SilraVen

SilraVen — CS2 Stats

US76561198104917620[U:1:144651892]Steam profile ↗✓ No bans

885Tracked matches50%Win rate2020Tracked since
2,109Hours in CS2Hrs last 2 wks
CSDB Rating2.4 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,237 → 1,237
+3Tracked matches · now 885
+1.7ppWin rate · 48.3% → 50.0%

Rating over time

Premier CS Rating: 14,111 +176 4 Jan – 6 Jul · 21 days played
12,54314,895peak 14,8954 Jan6 Jul
Faceit ELO: 1,237 +0 1 Sept – 23 Sept · 4 observations
1,2371,237peak 1,2371 Sept23 Sept
14,999Peak Premier in tracked matches
1,237Highest Faceit ELO seen on CSDB
48Days played since 2026-01-04

Faceit ELO

  • At peak — 1,237
  • Next: Level 7 at 1,351 — 114 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-01
  • Level 5 first seen 2026-09-01

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches6——
Win rate50%——
K/D0.46——
Headshot %42%——

Measured 17 Sep 2026 → 18 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGSilraVenPEAK ELO1,237csdb.gg/stats

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Performance scores

Aim24
Positioning44
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateTWLLLLWLWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −2.4pp headshot accuracy · +7ms reaction

Win rate 0pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 627ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 667ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 663ms

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 (+1.6 against its own average).

Aim2.4
Utility3.4
Positioning4.4
Opening Duels1.1
Clutch2.2

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

donk

Plays most like donk 67% 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. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 51% 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

Aim2.4
Positioning4.4
Utility3.4
Mechanics0.3
Opening Duels0.3
Win Impact5.0

Composite 2.4/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time665ms+74ms
first ⅓ avg 590ms → last ⅓ avg 665ms
Headshot accuracy12.7%+0.3%
first ⅓ avg 12.4% → last ⅓ avg 12.7%

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

0.12Best match rating · 13–9 · mirage, 28 Feb →
33%Best headshot accuracy · 3–13 · dust2, 3 May →
453msFastest reaction time · 7–13 · inferno, 16 Aug →
13–3Biggest win · cache, 27 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
13–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 67% over 12ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB189–950%-0.03
infernoC176–1135%-0.03
dust2B157–847%-0.03
anubisD124–833%-0.05
overpassS128–467%-0.03
cacheC114–736%-0.04
trainD62–433%-0.01
ancientD51–420%-0.06
mirage—42–250%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,440Lifetime kills
0.92K/D
2,653Matches
43.3%Match win rate
37.0%Headshot %
16.5%Shot accuracy · Top 25% of tracked players
5,322MVPs
1,112Hours (in match)
2,387Bombs planted
856Bombs defused

Most-used weapons

AK-4710,810
AWP3,052
SG 5532,086
MAC-101,592
AUG1,547
P901,525
FAMAS1,353

Lifetime map wins

4,715dust2
4,056inferno
2,104nuke
1,582train
896vertigo
602cbble
95office
60safehouse

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

Faceit stats

Combat

458Matches
50%Win rate
0.83Avg K/D
67.3ADR
38%Headshot %

Clutches & streaks

31%1v1 clutch win
10%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno4337%0.7411.9
Ancient3959%0.9014.0
Anubis2759%0.8713.0
Nuke2548%0.7112.2
Mirage2348%0.9013.8
Train1963%0.8212.5
Overpass1060%0.8011.2
Dust2967%0.8913.1

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.

