SilvaBoostFps⚡

SilvaBoostFps⚡ — CS2 Stats

BR76561198131828667[U:1:171562939]Steam profile ↗✓ No bans

1,029Tracked matches52%Win rate2021Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating23,662Top 25% of 210,367 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#35574 of 257425 tracked
FaceitLevel 6 · 1,393 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 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: 23,662 +424 16 Aug – 23 Oct · 29 days played
21,74924,803peak 24,80316 Aug23 Oct
Faceit ELO: 1,393 +0 4 Sept – 25 Sept · 3 observations
1,3931,393peak 1,3934 Sept25 Sept
24,999Peak Premier in tracked matches
1,393Highest Faceit ELO seen on CSDB
43Days played since 2026-08-13

Faceit ELO

  • At peak — 1,393
  • Next: Level 8 at 1,531 — 138 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-04
  • Level 6 first seen 2026-09-04

Premier CS Rating

  • 1,141 below peak (24,803)
  • -407 over 30 days · declining
  • Next: Red band at 25,000 — 1,338 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-04
  • Purple band first seen 2026-09-04

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.GGSilvaBoostFps⚡FACEITLevel 6 · 1,393 ELOSTANDINGTop 54.0% of rankedPREMIER23,662 · Pink bandPEAK ELO1,393csdb.gg/stats

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Performance scores

Aim50
Positioning50
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateWWWLLWWLLW

Last 10 vs previous 10: +20pp win rate · −0.04 avg rating · −4.1pp headshot accuracy · +2ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 594ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 608ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 607ms

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).

Aim5.0
Utility5.5
Positioning5.0
Opening Duels1.7
Clutch4.6

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

Twistzz

Plays most like Twistzz 76% 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. 597ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim5.0
Positioning5.0
Utility5.5
Mechanics3.7
Opening Duels3.3
Win Impact5.6

Composite 4.9/10 (Developing), 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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time595ms−17ms
first ⅓ avg 612ms → last ⅓ avg 595ms
Headshot accuracy18.9%−5.0%
first ⅓ avg 23.9% → last ⅓ avg 18.9%

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

0.13Best match rating · 13–6 · anubis, 30 Sept →
41%Best headshot accuracy · 3–13 · dust2, 25 Aug →
406msFastest reaction time · 10–13 · inferno, 8 Oct →
13–1Biggest win · dust2, 5 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
7–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 70% over 10mirageWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C4215–2736%-0.02
infernoB136–746%-0.01
mirageD124–833%-0.02
cacheS107–370%-0.02
nukeA95–456%-0.01
ancientC83–538%0.00
anubisC52–340%0.00
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

335Matches
52%Win rate
0.91Avg K/D
70.9ADR
41%Headshot %

Clutches & streaks

43%1v1 clutch win
22%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust26964%0.9513.8
Mirage5840%0.8111.6
Ancient5068%1.0214.3
Anubis3358%1.0915.2
Inferno3152%0.9916.1
Nuke1747%0.7411.8
Vertigo838%0.8412.9
Cache875%1.0913.6

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.

