siLva

siLva — CS2 Stats

76561197963102767[U:1:2837039]Steam profile ↗✓ No bans

2,926Tracked matches54%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating18,195Purple band · top ~15.7% of ranked players (population est.)
FaceitLevel 7 · 897 ELOTop 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 18,195 +2,520 29 Aug – 30 Oct · 28 days played
15,00019,295peak 19,29529 Aug30 Oct
Faceit ELO: 897 +0 29 Aug – 24 Sept · 4 observations
897897peak 89729 Aug24 Sept
19,367Peak Premier in tracked matches
897Highest Faceit ELO seen on CSDB
27Days played since 2026-08-29

Faceit ELO

  • At peak — 897
  • 0 over 30 days · steady
  • Next: Level 4 at 901 — 4 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-29
  • Level 2 first seen 2026-08-29

Premier CS Rating

  • 1,100 below peak (19,295)
  • -227 over 30 days · steady
  • Next: Pink band at 20,000 — 1,805 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

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.GGsiLvaFACEITLevel 7 · 897 ELOSTANDINGTop 42.3% of rankedPREMIER18,195 · Purple band30 DAYS0 ELOPEAK ELO897csdb.gg/stats

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Performance scores

Aim77
Positioning56
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLTWLWLWWWL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +2.0pp headshot accuracy · −36ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 492ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 524ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 541ms

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 (+1.3 against its own average).

Aim7.7
Utility6.7
Positioning5.6
Opening Duels3.3
Clutch5.8

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

CT openings. Opening success drops from 59% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 558ms 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

Aim7.7
Positioning5.6
Utility6.7
Mechanics7.6
Opening Duels5.2
Win Impact6.3

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time558ms+34ms
first ⅓ avg 524ms → last ⅓ avg 558ms
Headshot accuracy14.9%−0.0%
first ⅓ avg 15.0% → 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

0.22Best match rating · 9–2 · eldorado, 15 Sept →
43%Best headshot accuracy · 0–9 · inferno, 15 Sept →
406msFastest reaction time · 8–13 · anubis, 23 Oct →
13–1Biggest win · anubis, 15 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
9–8In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 56% over 9cacheWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB3518–1751%0.00
anubisB147–750%0.01
dust2B137–654%-0.00
mirageB115–645%0.01
ancientA95–456%-0.02
cacheD91–811%-0.02
nukeC83–538%-0.02
eldorado—11–0100%0.22

Across the last 100 tracked matches.

Faceit stats

Combat

725Matches
50%Win rate
1.00Avg K/D
77.4ADR
34%Headshot %

Clutches & streaks

49%1v1 clutch win
28%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno4060%1.1517.0
Dust23949%0.8714.3
Ancient3447%0.9816.6
Anubis2665%1.2915.8
Cache1145%1.0618.1
Mirage967%1.0013.0
Nuke450%0.8510.8
Vertigo40%0.7811.3

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.

14.9%Headshot accuracy
38.3%Accuracy (enemy spotted)
40.7%Spray accuracy
84.1%Counter-strafing
10.2°Preaim
558msReaction time
58.8%T opening success
42.6%CT opening success
0.68Enemies flashed / flash
5.5%Flash assists
9.49HE damage / grenade
13.02Flashes / 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 14.9372% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.009%30 Oct →
ancient15–15-0.0024%30 Oct →
inferno13–90.0217%30 Oct →
cache7–13-0.0619%30 Oct →
mirage13–100.0223%30 Oct →
cache13–160.0120%30 Oct →
mirage13–110.0413%29 Oct →
dust213–10-0.0614%29 Oct →
anubis13–10-0.0319%29 Oct →
nuke9–13-0.0513%29 Oct →
mirage13–100.0121%28 Oct →
inferno8–13-0.0412%28 Oct →
dust213–9-0.0327%28 Oct →
inferno13–70.0220%28 Oct →
inferno15–150.0014%27 Oct →
mirage10–130.0015%27 Oct →
anubis9–130.0116%27 Oct →
anubis13–10-0.0310%26 Oct →
ancient12–16-0.0015%26 Oct →
anubis6–13-0.042%26 Oct →
inferno13–80.024%25 Oct →
inferno13–70.0310%25 Oct →
dust213–60.0216%25 Oct →
dust213–160.0417%25 Oct →
cache11–130.068%24 Oct →
inferno13–7-0.0414%24 Oct →
inferno15–15-0.0215%24 Oct →
mirage10–130.0213%24 Oct →
mirage15–150.0210%24 Oct →
anubis13–80.0313%24 Oct →
mirage4–13-0.0411%23 Oct →
anubis8–13-0.0318%23 Oct →
cache5–13-0.0322%23 Oct →
inferno13–10-0.0122%23 Oct →
mirage13–70.0526%22 Oct →
mirage11–13-0.0118%22 Oct →
ancient13–2-0.0729%22 Oct →
mirage13–90.0423%22 Oct →
dust29–130.0220%21 Oct →
nuke6–13-0.0714%21 Oct →
anubis7–13-0.0414%21 Oct →
nuke13–100.039%21 Oct →
dust214–160.0814%20 Oct →
ancient13–70.0511%20 Oct →
nuke3–13-0.0421%20 Oct →
anubis11–130.0314%20 Oct →
inferno6–13-0.0213%19 Oct →
nuke13–80.0715%19 Oct →
anubis13–2-0.0218%19 Oct →
inferno8–13-0.069%19 Oct →
cache3–13-0.066%19 Oct →
cache11–13-0.0313%18 Oct →
inferno9–7-0.029%18 Oct →
inferno5–90.017%18 Oct →
inferno9–50.1619%17 Oct →
inferno7–13-0.0316%16 Oct →
dust213–80.0120%16 Oct →
dust26–13-0.0112%16 Oct →
nuke13–10-0.0818%14 Oct →
inferno13–110.0210%14 Oct →
anubis6–13-0.085%14 Oct →
dust26–13-0.012%14 Oct →
inferno2–13-0.0312%13 Oct →
dust26–13-0.0911%11 Oct →
inferno13–70.0310%11 Oct →
inferno16–140.0720%10 Oct →
ancient13–11-0.0312%10 Oct →
inferno8–80.125%10 Oct →
dust216–14-0.039%10 Oct →
inferno14–16-0.027%9 Oct →
ancient13–9-0.039%9 Oct →
anubis6–130.0317%18 Sept →
inferno13–80.1315%18 Sept →
inferno13–100.0118%18 Sept →
inferno7–13-0.043%18 Sept →
anubis13–110.0410%18 Sept →
cache11–13-0.0717%18 Sept →
cache11–130.0315%18 Sept →
inferno13–40.046%18 Sept →
ancient13–60.008%18 Sept →
inferno12–160.0111%17 Sept →
dust212–30.0419%16 Sept →
inferno9–13-0.048%16 Sept →
nuke6–130.0214%16 Sept →
eldorado9–20.2215%15 Sept →
inferno8–80.0040%15 Sept →
inferno0–9-0.3043%15 Sept →
anubis13–30.079%15 Sept →
inferno13–20.0727%15 Sept →
anubis13–10.1812%15 Sept →
ancient15–15-0.0218%14 Sept →
inferno13–60.0114%14 Sept →
inferno4–9-0.2020%14 Sept →
inferno10–130.0013%13 Sept →
nuke13–16-0.0214%13 Sept →
inferno13–110.0220%12 Sept →
dust213–110.0112%12 Sept →
ancient6–13-0.0613%12 Sept →
cache13–10-0.0216%12 Sept →
inferno13–50.0915%12 Sept →

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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