Glue gun stanley

Glue gun stanley — CS2 Stats

NR76561197983824560[U:1:23558832]Steam profile ↗VAC banned

1,277Tracked matches28%Win rate2020Tracked since
4,414Hours in CS10Hrs last 2 wks
CSDB Rating4.9 DevelopingSupport
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

+25Tracked matches · now 1,277
−10.3ppWin rate · 37.9% → 27.6%

Rating over time

Premier CS Rating: 20,121 +676 28 Dec – 18 Jan · 10 days played
18,42420,121peak 20,12128 Dec18 Jan
20,121Peak Premier in tracked matches
48Days played since 2025-09-11

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

Performance scores

Aim69
Positioning48
Utility54

0–100 skill scores via Leetify.

Recent form

COLD38–58–4Last 10038%Win rateLLLWLLWWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −5.6pp headshot accuracy · +57ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 642ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 623ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 594ms

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 (+1.7 against its own average).

Aim6.9
Utility5.4
Positioning4.8
Opening Duels0.0
Clutch4.6

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

iM

Plays most like iM 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

Reaction time. 621ms 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

Aim6.9
Positioning4.8
Utility5.4
Mechanics6.7
Opening Duels0.7
Win Impact0.0

Composite 4.9/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time630ms−81ms
first ⅓ avg 711ms → last ⅓ avg 630ms
Headshot accuracy22.6%−3.0%
first ⅓ avg 25.6% → last ⅓ avg 22.6%

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

0.08Best match rating · 5–13 · ancient, 31 Oct →
42%Best headshot accuracy · 13–5 · inferno, 16 Aug →
438msFastest reaction time · 5–13 · ancient, 8 Oct →
13–2Biggest win · mirage, 29 Dec →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
5–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 100% over 5ancientWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D299–2031%-0.04
infernoC166–1038%-0.02
mirageB147–750%-0.04
nukeC125–742%-0.03
ancientD80–80%-0.01
anubisD61–517%-0.04
overpassS54–180%0.00
trainS55–0100%0.00
cache—41–325%-0.03
cache_b—10–10%-0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

134,591Lifetime kills
0.98K/D
6,635Matches
38.5%Match win rate
46.7%Headshot % · Top 50% of tracked players
14.9%Shot accuracy · Top 50% of tracked players
12,600MVPs
2,842Hours (in match)
8,333Bombs planted
1,267Bombs defused

Most-used weapons

AK-4733,581
AWP21,258
P2503,841
SSG 082,650
P902,609

Lifetime map wins

9,386dust2
8,741inferno
5,757nuke
1,921train
1,503cbble
1,070vertigo
399office
324aztec

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

Faceit stats

Combat

688Matches
51%Win rate
0.96Avg K/D
74.6ADR
47%Headshot %

Clutches & streaks

43%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno6442%0.9514.0
Anubis6258%1.0415.1
Mirage5556%0.9513.8
Nuke5353%0.9314.4
Dust23647%1.0513.5
Ancient3352%0.9815.6
Overpass1867%0.9414.9
Vertigo1638%0.7912.7

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.

23.1%Headshot accuracy
32.4%Accuracy (enemy spotted)
34.7%Spray accuracy
80.1%Counter-strafing
9.7°Preaim
621msReaction time
32.0%T opening success
33.7%CT opening success
0.54Enemies flashed / flash
5.9%Flash assists
10.27HE damage / grenade
12.70Flashes / 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

    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 32.0491% — below the 40% mark we flag

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.

