Silver2k

Silver2k — CS2 Stats

CA76561198301800032[U:1:341534304]Steam profile ↗✓ No bans

7,173Tracked matches73%Win rate2020Tracked since
13,421Hours in CS69Hrs last 2 wks
CSDB Rating5.0 DevelopingOpening Duellist
Premier CS Rating3,963Grey band · top ~83.2% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 3,963 → 3,963
+17Tracked matches · now 7,173
−1.0ppWin rate · 74.1% → 73.1%

Rating over time

Premier CS Rating: 3,963 +227 3 Sept – 6 Nov · 3 observations
3,7363,963peak 3,9633 Sept6 Nov
3,963Peak Premier on CSDB
29Days played since 2026-09-03

Premier CS Rating

  • At peak — 3,963
  • Next: Light Blue band at 5,000 — 1,037 to go

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches60——
Win rate62%——
K/D1.04——
Headshot %35%——

Measured 6 Nov 2026 → 14 Nov 2026; no observation near 14 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate32.0%43.8%44.8%12.8% short
Shot accuracy11.0%12.0%12.4%1.4% short
Kill/death ratio1.161.021.03above
Match win rate73.2%44.7%45.2%above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSilver2kFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER3,963 · Grey bandcsdb.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

Aim57
Positioning65
Utility12

0–100 skill scores via Leetify.

Recent form

HOT74–17–9Last 10074%Win rateLWWWWWWWWT

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −0.4pp headshot accuracy · +35ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 593ms

Last 20

  • 15–3–2 · 75% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 575ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim5.7
Utility1.2
Positioning6.5
Opening Duels6.8

Strong CT-side openerLimited utility dependence

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

s1mple

Plays most like s1mple 61% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 575ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.7
Positioning6.5
Utility1.2
Mechanics3.9
Opening Duels8.3
Win Impact10.0

Composite 5.0/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time563ms+71ms
first ⅓ avg 491ms → last ⅓ avg 563ms
Headshot accuracy16.5%+1.9%
first ⅓ avg 14.7% → last ⅓ avg 16.5%

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

0.14Best match rating · 13–4 · dust2, 29 Oct →
50%Best headshot accuracy · 6–1 · dust2, 5 Nov →
391msFastest reaction time · 11–13 · dust2, 14 Oct →
13–1Biggest win · anubis, 11 Nov →

Across the last 100 tracked matches.

Highlights

12Longest win streak
8–5In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 3 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
dust2S9670–2673%-0.00
anubis—22–0100%-0.02
cache—22–0100%-0.01

Across the last 100 tracked matches.

Lifetime stats

326,693Lifetime kills
1.16K/D · Top 25% of Level 5 players
21,885Matches
73.2%Match win rate · Top 1% of Level 5 players
32.0%Headshot %
11.0%Shot accuracy
46,182MVPs
6,754Hours (in match)
3,859Bombs planted
3,746Bombs defused

