venyetta

venyetta — CS2 Stats

76561198219263744[U:1:258998016]Steam profile ↗✓ No bans

2,922Tracked matches36%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
Premier CS Rating26,039Top 10% of 208,191 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#12850 of 255754 tracked
FaceitLevel 9 · 2,005 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 26,039 → 26,039
0Faceit ELO · 2,005 → 2,005
+4Tracked matches · now 2,922
−7.2ppWin rate · 42.9% → 35.7%

Rating over time

Premier CS Rating: 26,039 +217 13 Aug – 19 Oct · 13 days played
25,18526,152peak 26,15213 Aug19 Oct
Faceit ELO: 2,005 +0 31 Aug – 19 Oct · 4 observations
2,0052,005peak 2,00531 Aug19 Oct
26,152Peak Premier in tracked matches
2,005Highest Faceit ELO seen on CSDB
39Days played since 2026-08-05

Faceit ELO

  • At peak — 2,005
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 495 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-31
  • Level 9 first seen 2026-08-31

Premier CS Rating

  • 113 below peak (26,152)
  • +560 over 30 days · improving
  • Next: Gold band at 30,000 — 3,961 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-31
  • Pink band first seen 2026-08-31

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.

Share this profile

CSDB.GGvenyettaFACEITLevel 9 · 2,005 ELOSTANDINGTop 20.7% of rankedPREMIER26,039 · Red band30 DAYS0 ELOPEAK ELO2,005csdb.gg/stats

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Performance scores

Aim75
Positioning54
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateLLLWWWLLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −0.2pp headshot accuracy · +34ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 594ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 555ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 538ms

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 Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim7.5
Utility4.6
Positioning5.4
Opening Duels3.1
Clutch3.8

Effective flashes

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 97% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 →

CSDB Rating breakdown

Aim7.5
Positioning5.4
Utility4.6
Mechanics5.7
Opening Duels3.2
Win Impact0.2

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time531ms−18ms
first ⅓ avg 550ms → last ⅓ avg 531ms
Headshot accuracy19.8%+0.3%
first ⅓ avg 19.6% → last ⅓ avg 19.8%

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

0.06Best match rating · 10–13 · cache, 9 Sept →
75%Best headshot accuracy · 0–4 · cache, 29 Sept →
375msFastest reaction time · 13–6 · ancient, 24 Aug →
13–1Biggest win · cache, 28 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
2–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 60% over 10trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C197–1237%-0.03
mirageC187–1139%-0.03
cacheC166–1038%-0.04
infernoB158–753%-0.02
ancientA106–460%-0.03
anubisB84–450%-0.00
nukeD72–529%-0.04
trainD51–420%-0.05
overpass—11–0100%-0.01
vertigo—10–10%-0.10

Across the last 100 tracked matches.

Faceit stats

Combat

685Matches
55%Win rate
0.87Avg K/D
69.3ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
17%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage16150%0.8712.7
Ancient14860%0.9213.5
Dust29456%0.8312.8
Anubis9351%0.9815.7
Inferno9051%0.8012.8
Nuke3053%0.7912.4
Overpass2572%0.9114.4
Train1560%0.7410.1

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.

17.6%Headshot accuracy
34.8%Accuracy (enemy spotted)
38.2%Spray accuracy
75.9%Counter-strafing
9.0°Preaim
528msReaction time
43.1%T opening success
42.7%CT opening success
0.72Enemies flashed / flash
7.3%Flash assists
8.45HE damage / grenade
5.38Flashes / match