18.2%Headshot accuracy
32.4%Accuracy (enemy spotted)
37.9%Spray accuracy
66.5%Counter-strafing
11.6°Preaim
597msReaction time
49.1%T opening success
37.7%CT opening success
0.62Enemies flashed / flash
5.1%Flash assists
7.05HE damage / grenade
10.38Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.6527% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis6–2-0.0413%24 Oct →
inferno13–80.0824%23 Oct →
mirage13–80.0016%21 Oct →
anubis9–13-0.045%18 Oct →
mirage4–13-0.1319%17 Oct →
cache16–14-0.1020%17 Oct →
cache13–9-0.048%12 Oct →
dust27–130.0019%12 Oct →
dust25–13-0.0714%12 Oct →
dust213–9-0.0422%12 Oct →
mirage5–13-0.0025%11 Oct →
mirage9–13-0.0624%11 Oct →
dust216–130.0123%10 Oct →
ancient13–90.0117%10 Oct →
cache13–11-0.0118%10 Oct →
nuke13–160.0221%10 Oct →
dust26–130.0112%9 Oct →
mirage6–130.0015%9 Oct →
inferno10–13-0.0026%8 Oct →
dust213–100.0821%8 Oct →
dust28–130.0419%7 Oct →
dust29–13-0.0512%5 Oct →
dust212–12-0.0415%5 Oct →
cache13–9-0.0213%5 Oct →
mirage13–70.0018%5 Oct →
dust29–13-0.0213%4 Oct →
dust25–13-0.0429%4 Oct →
inferno13–110.0123%4 Oct →
nuke13–10-0.0115%4 Oct →
cache13–10-0.0621%3 Oct →
mirage6–13-0.0237%3 Oct →
dust213–4-0.0317%1 Oct →
nuke13–70.0031%30 Sept →
anubis13–60.1324%30 Sept →
mirage9–130.0224%30 Sept →
mirage12–12-0.0316%28 Sept →
anubis1–13-0.0421%28 Sept →
dust28–13-0.0416%27 Sept →
dust213–8-0.0723%27 Sept →
dust213–4-0.0438%27 Sept →
inferno13–7-0.0818%27 Sept →
cache13–11-0.0619%27 Sept →
dust26–13-0.0320%27 Sept →
dust22–120.0433%26 Sept →
nuke13–110.0528%26 Sept →
dust27–13-0.0711%26 Sept →
dust213–7-0.0120%26 Sept →
mirage13–70.0429%26 Sept →
nuke13–11-0.0014%25 Sept →
dust28–13-0.0510%25 Sept →
dust211–13-0.0219%24 Sept →
vertigo13–70.0530%23 Sept →
nuke13–8-0.0523%20 Sept →
inferno5–13-0.0228%15 Sept →
inferno8–13-0.0323%13 Sept →
cache10–13-0.0519%13 Sept →
ancient7–13-0.0417%13 Sept →
dust28–13-0.0320%12 Sept →
dust29–13-0.0410%10 Sept →
inferno13–50.0028%10 Sept →
mirage13–10-0.0123%7 Sept →
dust213–6-0.0333%7 Sept →
dust213–40.0222%7 Sept →
ancient15–150.0428%7 Sept →
inferno11–13-0.0333%6 Sept →
nuke10–130.0322%6 Sept →
inferno15–15-0.0317%6 Sept →
inferno13–9-0.0024%6 Sept →
dust27–13-0.0132%5 Sept →
dust213–10.0633%5 Sept →
dust213–60.0138%3 Sept →
dust28–13-0.0126%1 Sept →
ancient4–13-0.0224%1 Sept →
ancient13–30.1032%1 Sept →
dust26–13-0.0433%1 Sept →
inferno13–50.0023%1 Sept →
ancient4–13-0.0724%1 Sept →
cache13–20.0820%31 Aug →
dust22–13-0.0733%29 Aug →
dust213–7-0.0616%29 Aug →
dust213–6-0.0114%29 Aug →
dust210–13-0.0521%29 Aug →
dust213–11-0.0425%28 Aug →
dust212–16-0.0219%28 Aug →
nuke8–13-0.0615%28 Aug →
cache10–13-0.0032%28 Aug →
dust213–60.0319%27 Aug →
dust212–12-0.0422%26 Aug →
cache5–130.0317%26 Aug →
dust23–130.0241%25 Aug →
ancient8–13-0.0025%22 Aug →
mirage1–13-0.0827%22 Aug →
nuke2–13-0.0736%19 Aug →
dust20–13-0.0722%19 Aug →
ancient13–9-0.0114%17 Aug →
dust212–120.0217%17 Aug →
inferno4–13-0.0423%16 Aug →
inferno11–13-0.0114%16 Aug →
anubis8–130.0114%16 Aug →
dust29–130.0714%13 Aug →

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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