Most-used weapons

SG 55393,332
AWP78,275
UMP-4522,627
SCAR-2021,803
Glock-1811,925
AK-4710,002
MP97,918
P907,189

Lifetime map wins

202,722dust2
1,771inferno
813vertigo
552train
490nuke
260office
146lake
84ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.0%Headshot accuracy
31.2%Accuracy (enemy spotted)
39.6%Spray accuracy
67.7%Counter-strafing
9.5°Preaim
575msReaction time
56.6%T opening success
69.7%CT opening success
0.43Enemies flashed / flash
5.6%Flash assists
2.36HE damage / grenade
1.21Flashes / 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. 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 0.4315 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0115%13 Nov →
dust213–90.0321%13 Nov →
dust213–60.0025%13 Nov →
dust213–110.0116%11 Nov →
anubis13–1-0.0219%11 Nov →
dust213–50.056%11 Nov →
anubis13–4-0.029%11 Nov →
dust213–100.014%8 Nov →
dust213–7-0.0127%8 Nov →
dust212–12-0.0117%8 Nov →
dust27–2-0.065%7 Nov →
dust212–120.0813%6 Nov →
dust213–11-0.039%6 Nov →
dust213–10.0517%6 Nov →
dust213–10.0217%6 Nov →
dust213–2-0.048%5 Nov →
dust26–1-0.0050%5 Nov →
dust213–1-0.026%5 Nov →
dust27–130.0313%5 Nov →
dust27–13-0.0927%5 Nov →
dust212–12-0.056%4 Nov →
dust213–40.0329%4 Nov →
dust213–4-0.0027%4 Nov →
dust211–13-0.046%3 Nov →
dust213–40.0523%3 Nov →
dust27–13-0.0010%2 Nov →
dust22–13-0.0310%2 Nov →
dust212–12-0.0226%1 Nov →
dust213–11-0.0425%1 Nov →
dust211–13-0.0214%31 Oct →
dust213–7-0.0417%31 Oct →
dust213–10.0016%31 Oct →
dust213–1-0.0314%31 Oct →
dust210–13-0.0424%30 Oct →
dust212–120.0415%30 Oct →
dust213–4-0.0017%30 Oct →
dust213–8-0.047%30 Oct →
dust213–80.0112%30 Oct →
dust213–50.1119%30 Oct →
dust213–3-0.025%29 Oct →
dust213–8-0.0119%29 Oct →
dust213–10-0.0419%29 Oct →
dust213–40.1420%29 Oct →
dust213–10-0.058%28 Oct →
dust213–11-0.057%28 Oct →
dust213–20.0214%28 Oct →
dust213–11-0.0611%28 Oct →
dust212–12-0.0514%27 Oct →
dust213–5-0.0019%27 Oct →
dust26–30.019%27 Oct →
dust213–6-0.0114%27 Oct →
dust22–5-0.080%26 Oct →
dust213–40.0527%25 Oct →
dust213–9-0.0117%25 Oct →
dust213–10.0210%24 Oct →
dust213–30.0421%23 Oct →
dust213–100.0221%23 Oct →
dust213–8-0.0018%23 Oct →
dust213–70.0114%22 Oct →
dust213–70.0415%22 Oct →
dust24–13-0.0119%22 Oct →
dust213–6-0.0118%22 Oct →
dust213–110.0417%21 Oct →
dust27–13-0.0523%21 Oct →
cache13–30.0110%21 Oct →
cache13–11-0.035%21 Oct →
dust213–70.0211%17 Oct →
dust213–40.0415%17 Oct →
dust213–8-0.0213%17 Oct →
dust22–00.000%17 Oct →
dust29–130.0413%17 Oct →
dust213–10-0.0216%16 Oct →
dust213–10.046%16 Oct →
dust213–3-0.0111%16 Oct →
dust213–4-0.0810%16 Oct →
dust213–50.0722%16 Oct →
dust211–130.0519%14 Oct →
dust213–6-0.0823%14 Oct →
dust213–70.0211%13 Oct →
dust210–13-0.1042%13 Oct →
dust213–3-0.0619%13 Oct →
dust213–1-0.018%13 Oct →
dust213–40.0311%13 Oct →
dust211–130.0116%11 Oct →
dust213–6-0.0422%11 Oct →
dust211–13-0.079%11 Oct →
dust213–9-0.0419%10 Oct →
dust213–20.1318%10 Oct →
dust213–5-0.0317%10 Oct →
dust212–120.008%10 Oct →
dust212–12-0.083%10 Oct →
dust213–9-0.0222%9 Oct →
dust213–8-0.0716%9 Oct →
dust212–120.0212%9 Oct →
dust213–90.0411%9 Oct →
dust22–8-0.0113%9 Oct →
dust213–3-0.0410%9 Oct →
dust213–30.0321%8 Oct →
dust213–7-0.0213%8 Oct →
dust213–8-0.0318%8 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
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.