12.9%Headshot accuracy
30.8%Accuracy (enemy spotted)
36.2%Spray accuracy
51.4%Counter-strafing
11.6°Preaim
652msReaction time
26.0%T opening success
32.0%CT opening success
0.45Enemies flashed / flash
3.1%Flash assists
4.99HE damage / grenade
6.43Flashes / 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 12.9365% — 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 0.4547 — 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 26.0266% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–12-0.0215%25 Sept →
mirage13–9-0.015%12 Sept →
cache11–13-0.0115%20 Aug →
inferno7–13-0.0116%16 Aug →
cache5–13-0.105%16 Aug →
anubis10–13-0.038%13 Aug →
anubis13–10-0.0511%12 Aug →
anubis3–13-0.109%21 Jul →
cache13–4-0.0210%21 Jul →
inferno13–10-0.0312%20 Jul →
dust210–13-0.0223%20 Jul →
nuke6–130.0315%18 Jul →
cache11–13-0.057%18 Jul →
inferno13–4-0.0219%18 Jul →
cache2–13-0.139%7 Jul →
nuke11–13-0.0813%6 Jul →
dust216–14-0.0114%6 Jul →
nuke13–10-0.0116%30 Jun →
inferno3–13-0.073%27 Jun →
cache13–3-0.0212%27 Jun →
overpass13–110.026%23 Jun →
train7–13-0.038%20 Jun →
dust26–13-0.0714%20 Jun →
overpass13–70.0112%18 Jun →
inferno15–15-0.0213%18 Jun →
dust213–8-0.0221%18 Jun →
anubis8–13-0.0732%17 Jun →
nuke13–110.0314%18 May →
anubis13–6-0.0413%9 May →
cache13–4-0.0215%9 May →
cache10–13-0.029%9 May →
inferno10–13-0.0413%4 May →
cache6–13-0.0912%3 May →
cache13–9-0.0112%3 May →
nuke16–13-0.0413%3 May →
dust23–13-0.0533%3 May →
nuke2–13-0.0713%3 May →
overpass13–11-0.024%3 May →
overpass13–16-0.0313%2 May →
dust24–13-0.0518%13 Apr →
nuke15–15-0.0910%13 Apr →
dust210–13-0.0120%5 Apr →
inferno16–14-0.0112%5 Apr →
inferno5–13-0.069%19 Mar →
nuke13–9-0.058%18 Mar →
overpass5–13-0.0912%18 Mar →
mirage6–13-0.028%18 Mar →
anubis5–13-0.0513%18 Mar →
nuke10–13-0.0511%17 Mar →
mirage4–13-0.079%17 Mar →
inferno5–13-0.086%12 Mar →
dust27–13-0.057%12 Mar →
nuke13–10-0.0517%12 Mar →
dust213–11-0.0422%11 Mar →
mirage13–90.1212%28 Feb →
inferno5–20.0215%19 Feb →
dust216–130.0113%18 Feb →
inferno8–13-0.056%16 Feb →
nuke13–100.018%16 Feb →
dust213–11-0.0311%12 Feb →
inferno9–13-0.0613%11 Feb →
ancient13–7-0.019%11 Feb →
anubis11–13-0.048%11 Feb →
overpass13–11-0.0110%10 Feb →
nuke9–13-0.0212%8 Feb →
anubis8–13-0.0625%2 Feb →
dust211–13-0.0225%1 Feb →
overpass4–13-0.1011%1 Feb →
nuke13–11-0.0111%1 Feb →
ancient15–15-0.069%30 Jan →
anubis9–13-0.0816%30 Jan →
nuke13–90.0211%30 Jan →
nuke13–90.0517%28 Jan →
ancient8–13-0.0514%25 Jan →
dust213–110.0113%25 Jan →
anubis4–13-0.1218%25 Jan →
nuke8–13-0.0513%21 Jan →
anubis13–90.0120%21 Jan →
anubis13–4-0.0311%21 Jan →
inferno6–13-0.065%21 Jan →
overpass13–7-0.029%21 Jan →
overpass13–40.058%21 Jan →
nuke6–13-0.0515%19 Jan →
overpass13–11-0.0219%19 Jan →
inferno16–13-0.0617%17 Jan →
train13–100.025%17 Jan →
dust27–13-0.028%17 Jan →
train9–130.007%17 Jan →
inferno15–15-0.0211%9 Jan →
train9–130.0113%9 Jan →
overpass2–0-0.080%9 Jan →
dust213–10-0.0115%9 Jan →
ancient11–13-0.0714%9 Jan →
ancient3–13-0.1026%7 Jan →
train13–110.0115%7 Jan →
inferno13–70.0113%7 Jan →
overpass9–13-0.0727%4 Jan →
train10–13-0.086%4 Jan →
inferno10–13-0.024%4 Jan →
nuke7–13-0.028%4 Jan →

Match data via Leetify.

Recent teammates

Milestones

500 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.