gilbert

gilbert — CS2 Stats

VC76561198168298894[U:1:208033166]Steam profile ↗✓ No bans

2,723Tracked matches52%Win rate2023Tracked since
2,197Hours in CS
CSDB Rating5.8 SolidSupport
Premier CS Rating19,876Top 50% of 208,731 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#86919 of 255842 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 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: 19,876 -788 30 Aug – 17 Oct · 11 days played
19,87621,899peak 21,89930 Aug17 Oct
Faceit ELO: 1,202 +0 30 Aug – 24 Sept · 8 observations
1,2021,202peak 1,20230 Aug24 Sept
21,899Peak Premier in tracked matches
1,202Highest Faceit ELO seen on CSDB
32Days played since 2026-08-30

Faceit ELO

  • At peak — 1,202
  • 0 over 30 days · steady
  • Next: Level 7 at 1,351 — 149 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-30
  • Level 5 first seen 2026-08-30

Premier CS Rating

  • 2,023 below peak (21,899)
  • -2,023 over 30 days · declining
  • Next: Pink band at 20,000 — 124 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches86——
Win rate45%——
K/D0.90——
Headshot %54%——

Measured 20 Sep 2026 → 21 Oct 2026; no observation near 60 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.2%44.3%46.9%5.7% short
Shot accuracy2.0%11.9%13.0%11.0% short
Kill/death ratio0.951.031.080.13 short
Match win rate43.8%45.2%46.7%2.8% short

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

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

Share this profile

CSDB.GGgilbertPREMIER19,876 · Purple band30 DAYS0 ELOPEAK ELO1,202csdb.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

Aim72
Positioning43
Utility70

0–100 skill scores via Leetify.

Recent form

COLD47–43–10Last 10047%Win rateLLWLWLLLLL

Last 10 vs previous 10: −50pp win rate · −0.04 avg rating · +4.1pp headshot accuracy · +41ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 662ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 656ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 636ms

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 (+3.2 against its own average).

Aim7.2
Utility7.0
Positioning4.3
Opening Duels0.1
Clutch3.8

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 79% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

CT openings. Opening success drops from 44% on T to 26% on CT — first contacts on the defending side are being lost.

Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.2
Positioning4.3
Utility7.0
Mechanics6.6
Opening Duels1.7
Win Impact5.6

Composite 5.8/10 (Solid), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time623ms+70ms
first ⅓ avg 552ms → last ⅓ avg 623ms
Headshot accuracy15.2%−1.2%
first ⅓ avg 16.4% → last ⅓ avg 15.2%

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

0.15Best match rating · 13–3 · overpass, 1 Sept →
33%Best headshot accuracy · 13–5 · mirage, 14 Oct →
367msFastest reaction time · 13–11 · office, 7 Sept →
13–1Biggest win · cache, 18 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
5–6In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 100% over 5dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%0.00
cacheC228–1436%-0.01
nukeB158–753%0.02
infernoC73–443%0.01
dust2D72–529%0.02
anubisD72–529%0.03
overpassS55–0100%0.05
officeC52–340%-0.03
ancient—32–167%0.04
vertigo—21–150%-0.03
italy—22–0100%0.00
train—21–150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,472Lifetime kills
0.95K/D
4,030Matches
43.8%Match win rate
41.2%Headshot %
2.0%Shot accuracy
8,085MVPs
2,197Hours (in match)
4,066Bombs planted
921Bombs defused

Most-used weapons

AK-4738,357
MP94,734
AWP4,549
MAC-103,365
MAG-71,291

Lifetime map wins

13,734nuke
2,181dust2
1,868inferno
1,313vertigo
982office
473train
172italy
171lake

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

Faceit stats

Combat

92Matches
58%Win rate
1.28Avg K/D
81.8ADR
37%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3050%1.1515.6
Ancient2370%1.4315.3
Nuke1354%1.6117.0
Dust21136%1.0114.3
Inferno786%1.1318.1
Anubis667%1.3519.7
Overpass10%1.2520.0
Train1100%1.0813.0