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0214%3 Nov →
nuke10–13-0.0617%2 Nov →
ancient5–130.0839%31 Oct →
cache13–9-0.0316%30 Oct →
dust22–13-0.059%30 Oct →
dust26–13-0.0710%29 Oct →
dust213–6-0.0419%28 Oct →
dust216–13-0.0529%25 Oct →
mirage5–130.0024%16 Oct →
ancient5–130.0222%16 Oct →
ancient0–9-0.0818%13 Oct →
nuke16–12-0.0317%13 Oct →
cache8–130.0137%13 Oct →
nuke5–13-0.0326%13 Oct →
ancient5–13-0.0222%8 Oct →
nuke13–3-0.0225%8 Oct →
inferno13–100.0123%8 Oct →
inferno6–130.0222%16 Aug →
anubis4–13-0.0923%16 Aug →
inferno13–50.0242%16 Aug →
cache8–13-0.0918%13 Aug →
dust24–13-0.0614%13 Aug →
dust28–13-0.0624%8 May →
overpass8–13-0.0518%8 May →
inferno6–13-0.0129%7 May →
ancient12–12-0.0121%7 May →
cache11–13-0.0124%7 May →
inferno16–14-0.0136%26 Feb →
dust23–13-0.0933%26 Feb →
inferno14–16-0.0719%14 Feb →
ancient13–16-0.0420%14 Feb →
dust213–10-0.0211%14 Feb →
nuke13–6-0.0028%14 Feb →
mirage13–60.0233%14 Feb →
dust216–13-0.0317%13 Feb →
inferno9–13-0.0524%13 Feb →
dust214–160.0127%11 Feb →
anubis9–13-0.0917%11 Feb →
mirage9–13-0.0627%28 Jan →
dust213–11-0.0319%26 Jan →
nuke13–60.0324%26 Jan →
nuke9–13-0.0418%23 Jan →
mirage6–13-0.0942%23 Jan →
anubis11–13-0.0121%23 Jan →
overpass13–110.0129%18 Jan →
train13–50.0630%18 Jan →
inferno13–80.0022%18 Jan →
mirage13–8-0.0524%18 Jan →
mirage13–6-0.0231%18 Jan →
dust213–30.0419%17 Jan →
train16–120.0330%17 Jan →
dust22–13-0.130%16 Jan →
train13–4-0.0426%16 Jan →
mirage13–11-0.0327%16 Jan →
dust211–13-0.0326%16 Jan →
anubis5–13-0.0714%10 Jan →
dust27–13-0.1027%10 Jan →
dust210–13-0.0327%9 Jan →
nuke5–13-0.0621%9 Jan →
mirage7–13-0.0723%7 Jan →
inferno7–13-0.0723%7 Jan →
dust212–120.0126%7 Jan →
dust25–130.0019%1 Jan →
inferno2–13-0.1017%1 Jan →
dust213–5-0.0318%1 Jan →
dust215–15-0.0226%30 Dec →
inferno11–13-0.0521%30 Dec →
inferno6–13-0.0123%29 Dec →
overpass13–30.0631%29 Dec →
mirage13–20.0023%29 Dec →
dust210–13-0.0826%29 Dec →
inferno9–13-0.0331%28 Dec →
train13–7-0.0114%28 Dec →
nuke10–13-0.0024%28 Dec →
mirage13–8-0.0432%28 Dec →
mirage13–6-0.0332%28 Dec →
nuke6–13-0.0927%22 Dec →
dust215–15-0.0235%22 Dec →
mirage1–13-0.0613%13 Dec →
anubis13–70.0331%11 Dec →
ancient2–130.0132%11 Dec →
dust29–13-0.090%5 Dec →
inferno13–100.0227%30 Nov →
cache_b10–13-0.1016%27 Nov →
overpass16–120.0339%25 Nov →
mirage4–13-0.0832%26 Oct →
dust211–130.0226%19 Oct →
nuke11–13-0.0426%19 Oct →
mirage7–13-0.0416%9 Oct →
dust27–13-0.0426%5 Oct →
inferno13–11-0.0718%23 Sept →
dust28–13-0.0318%23 Sept →
dust213–9-0.0114%19 Sept →
overpass13–8-0.0228%17 Sept →
dust213–3-0.0230%17 Sept →
train13–8-0.0334%16 Sept →
inferno8–13-0.0028%16 Sept →
dust21–13-0.0437%13 Sept →
nuke13–3-0.0435%13 Sept →
ancient7–13-0.0423%11 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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