galo1

galo1 — CS2 Stats

BR76561197988766264[U:1:28500536]Steam profile ↗✓ No bans

220Tracked matches46%Win rate2025Tracked since
336Hours in CS11Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+36Tracked matches · now 220
+4.1ppWin rate · 42.3% → 46.4%

Rating over time

54Days played since 2026-06-04

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim28
Positioning57
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY36–57–7Last 10036%Win rateLLLTWWWTWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.5pp headshot accuracy · +53ms reaction

Win rate up 20pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 774ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 717ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 690ms

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 (+1.3 against its own average).

Aim2.8
Utility5.1
Positioning5.7
Opening Duels2.5

Strong T-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.

Your pro match

donk

Plays most like donk 57% 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

CT openings. Opening success drops from 50% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 694ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim2.8
Positioning5.7
Utility5.1
Mechanics4.2
Opening Duels2.6
Win Impact3.8

Composite 4.0/10 (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-0.05+0.02
first ⅓ avg -0.07 → last ⅓ avg -0.05
Reaction time679ms−106ms
first ⅓ avg 785ms → last ⅓ avg 679ms
Headshot accuracy13.1%+2.4%
first ⅓ avg 10.7% → last ⅓ avg 13.1%

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

0.12Best match rating · 12–12 · dust2, 22 Aug →
25%Best headshot accuracy · 2–13 · dust2, 6 Aug →
531msFastest reaction time · 6–13 · dust2, 5 Sept →
13–1Biggest win · cache, 16 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
5–4In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 50% over 16anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D298–2128%-0.05
mirageC2710–1737%-0.06
cacheB168–850%-0.05
infernoC125–742%-0.06
nukeB63–350%-0.02
anubisD61–517%-0.08
ancient—31–233%-0.06
overpass—10–10%-0.12

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,077Lifetime kills
0.87K/D
1,277Matches
24.7%Match win rate
29.9%Headshot %
12.1%Shot accuracy · Top 50% of tracked players
379MVPs
255Hours (in match)
471Bombs planted
42Bombs defused

Most-used weapons

Lifetime map wins

953dust2
493inferno
190nuke
54lake
40ar_shoots
34safehouse
26stmarc
23ar_monastery

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.

12.9%Headshot accuracy
28.5%Accuracy (enemy spotted)
28.6%Spray accuracy
69.0%Counter-strafing
9.9°Preaim
694msReaction time
50.3%T opening success
30.8%CT opening success
0.68Enemies flashed / flash
5.8%Flash assists
6.87HE damage / grenade
11.16Flashes / 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 12.9009% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.7643% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.088%12 Oct →
dust211–130.0020%12 Oct →
cache3–13-0.139%12 Oct →
inferno12–12-0.0711%12 Oct →
mirage13–6-0.045%12 Oct →
ancient13–4-0.0411%10 Oct →
dust213–9-0.019%10 Oct →
dust212–12-0.069%9 Oct →
mirage13–9-0.0515%8 Oct →
dust22–13-0.0523%7 Oct →
inferno13–4-0.0816%7 Oct →
mirage7–13-0.055%6 Oct →
mirage9–13-0.0517%2 Oct →
dust27–13-0.0718%2 Oct →
nuke11–13-0.0722%25 Sept →
cache9–13-0.088%25 Sept →
dust25–13-0.096%24 Sept →
anubis10–13-0.0710%20 Sept →
inferno4–13-0.0722%20 Sept →
cache13–11-0.0411%20 Sept →
mirage7–13-0.0812%20 Sept →
nuke13–6-0.0611%19 Sept →
cache13–10-0.0413%7 Sept →
nuke13–20.0814%7 Sept →
dust213–11-0.0117%7 Sept →
mirage13–60.0316%7 Sept →
nuke13–80.0013%7 Sept →
cache5–13-0.0613%7 Sept →
dust21–13-0.0514%7 Sept →
mirage13–5-0.0310%7 Sept →
dust213–4-0.0617%5 Sept →
dust26–13-0.0615%5 Sept →
dust28–13-0.0513%4 Sept →
mirage13–8-0.0223%4 Sept →
inferno13–9-0.0714%3 Sept →
dust28–13-0.079%3 Sept →
cache9–13-0.008%28 Aug →
dust213–110.0118%27 Aug →
mirage2–13-0.144%27 Aug →
mirage13–10-0.086%25 Aug →
cache12–12-0.0024%24 Aug →
mirage12–12-0.014%24 Aug →
dust212–120.1213%22 Aug →
anubis0–13-0.110%22 Aug →
dust213–6-0.0311%21 Aug →
mirage7–13-0.0513%21 Aug →
inferno7–13-0.0816%19 Aug →
dust28–13-0.0413%18 Aug →
nuke6–13-0.0216%18 Aug →
inferno13–7-0.1021%14 Aug →
anubis11–13-0.058%13 Aug →
mirage13–5-0.0817%13 Aug →
dust26–13-0.088%8 Aug →
cache13–5-0.053%8 Aug →
inferno10–13-0.056%8 Aug →
dust22–13-0.0825%6 Aug →
mirage13–10-0.0817%6 Aug →
ancient7–13-0.1010%5 Aug →
anubis12–12-0.0516%28 Jul →
inferno5–130.025%27 Jul →
mirage8–13-0.085%22 Jul →
dust29–13-0.0812%21 Jul →
dust213–3-0.0124%21 Jul →
cache13–11-0.068%20 Jul →
cache13–1-0.067%16 Jul →
dust213–3-0.1214%16 Jul →
mirage9–13-0.1123%14 Jul →
dust22–13-0.0410%14 Jul →
anubis4–13-0.090%13 Jul →
dust22–13-0.0915%13 Jul →
cache13–7-0.079%11 Jul →
inferno7–13-0.039%11 Jul →
mirage5–13-0.1220%10 Jul →
cache10–13-0.0718%9 Jul →
cache10–13-0.0521%7 Jul →
inferno7–13-0.127%6 Jul →
mirage5–13-0.086%6 Jul →
mirage9–13-0.089%4 Jul →
cache13–20.0111%4 Jul →
mirage13–8-0.043%2 Jul →
dust212–12-0.108%1 Jul →
inferno13–4-0.043%29 Jun →
mirage4–13-0.0819%29 Jun →
cache5–13-0.0710%29 Jun →
dust24–13-0.1214%29 Jun →
mirage10–13-0.0010%26 Jun →
mirage7–13-0.035%23 Jun →
dust213–7-0.0821%23 Jun →
ancient7–13-0.065%22 Jun →
mirage11–13-0.1014%18 Jun →
anubis13–11-0.108%17 Jun →
dust28–13-0.1016%12 Jun →
nuke4–13-0.076%12 Jun →
inferno13–9-0.0210%12 Jun →
cache13–10-0.0611%9 Jun →
dust24–13-0.1118%9 Jun →
mirage13–5-0.108%8 Jun →
mirage9–13-0.0210%4 Jun →
dust28–13-0.0210%4 Jun →
overpass7–13-0.127%4 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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