GilmoreDavid.exe

GilmoreDavid.exe — CS2 Stats

CA76561198030900892[U:1:70635164]Steam profile ↗✓ No bans

1,570Tracked matches33%Win rate2020Tracked since
CSDB Rating3.6 LearningPositional Player
Premier CS Rating6,865Light Blue band · top ~69.9% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,570 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 6,865 -4,236 26 Apr – 11 Sept · 25 days played
6,35511,380peak 11,38026 Apr11 Sept
11,504Peak Premier in tracked matches
34Days played since 2026-04-26

Premier CS Rating

  • 4,515 below peak (11,380)
  • -1,782 over 30 days · declining
  • -3,874 over 90 days
  • Next: Blue band at 10,000 — 3,135 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-08-29

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

Share this profile

CSDB.GGGilmoreDavid.exeFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER6,865 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning46
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateLWWWLLLLWL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −8.7pp headshot accuracy · −32ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 662ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 620ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • 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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim4.7
Utility3.7
Positioning4.6
Opening Duels2.7

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 84% 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. 665ms 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

Aim4.7
Positioning4.6
Utility3.7
Mechanics6.5
Opening Duels1.9
Win Impact0.0

Composite 3.6/10 (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 time666ms−15ms
first ⅓ avg 682ms → last ⅓ avg 666ms
Headshot accuracy14.6%+0.5%
first ⅓ avg 14.1% → last ⅓ avg 14.6%

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

0.07Best match rating · 13–1 · mirage, 16 Jul →
30%Best headshot accuracy · 13–10 · cache, 24 Aug →
438msFastest reaction time · 4–13 · ancient, 26 Apr →
13–1Biggest win · anubis, 25 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 58% over 19nukeWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
cacheA1911–858%-0.04
dust2C167–944%-0.02
mirageC167–944%-0.03
anubisB136–746%-0.01
ancientB126–650%-0.04
infernoD123–925%-0.03
nukeD91–811%-0.03
shelter—10–10%0.04
train—10–10%-0.04
overpass—11–0100%-0.04

Across the last 100 tracked matches.

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

Faceit stats

Combat

65Matches
35%Win rate
0.77Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage30%0.477.3
Vertigo20%0.7214.0
Nuke20%0.9216.5
Anubis1100%0.6712.0
Ancient1100%1.3615.0

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.

14.6%Headshot accuracy
32.4%Accuracy (enemy spotted)
38.3%Spray accuracy
79.4%Counter-strafing
12.2°Preaim
665msReaction time
34.1%T opening success
40.8%CT opening success
0.49Enemies flashed / flash
6.4%Flash assists
9.11HE damage / grenade
5.55Flashes / 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 12.1966° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6457% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4928 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0119%31 Aug →
anubis16–140.0111%31 Aug →
cache13–8-0.106%28 Aug →
ancient13–11-0.0214%28 Aug →
nuke6–13-0.076%28 Aug →
ancient8–13-0.089%27 Aug →
anubis9–13-0.0517%27 Aug →
ancient7–13-0.0510%27 Aug →
inferno13–11-0.049%27 Aug →
cache9–130.0016%27 Aug →
dust211–130.0526%27 Aug →
dust22–13-0.008%25 Aug →
nuke12–160.0320%25 Aug →
anubis3–13-0.0326%24 Aug →
dust25–13-0.0122%24 Aug →
cache13–10-0.0230%24 Aug →
ancient9–13-0.1019%23 Aug →
dust211–13-0.0323%23 Aug →
mirage11–13-0.0715%22 Aug →
cache16–140.0013%10 Aug →
inferno13–11-0.0516%9 Aug →
ancient7–3-0.040%9 Aug →
anubis8–130.0416%9 Aug →
mirage16–14-0.0011%25 Jul →
dust26–13-0.100%25 Jul →
anubis13–10.0213%25 Jul →
shelter4–130.0427%25 Jul →
mirage11–13-0.0511%25 Jul →
nuke7–13-0.106%25 Jul →
anubis1–13-0.0011%24 Jul →
cache8–3-0.0723%24 Jul →
anubis4–13-0.0517%24 Jul →
anubis12–12-0.0413%24 Jul →
mirage11–13-0.0510%24 Jul →
dust213–60.0518%24 Jul →
nuke15–15-0.0113%18 Jul →
anubis13–50.029%18 Jul →
inferno13–9-0.0123%18 Jul →
cache16–12-0.018%18 Jul →
ancient13–100.0218%18 Jul →
mirage13–10-0.0414%17 Jul →
cache16–140.0221%17 Jul →
mirage13–90.0715%17 Jul →
cache13–80.0514%17 Jul →
inferno1–130.019%16 Jul →
mirage13–4-0.037%16 Jul →
inferno12–16-0.0110%16 Jul →
mirage13–10.079%16 Jul →
anubis13–90.0511%16 Jul →
ancient11–130.009%13 Jul →
inferno14–16-0.0412%13 Jul →
inferno4–13-0.0414%12 Jul →
nuke13–4-0.0319%12 Jul →
cache13–40.0014%12 Jul →
dust213–80.0210%12 Jul →
ancient13–5-0.0524%12 Jul →
dust23–13-0.0910%11 Jul →
cache8–13-0.0426%11 Jul →
cache13–9-0.1017%10 Jul →
mirage6–13-0.0111%10 Jul →
dust23–130.0115%10 Jul →
mirage8–13-0.0525%9 Jul →
cache14–16-0.0127%9 Jul →
nuke7–13-0.0618%30 Jun →
train6–13-0.0418%30 Jun →
dust213–10-0.0318%30 Jun →
mirage7–13-0.0514%30 May →
inferno6–13-0.0614%30 May →
cache5–13-0.0422%30 May →
cache8–13-0.0811%28 May →
dust213–10-0.0520%14 May →
mirage13–9-0.0413%14 May →
anubis10–13-0.0516%13 May →
dust28–13-0.0810%13 May →
mirage16–14-0.069%12 May →
cache10–13-0.098%10 May →
dust213–11-0.0815%10 May →
inferno5–13-0.0926%10 May →
anubis13–7-0.0213%10 May →
mirage7–13-0.088%10 May →
dust210–13-0.0313%10 May →
nuke9–13-0.0018%10 May →
ancient13–60.0317%10 May →
dust213–50.0215%9 May →
inferno10–13-0.0221%9 May →
mirage7–13-0.040%6 May →
overpass13–4-0.0412%5 May →
anubis13–10-0.0114%3 May →
dust213–9-0.0418%3 May →
inferno6–130.0121%3 May →
cache10–4-0.078%2 May →
nuke6–130.0620%2 May →
ancient4–13-0.0418%1 May →
mirage3–13-0.0612%1 May →
ancient13–7-0.0211%1 May →
inferno15–15-0.0514%30 Apr →
cache9–13-0.0819%30 Apr →
cache13–8-0.0210%30 Apr →
nuke3–13-0.115%26 Apr →
ancient4–13-0.1016%26 Apr →

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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