Recommended for you

Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke6–130.0127%20 Oct →
dust29–13-0.0420%19 Oct →
inferno10–130.0624%19 Oct →
mirage13–8-0.059%19 Oct →
inferno13–6-0.0233%16 Oct →
cache13–8-0.0113%15 Oct →
dust27–130.0017%14 Oct →
ancient14–16-0.0611%14 Oct →
ancient13–50.0213%12 Oct →
mirage13–9-0.047%12 Oct →
mirage16–12-0.0024%12 Oct →
inferno10–130.0219%11 Oct →
dust210–13-0.0216%10 Oct →
inferno7–13-0.0413%10 Oct →
dust26–13-0.0722%10 Oct →
nuke5–40.0515%8 Oct →
cache8–13-0.0517%7 Oct →
train1–13-0.0920%7 Oct →
mirage13–9-0.0719%7 Oct →
train12–12-0.0411%6 Oct →
cache6–13-0.0314%6 Oct →
anubis9–13-0.0220%6 Oct →
mirage8–13-0.0022%6 Oct →
cache13–50.0115%5 Oct →
nuke13–8-0.0717%5 Oct →
inferno4–1-0.0836%5 Oct →
inferno12–12-0.0018%1 Oct →
cache5–7-0.0812%1 Oct →
cache0–4-0.1275%29 Sept →
cache5–13-0.089%29 Sept →
dust210–13-0.0832%28 Sept →
train13–3-0.0023%25 Sept →
ancient13–11-0.0811%24 Sept →
anubis13–40.0124%24 Sept →
mirage3–13-0.0312%17 Sept →
anubis13–40.0126%17 Sept →
inferno6–130.0224%17 Sept →
dust213–5-0.0117%17 Sept →
mirage13–4-0.0023%16 Sept →
inferno13–8-0.0420%16 Sept →
anubis11–13-0.0321%16 Sept →
mirage6–13-0.1340%14 Sept →
nuke12–12-0.0614%14 Sept →
dust213–60.0121%14 Sept →
inferno13–80.0137%13 Sept →
overpass13–9-0.0112%13 Sept →
mirage8–13-0.0616%13 Sept →
cache4–13-0.080%13 Sept →
cache10–130.0620%9 Sept →
mirage7–13-0.0922%9 Sept →
mirage4–13-0.0124%7 Sept →
dust25–13-0.0024%7 Sept →
train6–13-0.0226%6 Sept →
cache11–13-0.0316%6 Sept →
vertigo0–13-0.100%6 Sept →
cache10–130.0119%6 Sept →
nuke1–6-0.120%6 Sept →
ancient10–13-0.0713%6 Sept →
ancient13–11-0.0311%2 Sept →
nuke10–13-0.0421%2 Sept →
inferno13–9-0.0328%1 Sept →
inferno13–9-0.0816%1 Sept →
cache13–60.0018%30 Aug →
cache0–5-0.1067%30 Aug →
dust213–10-0.0822%30 Aug →
mirage0–13-0.0425%28 Aug →
dust20–13-0.020%28 Aug →
cache13–1-0.0310%28 Aug →
cache13–3-0.0624%28 Aug →
inferno19–160.0223%28 Aug →
ancient13–5-0.0821%28 Aug →
dust213–8-0.0727%28 Aug →
dust23–13-0.0824%27 Aug →
dust213–7-0.0221%26 Aug →
ancient13–60.0425%24 Aug →
dust211–13-0.0424%23 Aug →
dust213–80.0222%23 Aug →
ancient13–16-0.0720%22 Aug →
dust26–130.0423%22 Aug →
inferno8–13-0.0415%22 Aug →
cache13–9-0.0324%22 Aug →
mirage8–130.0015%22 Aug →
train3–13-0.0818%22 Aug →
inferno7–130.0118%14 Aug →
anubis11–130.0315%14 Aug →
mirage13–1-0.0017%14 Aug →
ancient13–60.0417%14 Aug →
ancient1–13-0.0322%14 Aug →
mirage10–13-0.0421%13 Aug →
mirage9–13-0.0829%13 Aug →
dust22–13-0.0735%13 Aug →
dust24–13-0.0626%13 Aug →
anubis13–8-0.0514%10 Aug →
dust213–8-0.0716%8 Aug →
anubis8–40.0413%8 Aug →
mirage3–13-0.0115%8 Aug →
nuke13–7-0.0216%6 Aug →
mirage13–50.0310%6 Aug →
anubis12–12-0.0316%6 Aug →
inferno13–7-0.078%5 Aug →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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