Ronin D. Silver

Ronin D. Silver — CS2 Stats

DE76561199468717669[U:1:1508451941]Steam profile ↗✓ No bans

1,193Tracked matches31%Win rate2025Tracked since
1,989Hours in CS45Hrs last 2 wks
CSDB Rating1.6 LearningClutch Specialist
Premier CS Rating5,746Light Blue band · top ~75.2% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (15 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: 5,746 +747 7 Oct – 17 Oct · 5 days played
4,9995,746peak 5,7467 Oct17 Oct
5,862Peak Premier in tracked matches
22Days played since 2026-09-28

Premier CS Rating

  • At peak — 5,746
  • Next: Blue band at 10,000 — 4,254 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate39.5%39.9%42.0%2.5% short
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.680.920.980.29 short
Match win rate41.9%42.3%43.8%1.9% short

This profile sits below the typical Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRonin D. SilverPREMIER5,746 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim18
Positioning26
Utility36

0–100 skill scores via Leetify.

Recent form

COLD39–51–10Last 10039%Win rateLTLWLTLLLW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +1.1pp headshot accuracy · −113ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 561ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

Last 20

  • 5–12–3 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 652ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+6 against its own average).

Aim1.8
Utility3.6
Positioning2.6
Opening Duels0.0
Clutch10.0

Reliable in 1v1s

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

ZywOo

Plays most like ZywOo 66% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 638ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim1.8
Positioning2.6
Utility3.6
Mechanics1.3
Opening Duels0.0
Win Impact0.0

Composite 1.6/10 (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+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time644ms−16ms
first ⅓ avg 660ms → last ⅓ avg 644ms
Headshot accuracy17.4%+0.6%
first ⅓ avg 16.7% → last ⅓ avg 17.4%

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

0.09Best match rating · 11–13 · dust2, 11 Oct →
40%Best headshot accuracy · 3–13 · office, 29 Sept →
453msFastest reaction time · 12–12 · office, 28 Sept →
13–1Biggest win · inferno, 7 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
3–5In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 50% over 18ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB189–950%-0.03
officeC176–1135%-0.05
infernoC177–1041%-0.02
dust2B157–847%-0.04
ancientD91–811%-0.03
mirageD81–713%-0.05
anubisB84–450%-0.04
cache—43–175%-0.04
train—21–150%-0.03
vertigo—10–10%-0.02
italy—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,335Lifetime kills
0.68K/D
2,766Matches
41.9%Match win rate
39.5%Headshot %
0.0%Shot accuracy
4,883MVPs
880Hours (in match)
2,184Bombs planted
611Bombs defused

Most-used weapons

Lifetime map wins

9,038nuke
2,320inferno
1,773dust2
1,004vertigo
628office
332train
62italy
14dust

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

Faceit stats

Combat

1Matches
0%Win rate
1.15Avg K/D
72.8ADR
53%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

17.1%Headshot accuracy
27.9%Accuracy (enemy spotted)
28.1%Spray accuracy
55.9%Counter-strafing
14.1°Preaim
638msReaction time
28.7%T opening success
16.1%CT opening success
0.38Enemies flashed / flash
2.8%Flash assists
4.85HE damage / grenade
9.80Flashes / 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 14.1266° — above the 12° 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 0.3767 — below the 0.5 mark we flag

