SergeantSilver

SergeantSilver — CS2 Stats

DE76561198285241723[U:1:324975995]Steam profile ↗✓ No bans

896Tracked matches57%Win rate2020Tracked since
1,071Hours in CS
CSDB Rating4.4 DevelopingPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 896 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,795 +5,726 10 Mar – 24 Jun · 34 days played
8,06914,999peak 14,99910 Mar24 Jun
14,999Peak Premier in tracked matches
38Days played since 2026-03-10

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 Level 2 among CSDB-tracked players (n=5,922), 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 2 medianLevel 3 medianvs Level 3
Headshot rate39.9%41.3%41.8%1.9% short
Shot accuracy12.9%12.7%12.2%above
Kill/death ratio0.880.950.980.09 short
Match win rate41.6%42.6%43.3%1.7% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSergeantSilverFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning52
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateLWWLLWLWLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +2.0pp headshot accuracy · −2ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 547ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 574ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • 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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim4.8
Utility3.9
Positioning5.2
Opening Duels3.0

Limited 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

jL

Plays most like jL 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 48% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim4.8
Positioning5.2
Utility3.9
Mechanics2.7
Opening Duels2.6
Win Impact7.2

Composite 4.4/10 (Developing), 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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time585ms−31ms
first ⅓ avg 616ms → last ⅓ avg 585ms
Headshot accuracy19.5%−0.2%
first ⅓ avg 19.7% → last ⅓ avg 19.5%

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 · 13–3 · anubis, 16 Apr →
38%Best headshot accuracy · 3–9 · inferno, 15 Mar →
383msFastest reaction time · 6–13 · anubis, 11 Mar →
13–3Biggest win · overpass, 18 Apr →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

overpassBest map · 71% over 7anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2615–1158%-0.03
infernoC166–1038%-0.02
mirageS1510–567%-0.03
nukeA127–558%-0.02
ancientA106–460%-0.03
anubisD93–633%-0.01
overpassS75–271%-0.03
cacheA53–260%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,408Lifetime kills
0.88K/D
3,105Matches
41.6%Match win rate
39.9%Headshot %
12.9%Shot accuracy · Top 50% of Level 2 players
5,448MVPs
1,071Hours (in match)
3,629Bombs planted
553Bombs defused

Most-used weapons

AK-4712,783
AWP5,696
SSG 082,335
MP71,693
P2501,190

Lifetime map wins

4,792dust2
3,606inferno
1,490nuke
839vertigo
823train
585office
469cbble
338lake

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

Faceit stats

Combat

40Matches
50%Win rate
1.02Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLW

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.

19.7%Headshot accuracy
29.4%Accuracy (enemy spotted)
31.6%Spray accuracy
62.3%Counter-strafing
9.2°Preaim
583msReaction time
32.8%T opening success
47.9%CT opening success
0.41Enemies flashed / flash
2.2%Flash assists
10.86HE damage / grenade
3.47Flashes / 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 0.4074 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.7655% — below the 40% mark we flag

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–13-0.044%10 Sept →
cache13–8-0.0216%8 Sept →
cache13–110.0327%8 Sept →
nuke7–13-0.0327%8 Sept →
nuke7–13-0.0725%7 Sept →
mirage13–7-0.0822%7 Sept →
ancient6–13-0.0523%7 Sept →
ancient13–7-0.0121%7 Sept →
inferno8–13-0.0815%24 Jun →
mirage13–100.0025%24 Jun →
dust29–13-0.0618%11 Jun →
inferno7–13-0.0221%9 Jun →
mirage11–130.0214%9 Jun →
mirage4–13-0.1020%9 Jun →
mirage13–11-0.0516%8 Jun →
inferno7–130.0325%8 Jun →
mirage13–6-0.038%8 Jun →
dust213–8-0.0322%5 Jun →
nuke13–10-0.0425%4 Jun →
nuke13–10-0.0216%4 Jun →
inferno13–6-0.0217%4 Jun →
inferno13–60.0221%3 Jun →
inferno8–13-0.0117%20 May →
anubis13–10-0.0430%20 May →
inferno10–13-0.0029%18 May →
dust213–70.0121%18 May →
ancient4–13-0.0513%18 May →
dust213–110.0121%18 May →
ancient13–8-0.0211%18 May →
mirage13–6-0.0411%18 May →
inferno13–70.0514%18 May →
nuke8–13-0.0229%18 May →
ancient13–110.0015%11 May →
cache11–13-0.0912%6 May →
cache13–8-0.0419%6 May →
cache8–13-0.0616%29 Apr →
dust211–13-0.0624%29 Apr →
nuke13–80.017%26 Apr →
dust21–130.0315%22 Apr →
anubis8–13-0.0311%22 Apr →
anubis8–130.0221%21 Apr →
mirage13–11-0.0127%21 Apr →
nuke13–70.0321%21 Apr →
dust24–13-0.1024%21 Apr →
inferno16–13-0.0318%20 Apr →
overpass13–80.0217%20 Apr →
inferno11–13-0.045%20 Apr →
ancient5–13-0.096%19 Apr →
overpass13–60.0223%19 Apr →
nuke13–60.0124%19 Apr →
nuke3–13-0.086%19 Apr →
mirage16–130.0720%19 Apr →
dust213–50.0420%19 Apr →
ancient6–130.0222%18 Apr →
overpass13–3-0.0119%18 Apr →
dust211–130.0325%18 Apr →
dust213–3-0.0321%18 Apr →
nuke8–130.0120%16 Apr →
inferno13–70.0423%16 Apr →
nuke13–30.0427%16 Apr →
anubis13–30.1430%16 Apr →
dust215–15-0.0219%15 Apr →
mirage2–13-0.1011%14 Apr →
ancient16–14-0.0113%8 Apr →
dust213–5-0.0415%7 Apr →
ancient13–7-0.0322%7 Apr →
dust211–13-0.0522%2 Apr →
anubis9–130.0124%26 Mar →
dust28–13-0.0513%25 Mar →
inferno13–8-0.0228%25 Mar →
mirage9–13-0.078%24 Mar →
dust213–16-0.0219%24 Mar →
anubis6–13-0.097%20 Mar →
mirage12–16-0.0510%17 Mar →
inferno13–16-0.0520%16 Mar →
mirage13–60.039%16 Mar →
mirage13–5-0.0418%16 Mar →
dust213–110.0233%16 Mar →
overpass13–7-0.0122%15 Mar →
dust213–7-0.0434%15 Mar →
inferno3–9-0.0538%15 Mar →
overpass1–9-0.1527%15 Mar →
overpass2–9-0.0132%15 Mar →
anubis9–13-0.0613%13 Mar →
dust213–7-0.0716%13 Mar →
dust213–50.0113%13 Mar →
mirage13–10-0.0711%13 Mar →
ancient13–10-0.018%13 Mar →
anubis13–80.0915%12 Mar →
dust213–9-0.0222%12 Mar →
inferno10–13-0.0628%12 Mar →
dust213–7-0.048%12 Mar →
dust213–9-0.0612%12 Mar →
dust216–14-0.0819%11 Mar →
anubis6–13-0.0917%11 Mar →
overpass13–10-0.0428%11 Mar →
nuke13–10-0.0529%11 Mar →
dust213–6-0.0114%11 Mar →
inferno8–13-0.0733%10 Mar →
dust28–13-0.0623%10 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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