WelshStalker

WelshStalker — CS2 Stats

GB76561198068090858[U:1:107825130]Steam profile ↗✓ No bans

1,775Tracked matches39%Win rate2020Tracked since
4,051Hours in CS21Hrs last 2 wks
CSDB Rating3.2 LearningSupport
WingmanGold Nova III
Ladder ranks via Leetify

Performance scores

Aim16
Positioning50
Utility59

0–100 skill scores via Leetify.

Recent form

COLD39–53–8Last 10039%Win rateLLWLTLLWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +4.9pp headshot accuracy · +77ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 666ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 667ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 629ms

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 against its own average).

Aim1.6
Utility5.9
Positioning5.0
Opening Duels3.7

Strong CT-side opener

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.

Strengths & areas to improve

Areas to improve

Reaction time. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim1.6
Positioning5.0
Utility5.9
Mechanics1.6
Opening Duels4.6
Win Impact1.4

Composite 3.2/10 (Learning), 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 time638ms−73ms
first ⅓ avg 711ms → last ⅓ avg 638ms
Headshot accuracy12.0%−2.2%
first ⅓ avg 14.2% → last ⅓ avg 12.0%

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 · 13–6 · cache, 7 Aug →
32%Best headshot accuracy · 4–13 · inferno, 25 Sept →
406msFastest reaction time · 3–13 · anubis, 13 Aug →
13–2Biggest win · nuke, 4 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–9In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 61% over 18dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA1811–761%-0.03
nukeB168–850%-0.04
cacheD134–931%-0.03
vertigoC125–742%-0.05
mirageD92–722%-0.02
anubisC73–443%-0.01
dust2D51–420%-0.05
office—42–250%-0.02
boulder—30–30%-0.09
ancient—31–233%0.00
overpass—21–150%0.03
shelter—21–150%-0.06
train—20–20%-0.03
italy—20–20%-0.05
fachwerk—10–10%-0.01
eldorado—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,868Lifetime kills
0.89K/D
5,065Matches
39.8%Match win rate
29.6%Headshot %
8.1%Shot accuracy
9,905MVPs
2,053Hours (in match)
6,100Bombs planted
1,027Bombs defused

Most-used weapons

AK-4715,211
AWP11,252
Negev4,245
XM10143,172
P902,295
SSG 081,981

Lifetime map wins

10,413inferno
6,105dust2
5,516nuke
2,750vertigo
1,222office
1,207train
528cbble
197italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.3%Headshot accuracy
24.9%Accuracy (enemy spotted)
30.4%Spray accuracy
57.0%Counter-strafing
11.8°Preaim
645msReaction time
43.9%T opening success
52.8%CT opening success
0.49Enemies flashed / flash
3.5%Flash assists
10.47HE damage / grenade
7.89Flashes / 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. 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 12.3115% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4915 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 5 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
inferno11–13-0.0110%27 Sept →
dust24–13-0.0910%27 Sept →
vertigo13–11-0.018%27 Sept →
vertigo8–13-0.1114%27 Sept →
nuke12–120.0517%26 Sept →
inferno4–13-0.0232%25 Sept →
cache10–13-0.0211%24 Sept →
inferno13–8-0.0216%24 Sept →
nuke3–13-0.1013%24 Sept →
inferno13–60.0129%24 Sept →
cache13–10-0.069%23 Sept →
inferno10–130.036%22 Sept →
cache12–120.0414%22 Sept →
office7–13-0.044%19 Sept →
inferno13–9-0.0213%19 Sept →
nuke3–13-0.0911%18 Sept →
cache13–7-0.043%18 Sept →
anubis13–70.0626%17 Sept →
inferno5–13-0.0611%17 Sept →
nuke11–13-0.0215%15 Sept →
overpass13–100.0211%15 Sept →
shelter7–13-0.0219%10 Sept →
boulder7–13-0.103%10 Sept →
nuke13–90.0216%10 Sept →
inferno13–9-0.0310%10 Sept →
dust24–13-0.0813%8 Sept →
vertigo9–13-0.0012%8 Sept →
nuke13–11-0.0211%8 Sept →
train4–13-0.050%7 Sept →
inferno10–13-0.026%7 Sept →
vertigo13–8-0.0310%5 Sept →
dust24–13-0.048%5 Sept →
inferno13–8-0.057%4 Sept →
nuke13–2-0.133%4 Sept →
anubis12–12-0.029%4 Sept →
overpass11–130.035%4 Sept →
vertigo3–13-0.168%4 Sept →
mirage11–130.025%1 Sept →
ancient11–13-0.0421%31 Aug →
anubis13–60.0511%30 Aug →
cache1–13-0.178%30 Aug →
mirage6–13-0.049%30 Aug →
shelter13–7-0.092%29 Aug →
cache11–13-0.0510%21 Aug →
inferno13–9-0.0318%19 Aug →
anubis13–6-0.0512%19 Aug →
nuke13–4-0.0120%17 Aug →
mirage13–8-0.0513%17 Aug →
boulder4–13-0.0914%17 Aug →
cache9–13-0.0419%16 Aug →
vertigo13–9-0.0114%16 Aug →
vertigo7–13-0.0316%15 Aug →
ancient13–20.049%15 Aug →
cache12–120.0010%15 Aug →
inferno13–70.008%15 Aug →
mirage7–13-0.032%15 Aug →
nuke3–13-0.0415%15 Aug →
italy5–13-0.0618%14 Aug →
anubis3–13-0.0716%13 Aug →
inferno11–13-0.0812%13 Aug →
italy10–13-0.059%12 Aug →
nuke13–7-0.048%12 Aug →
vertigo13–7-0.048%12 Aug →
inferno13–11-0.063%11 Aug →
mirage12–12-0.0111%11 Aug →
nuke13–70.0213%11 Aug →
dust27–13-0.068%11 Aug →
inferno13–7-0.0520%11 Aug →
office13–9-0.0512%10 Aug →
nuke5–13-0.0314%10 Aug →
vertigo13–70.019%10 Aug →
nuke10–13-0.049%9 Aug →
inferno13–11-0.0213%9 Aug →
anubis8–13-0.0112%9 Aug →
boulder9–13-0.0826%9 Aug →
office13–80.056%7 Aug →
cache13–60.077%7 Aug →
nuke13–10-0.084%7 Aug →
fachwerk4–13-0.0123%6 Aug →
mirage11–13-0.005%6 Aug →
cache5–13-0.0211%6 Aug →
vertigo10–13-0.0517%6 Aug →
cache12–12-0.0712%5 Aug →
anubis4–13-0.0226%5 Aug →
mirage5–130.0222%5 Aug →
vertigo9–13-0.0319%5 Aug →
cache13–8-0.0622%5 Aug →
nuke13–5-0.018%4 Aug →
office12–12-0.0218%3 Aug →
ancient8–130.0119%3 Aug →
mirage3–13-0.0925%3 Aug →
inferno13–110.0115%2 Aug →
mirage13–7-0.0311%2 Aug →
dust213–70.0218%2 Aug →
inferno7–13-0.0611%2 Aug →
train9–13-0.0118%1 Aug →
cache11–130.0420%1 Aug →
nuke8–8-0.168%1 Aug →
eldorado6–9-0.0711%1 Aug →
vertigo6–9-0.140%1 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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