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
37.4%Accuracy (enemy spotted)
43.1%Spray accuracy
79.9%Counter-strafing
10.0°Preaim
614msReaction time
43.8%T opening success
26.0%CT opening success
0.59Enemies flashed / flash
6.9%Flash assists
6.27HE damage / grenade
18.95Flashes / 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 25.9704% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0618%20 Oct →
cache6–13-0.0926%20 Oct →
cache13–30.0430%19 Oct →
cache7–13-0.0216%18 Oct →
cache13–1-0.0115%18 Oct →
cache6–13-0.0711%18 Oct →
cache8–13-0.028%18 Oct →
cache10–130.0116%18 Oct →
cache5–130.0311%17 Oct →
inferno6–13-0.0514%17 Oct →
cache13–5-0.0512%17 Oct →
ancient8–130.0213%17 Oct →
nuke13–70.0322%17 Oct →
cache13–30.0716%17 Oct →
nuke13–90.033%17 Oct →
vertigo7–13-0.0412%16 Oct →
dust213–110.0316%16 Oct →
overpass13–10.0913%16 Oct →
overpass13–90.029%16 Oct →
mirage12–12-0.039%16 Oct →
mirage13–40.0219%16 Oct →
mirage7–13-0.0311%16 Oct →
nuke13–110.0615%15 Oct →
mirage13–9-0.0328%14 Oct →
mirage13–60.0213%14 Oct →
cache11–13-0.0521%14 Oct →
mirage13–50.0733%14 Oct →
mirage3–13-0.019%14 Oct →
mirage9–13-0.0014%13 Oct →
mirage13–90.0011%12 Oct →
mirage12–120.0113%12 Oct →
anubis5–130.0814%8 Oct →
anubis9–13-0.0111%8 Oct →
dust28–13-0.0017%8 Oct →
mirage12–12-0.029%7 Oct →
mirage13–3-0.008%6 Oct →
mirage11–13-0.027%5 Oct →
nuke11–130.0218%5 Oct →
nuke6–130.0328%5 Oct →
anubis9–130.1414%5 Oct →
cache5–13-0.0117%5 Oct →
nuke4–130.0724%4 Oct →
cache13–6-0.028%4 Oct →
inferno8–130.014%4 Oct →
italy12–3-0.020%4 Oct →
office4–13-0.080%4 Oct →
dust24–130.008%3 Oct →
nuke12–12-0.0112%3 Oct →
mirage7–130.0112%3 Oct →
cache7–13-0.0517%3 Oct →
mirage13–8-0.0321%30 Sept →
mirage6–13-0.0310%29 Sept →
mirage11–130.0919%26 Sept →
mirage5–1-0.028%26 Sept →
nuke13–10.0812%25 Sept →
italy13–60.0313%24 Sept →
overpass8–1-0.0323%24 Sept →
cache13–8-0.079%24 Sept →
nuke4–13-0.0824%24 Sept →
mirage13–4-0.0011%23 Sept →
train4–13-0.0618%21 Sept →
nuke13–90.0518%21 Sept →
ancient13–70.0812%15 Sept →
vertigo13–9-0.0115%14 Sept →
dust210–13-0.0217%14 Sept →
inferno13–50.1215%14 Sept →
nuke13–40.0727%14 Sept →
train13–70.0411%13 Sept →
nuke12–120.0317%13 Sept →
mirage13–70.025%12 Sept →
anubis13–90.0213%12 Sept →
cache5–130.0018%10 Sept →
anubis12–120.0314%10 Sept →
dust25–130.0117%10 Sept →
nuke13–5-0.0226%10 Sept →
office13–6-0.0019%10 Sept →
office6–13-0.0515%10 Sept →
cache11–130.0616%8 Sept →
dust211–130.0521%8 Sept →
inferno7–130.0021%8 Sept →
office13–110.017%7 Sept →
nuke12–12-0.096%7 Sept →
anubis13–110.0115%7 Sept →
cache10–13-0.0220%7 Sept →
anubis12–12-0.0311%7 Sept →
mirage9–13-0.0214%7 Sept →
cache13–3-0.0116%2 Sept →
nuke13–20.0830%2 Sept →
inferno13–11-0.059%2 Sept →
ancient13–60.0113%2 Sept →
overpass13–50.0417%2 Sept →
inferno13–100.0111%1 Sept →
cache13–70.0318%1 Sept →
office5–13-0.0319%1 Sept →
overpass13–30.1518%1 Sept →
mirage13–10-0.0524%1 Sept →
mirage12–120.0524%1 Sept →
inferno9–130.0013%31 Aug →
dust213–40.0614%31 Aug →
cache12–120.0229%31 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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