silentstorm

silentstorm — CS2 Stats

76561198100949187[U:1:140683459]Steam profile ↗✓ No bans

2,258Tracked matches41%Win rate2020Tracked since
CSDB Rating4.4 DevelopingSupport
Premier CS Rating10,285Blue band · top ~53.4% of ranked players (population est.)
FaceitLevel 5 · 1,094 ELOTop 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (4 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: 10,285 +13 23 Aug – 11 Oct · 21 days played
9,40912,616peak 12,61623 Aug11 Oct
Faceit ELO: 1,094 +0 1 Sept – 10 Sept · 3 observations
1,0941,094peak 1,0941 Sept10 Sept
13,063Peak Premier in tracked matches
1,094Highest Faceit ELO seen on CSDB
21Days played since 2026-08-23

Faceit ELO

  • At peak — 1,094
  • Next: Level 6 at 1,201 — 107 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-01
  • Level 4 first seen 2026-09-01

Premier CS Rating

  • 2,331 below peak (12,616)
  • -353 over 30 days · steady
  • Next: Purple band at 15,000 — 4,715 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band 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.

Share this profile

CSDB.GGsilentstormFACEITLevel 5 · 1,094 ELOSTANDINGTop 67.6% of rankedPREMIER10,285 · Blue bandPEAK ELO1,094csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim44
Positioning55
Utility61

0–100 skill scores via Leetify.

Recent form

COLD50–47–3Last 10050%Win rateLLWWTLLLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −0.1pp headshot accuracy · −9ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 581ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 621ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 625ms

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).

Aim4.4
Utility6.1
Positioning5.5
Opening Duels3.2
Clutch4.4

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

donk

Plays most like donk 66% 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. 618ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.4
Positioning5.5
Utility6.1
Mechanics4.4
Opening Duels4.1
Win Impact2.1

Composite 4.4/10 (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 rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time624ms+31ms
first ⅓ avg 593ms → last ⅓ avg 624ms
Headshot accuracy15.5%−0.2%
first ⅓ avg 15.7% → last ⅓ avg 15.5%

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

0.16Best match rating · 13–4 · mirage, 7 Oct →
40%Best headshot accuracy · 0–8 · cache, 31 Aug →
422msFastest reaction time · 6–13 · mirage, 11 Oct →
13–2Biggest win · dust2, 3 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
9–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 15anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2413–1154%0.01
mirageB1910–953%0.03
cacheC166–1038%0.02
infernoS1510–567%0.03
nukeB84–450%0.00
ancientC73–443%-0.00
anubisD61–517%-0.01
vertigo—43–175%0.01
train—10–10%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

295Matches
49%Win rate
0.98Avg K/D
74.7ADR
36%Headshot %

Clutches & streaks

42%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3551%1.0014.6
Dust23259%0.9815.4
Inferno1765%1.0315.7
Ancient1338%0.9715.5
Cache1242%0.8613.4
Anubis1242%0.9315.6
Nuke714%0.7915.3
Overpass520%0.8815.0

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.

15.3%Headshot accuracy
37.1%Accuracy (enemy spotted)
38.1%Spray accuracy
69.9%Counter-strafing
14.8°Preaim
618msReaction time
53.2%T opening success
39.7%CT opening success
0.70Enemies flashed / flash
11.4%Flash assists
16.07HE damage / grenade
7.93Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.782° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.049%11 Oct →
mirage1–12-0.0128%11 Oct →
anubis13–110.0815%11 Oct →
vertigo13–4-0.015%11 Oct →
dust212–120.0221%11 Oct →
mirage6–130.0616%11 Oct →
inferno8–13-0.0523%10 Oct →
ancient10–13-0.0116%10 Oct →
dust23–2-0.0420%10 Oct →
dust27–13-0.064%10 Oct →
anubis3–13-0.0416%10 Oct →
mirage7–130.1312%10 Oct →
cache14–16-0.0510%9 Oct →
nuke2–13-0.0520%9 Oct →
inferno5–130.0323%9 Oct →
train8–13-0.0513%9 Oct →
dust26–13-0.0011%9 Oct →
nuke13–110.0315%9 Oct →
dust213–110.0715%9 Oct →
inferno13–100.0824%7 Oct →
cache8–13-0.016%7 Oct →
mirage13–40.1618%7 Oct →
nuke9–13-0.0418%7 Oct →
mirage16–140.0613%6 Oct →
inferno13–100.0324%6 Oct →
mirage13–60.0129%4 Oct →
cache6–13-0.074%4 Oct →
nuke13–50.0516%4 Oct →
cache13–70.0419%4 Oct →
mirage10–130.009%4 Oct →
cache13–60.0616%4 Oct →
cache13–50.0311%4 Oct →
ancient13–5-0.0314%3 Oct →
anubis9–130.0617%3 Oct →
mirage11–13-0.0424%3 Oct →
mirage16–140.0018%3 Oct →
dust213–20.0527%3 Oct →
inferno13–60.0423%3 Oct →
cache10–130.0325%3 Oct →
cache13–60.0316%3 Oct →
inferno13–10-0.0116%25 Sept →
anubis11–13-0.0512%25 Sept →
mirage9–130.068%25 Sept →
dust213–70.0210%25 Sept →
vertigo6–130.0119%24 Sept →
nuke13–100.0312%24 Sept →
vertigo13–90.0212%24 Sept →
cache13–50.1218%24 Sept →
dust27–13-0.0716%24 Sept →
dust213–11-0.0115%20 Sept →
cache12–12-0.0218%20 Sept →
mirage6–13-0.0418%20 Sept →
vertigo13–50.0316%20 Sept →
mirage13–90.0621%20 Sept →
anubis2–13-0.0613%20 Sept →
dust213–8-0.0524%20 Sept →
dust28–130.0617%19 Sept →
dust210–13-0.0219%14 Sept →
mirage13–9-0.0514%14 Sept →
ancient7–130.0514%13 Sept →
mirage13–8-0.0113%13 Sept →
dust27–130.008%13 Sept →
mirage13–5-0.0421%13 Sept →
nuke5–13-0.0516%13 Sept →
inferno3–13-0.027%13 Sept →
cache7–130.0317%11 Sept →
dust213–30.0812%11 Sept →
ancient7–130.0212%6 Sept →
inferno13–9-0.0213%6 Sept →
mirage3–130.0312%6 Sept →
dust213–90.0616%6 Sept →
dust210–130.018%6 Sept →
cache13–80.0818%6 Sept →
inferno13–40.0821%6 Sept →
dust213–80.0013%6 Sept →
ancient16–14-0.0410%5 Sept →
inferno13–5-0.048%5 Sept →
anubis5–13-0.057%5 Sept →
dust212–12-0.0015%5 Sept →
dust213–10-0.0012%31 Aug →
inferno13–40.058%31 Aug →
cache0–8-0.0640%31 Aug →
dust214–160.0618%31 Aug →
inferno13–60.1415%31 Aug →
inferno13–30.1525%31 Aug →
mirage13–20.1115%31 Aug →
nuke16–120.0715%31 Aug →
dust213–80.0616%31 Aug →
ancient13–110.0213%30 Aug →
cache7–13-0.0310%30 Aug →
nuke9–13-0.0113%30 Aug →
cache7–130.0316%30 Aug →
dust213–40.0125%30 Aug →
cache14–160.0513%30 Aug →
dust213–70.0519%29 Aug →
mirage7–13-0.0118%27 Aug →
mirage13–30.0510%23 Aug →
ancient3–13-0.0425%23 Aug →
inferno14–160.0117%23 Aug →
dust26–130.0022%23 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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