CS Rating

  • 2,071 below peak (15,807)
  • Next: Purple band at 15,000 — 1,264 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-09-09

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 Level 3 among CSDB-tracked players (n=10,505), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate43.5%41.8%42.7%meets
Shot accuracy9.8%12.2%11.2%1.5% short
Kill/death ratio1.000.980.99meets
Match win rate45.5%43.3%43.9%above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGVossmanFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,736 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning39
Utility64

0–100 skill scores via Leetify.

Recent form

HOT44–50–6Last 10044%Win rateWLWWWLWWWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −3.2pp headshot accuracy · −66ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 574ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 582ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 615ms

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 (+2.9 against its own average).

Aim4.6
Utility6.4
Positioning3.9
Opening Duels0.0
Clutch3.6

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 63% 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

Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.6
Positioning3.9
Utility6.4
Mechanics3.8
Opening Duels0.3
Win Impact4.4

Composite 4.0/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time604ms−56ms
first ⅓ avg 660ms → last ⅓ avg 604ms
Headshot accuracy17.8%−1.9%
first ⅓ avg 19.6% → last ⅓ avg 17.8%

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

0.14Best match rating · 13–1 · inferno, 16 Oct →
40%Best headshot accuracy · 8–13 · ancient, 20 Oct →
430msFastest reaction time · 3–13 · inferno, 28 Oct →
13–1Biggest win · inferno, 16 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 73% over 11dust2Weakest map · 20% over 25
MapGradePlayedRecordWin rateAvg rating
dust2D255–2020%0.00
infernoB178–947%0.01
cacheC145–936%-0.02
mirageB136–746%-0.01
ancientA117–464%-0.00
nukeS118–373%0.02
anubisA95–456%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

180,193Lifetime kills
1.00K/D · Top 50% of Level 3 players
10,357Matches
45.5%Match win rate · Top 50% of Level 3 players
43.5%Headshot % · Top 50% of Level 3 players
9.8%Shot accuracy
22,638MVPs
4,472Hours (in match)
12,108Bombs planted
2,209Bombs defused

Most-used weapons

AK-4739,717
AWP11,292
SSG 0810,162
FAMAS6,653
P2506,400
Tec-95,937

Lifetime map wins

28,377dust2
24,143inferno
5,851nuke
5,450office
3,779vertigo
1,731italy
1,568train
1,349lake

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

Faceit stats

Combat

32Matches
44%Win rate
0.79Avg K/D
71.7ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2757%0.8513.4
Ancient667%0.7812.8
Mirage1100%0.509.0
Nuke10%0.6911.0
Anubis1100%0.556.0

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.

17.7%Headshot accuracy
27.3%Accuracy (enemy spotted)
31.0%Spray accuracy
67.0%Counter-strafing
8.3°Preaim
614msReaction time
30.3%T opening success
32.0%CT opening success
0.49Enemies flashed / flash
3.9%Flash assists
9.29HE damage / grenade
15.73Flashes / 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. 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 0.4862 — below the 0.5 mark we flag

    Grenade Lineups →
  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 30.3361% — below the 40% mark we flag

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.

20% win rate across 25 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
ancient16–130.0224%3 Nov →
dust210–13-0.0619%3 Nov →
anubis13–8-0.038%3 Nov →
inferno13–90.078%3 Nov →
ancient13–30.0823%3 Nov →
nuke2–130.0624%3 Nov →
anubis13–50.0421%2 Nov →
mirage13–110.0114%2 Nov →
anubis13–5-0.0114%2 Nov →
dust24–130.0017%1 Nov →
nuke4–13-0.0617%30 Oct →
dust213–50.0426%30 Oct →
dust215–150.1119%30 Oct →
dust26–13-0.0025%30 Oct →
dust29–13-0.0113%29 Oct →
cache5–13-0.0824%29 Oct →
cache13–20.0715%29 Oct →
dust213–30.0724%29 Oct →
ancient7–13-0.0628%29 Oct →
anubis13–11-0.0011%28 Oct →
dust27–13-0.0126%28 Oct →
mirage13–5-0.0113%28 Oct →
anubis11–13-0.0213%28 Oct →
cache13–70.0916%28 Oct →
inferno13–40.0417%28 Oct →
cache9–13-0.0923%28 Oct →
inferno3–13-0.0311%28 Oct →
anubis2–13-0.0413%28 Oct →
cache6–13-0.0421%26 Oct →
inferno9–13-0.0110%24 Oct →
cache8–13-0.0416%24 Oct →
cache13–10-0.0421%24 Oct →
inferno13–70.0614%24 Oct →
cache6–13-0.0112%23 Oct →
nuke13–90.0532%23 Oct →
mirage8–130.0323%23 Oct →
anubis13–90.0416%23 Oct →
mirage13–90.0312%23 Oct →
mirage8–13-0.0514%23 Oct →
inferno6–13-0.0514%22 Oct →
mirage8–13-0.0421%22 Oct →
inferno13–90.0018%22 Oct →
cache6–13-0.0517%22 Oct →
nuke13–80.0110%22 Oct →
anubis8–130.0115%21 Oct →
ancient13–11-0.039%21 Oct →
nuke13–11-0.0118%21 Oct →
inferno9–130.0114%21 Oct →
anubis9–130.0110%21 Oct →
dust211–130.0521%21 Oct →
dust211–130.0213%21 Oct →
ancient16–120.019%21 Oct →
cache6–130.0429%21 Oct →
ancient13–90.0520%21 Oct →
dust212–12-0.0519%21 Oct →
ancient9–13-0.0419%21 Oct →
inferno7–13-0.0721%21 Oct →
mirage8–13-0.0015%21 Oct →
cache9–13-0.0421%20 Oct →
ancient8–13-0.0340%20 Oct →
mirage16–14-0.0118%19 Oct →
mirage5–13-0.0218%19 Oct →
dust210–13-0.0421%19 Oct →
cache13–10-0.0332%19 Oct →
dust212–120.0313%19 Oct →
inferno13–8-0.0526%19 Oct →
dust213–100.0122%19 Oct →
ancient13–7-0.0330%19 Oct →
mirage13–11-0.045%19 Oct →
dust23–13-0.0729%19 Oct →
nuke13–100.0521%19 Oct →
inferno10–130.0211%19 Oct →
inferno4–130.0115%18 Oct →
dust24–13-0.0433%17 Oct →
dust212–120.0318%17 Oct →
dust211–130.0327%17 Oct →
dust28–13-0.0115%17 Oct →
inferno13–100.0717%16 Oct →
nuke13–100.0218%16 Oct →
nuke10–130.0619%16 Oct →
nuke13–7-0.0516%16 Oct →
ancient4–10.0916%16 Oct →
dust210–13-0.0124%16 Oct →
dust212–120.0420%16 Oct →
ancient11–13-0.0817%16 Oct →
dust213–80.0413%16 Oct →
inferno4–13-0.0428%16 Oct →
dust213–110.0539%16 Oct →
cache12–12-0.0511%16 Oct →
cache13–60.0511%16 Oct →
inferno13–10.1422%16 Oct →
dust25–13-0.0323%16 Oct →
mirage0–13-0.089%16 Oct →
nuke13–100.0517%16 Oct →
dust28–13-0.0910%16 Oct →
mirage9–130.0129%16 Oct →
mirage13–30.0222%16 Oct →
inferno13–70.0619%16 Oct →
inferno4–13-0.0119%16 Oct →
nuke13–90.0325%16 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.