    Grenade Lineups →
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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0512%31 Oct →
nuke12–120.0120%31 Oct →
vertigo7–13-0.0228%30 Oct →
dust213–10-0.0314%30 Oct →
ancient10–13-0.049%30 Oct →
ancient12–12-0.0213%30 Oct →
mirage4–13-0.0635%30 Oct →
dust211–130.0113%28 Oct →
office2–13-0.0323%28 Oct →
office13–50.050%28 Oct →
office12–12-0.1117%28 Oct →
office13–5-0.0221%28 Oct →
anubis6–13-0.0314%25 Oct →
ancient4–13-0.0715%25 Oct →
ancient9–13-0.0919%24 Oct →
dust210–13-0.079%23 Oct →
inferno5–4-0.060%23 Oct →
office13–7-0.0214%23 Oct →
anubis4–130.0134%23 Oct →
office7–13-0.0411%23 Oct →
cache13–7-0.0219%23 Oct →
mirage12–12-0.0712%21 Oct →
dust25–13-0.0718%21 Oct →
nuke3–13-0.0713%21 Oct →
nuke5–130.0221%21 Oct →
italy4–13-0.0617%21 Oct →
dust213–100.0117%21 Oct →
inferno4–130.0336%20 Oct →
nuke13–6-0.0633%20 Oct →
inferno5–13-0.018%20 Oct →
dust23–13-0.0522%20 Oct →
cache13–10-0.0318%20 Oct →
nuke6–13-0.0319%17 Oct →
cache13–40.0016%17 Oct →
nuke13–10-0.0827%16 Oct →
dust24–13-0.0911%16 Oct →
anubis13–40.007%16 Oct →
dust213–5-0.0611%16 Oct →
cache6–13-0.1122%16 Oct →
ancient13–8-0.0713%16 Oct →
nuke13–6-0.035%16 Oct →
anubis1–13-0.1311%14 Oct →
inferno11–13-0.1025%14 Oct →
office13–4-0.055%14 Oct →
nuke13–9-0.0523%14 Oct →
inferno13–9-0.0416%14 Oct →
anubis0–13-0.050%14 Oct →
office5–13-0.088%14 Oct →
ancient7–13-0.0412%13 Oct →
inferno13–60.0413%13 Oct →
train6–13-0.027%13 Oct →
mirage6–13-0.0219%11 Oct →
mirage2–13-0.0522%11 Oct →
office4–13-0.0812%11 Oct →
ancient10–130.0110%11 Oct →
nuke13–50.0417%11 Oct →
inferno13–30.038%11 Oct →
dust213–11-0.0612%11 Oct →
dust211–130.097%11 Oct →
mirage7–130.0014%11 Oct →
mirage13–9-0.0417%11 Oct →
nuke11–130.098%11 Oct →
ancient1–130.0315%11 Oct →
ancient8–130.0311%11 Oct →
inferno12–120.0216%11 Oct →
anubis13–7-0.120%11 Oct →
nuke13–10-0.046%10 Oct →
inferno6–13-0.047%10 Oct →
anubis13–60.0517%10 Oct →
train13–8-0.0517%7 Oct →
office5–13-0.0616%7 Oct →
inferno13–80.0025%7 Oct →
inferno13–10.0324%7 Oct →
nuke8–8-0.0317%5 Oct →
inferno3–13-0.1110%5 Oct →
mirage3–13-0.1613%4 Oct →
office12–12-0.0517%4 Oct →
inferno6–13-0.0014%3 Oct →
nuke1–13-0.0819%1 Oct →
office13–6-0.109%30 Sept →
dust26–13-0.0920%30 Sept →
nuke13–1-0.0517%30 Sept →
dust212–120.008%30 Sept →
office9–13-0.0625%30 Sept →
anubis13–2-0.0225%30 Sept →
inferno13–10-0.0210%30 Sept →
office3–13-0.1040%29 Sept →
nuke13–4-0.0225%29 Sept →
office13–5-0.060%29 Sept →
inferno8–130.0118%29 Sept →
dust213–11-0.048%29 Sept →
nuke13–6-0.0416%29 Sept →
inferno5–13-0.0311%28 Sept →
office12–12-0.0811%28 Sept →
office10–130.0317%28 Sept →
inferno12–12-0.0615%28 Sept →
dust213–3-0.056%28 Sept →
nuke1–13-0.0120%28 Sept →
dust213–6-0.0717%28 Sept →
mirage7–13-0.0240%28 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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