GilmoreDavid.exe — CS2 Stats

76561198030900892[U:1:70635164]✓ No bans

1,568Tracked matches33%Win rate2020Tracked since
CSDB Rating3.5 Learning
Premier CS Rating6,493Light Blue band · top ~71.7% of ranked players (population est.)
CSDB Leaderboard#17462 of 22972 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGGilmoreDavid.exeFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER6,493 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning44
Utility36

0–100 skill scores via Leetify.

Recent form

COLD43543Last 10043%Win rateWWLLLLWLLL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim4.6
Aggression5.6
Utility3.6
Positioning4.4
Opening Duels1.5

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Reaction time. 669ms 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

Aim4.6
Positioning4.4
Utility3.6
Mechanics6.3
Opening Duels1.5
Win Impact0.0

Composite 3.5/10 (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 time668ms−10ms
first ⅓ avg 678ms → last ⅓ avg 668ms
Headshot accuracy14.5%+0.1%
first ⅓ avg 14.4% → last ⅓ avg 14.5%

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.

Highlights

0.07Best rating — mirage 13–1
131Biggest win — anubis
8Longest win streak
W2Current streak
88In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 61% over 18nukeWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
cacheA1811761%-0.04
dust2C167944%-0.02
mirageC167944%-0.03
infernoD134931%-0.04
ancientB126650%-0.04
anubisC125742%-0.01
nukeD102820%-0.03
shelter1010%0.04
train1010%-0.04
overpass110100%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). 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
Nuke20%0.9216.5
Vertigo20%0.7214.0
Ancient1100%1.3615.0
Anubis1100%0.6712.0

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.

14.9%Headshot accuracy
32.3%Accuracy (enemy spotted)
38.1%Spray accuracy
78.5%Counter-strafing
12.4°Preaim
669msReaction time
34.0%T opening success
38.4%CT opening success
0.51Enemies flashed / flash
6.3%Flash assists
9.02HE damage / grenade
5.17Flashes / 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 12.3725° — 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 14.8512% — below the 15% mark we flag

    Aim Training
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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
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
inferno13–8-0.0713%26 Apr
nuke13–10-0.0133%25 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 →