Bargo

Bargo — CS2 Stats

76561198034035881[U:1:73770153]Steam profile ↗✓ No bans

481Tracked matches34%Win rate2020Tracked since
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating6,029Light Blue band · top ~73.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 6,029 -4,462 20 Jul – 12 Oct · 24 days played
6,02911,781peak 11,78120 Jul12 Oct
11,781Peak Premier in tracked matches
37Days played since 2026-05-16

Premier CS Rating

  • 5,752 below peak (11,781)
  • -2,809 over 30 days · declining
  • -4,462 over 90 days
  • Next: Blue band at 10,000 — 3,971 to go
  • Reached: Blue band · Light Blue band

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

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CSDB.GGBargoPREMIER6,029 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim70
Positioning53
Utility29

0–100 skill scores via Leetify.

Recent form

COLD40–54–6Last 10040%Win rateLWLLWLLLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.3pp headshot accuracy · +78ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 692ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 648ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 609ms

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 (+0.8 against its own average).

Aim7.0
Utility2.9
Positioning5.3
Opening Duels5.2

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

s1mple

Plays most like s1mple 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 627ms 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

Aim7.0
Positioning5.3
Utility2.9
Mechanics7.0
Opening Duels4.0
Win Impact0.0

Composite 4.5/10 (Developing), 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-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time607ms−41ms
first ⅓ avg 648ms → last ⅓ avg 607ms
Headshot accuracy13.0%+0.3%
first ⅓ avg 12.6% → last ⅓ avg 13.0%

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

0.13Best match rating · 13–6 · nuke, 21 Jul →
36%Best headshot accuracy · 2–13 · mirage, 4 Jul →
453msFastest reaction time · 13–7 · inferno, 19 Jul →
13–1Biggest win · dust2, 23 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 54% over 13infernoWeakest map · 25% over 20
MapGradePlayedRecordWin rateAvg rating
nukeB2512–1348%-0.01
mirageC219–1243%0.01
infernoD205–1525%0.02
dust2B137–654%-0.01
cacheD93–633%0.00
ancientC83–538%-0.02
poseidon—30–30%-0.02
overpass—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

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
39.2%Accuracy (enemy spotted)
42.1%Spray accuracy
81.4%Counter-strafing
9.9°Preaim
627msReaction time
36.5%T opening success
55.5%CT opening success
0.49Enemies flashed / flash
7.3%Flash assists
7.39HE damage / grenade
5.21Flashes / 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 12.2888% — 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 0.4934 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 36.5135% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage1–13-0.044%12 Oct →
nuke13–40.0819%12 Oct →
mirage6–130.016%11 Oct →
nuke14–160.0119%7 Sept →
cache13–9-0.063%3 Sept →
inferno4–13-0.0022%2 Sept →
cache10–130.0220%2 Sept →
nuke6–13-0.038%2 Sept →
mirage9–130.0012%2 Sept →
mirage13–40.047%2 Sept →
nuke5–130.0014%2 Sept →
mirage13–7-0.0113%2 Sept →
mirage11–130.0511%2 Sept →
dust213–10-0.0524%29 Aug →
nuke7–13-0.009%28 Aug →
cache7–13-0.039%28 Aug →
inferno13–100.1011%28 Aug →
inferno15–15-0.029%28 Aug →
inferno9–130.079%28 Aug →
nuke10–13-0.0110%27 Aug →
poseidon4–9-0.1725%27 Aug →
mirage13–90.1013%27 Aug →
mirage10–130.0611%25 Aug →
nuke13–11-0.0414%24 Aug →
nuke13–100.0222%23 Aug →
nuke16–140.027%22 Aug →
dust27–13-0.0217%20 Aug →
nuke10–13-0.170%19 Aug →
inferno11–130.0314%19 Aug →
ancient9–13-0.069%18 Aug →
dust214–16-0.019%18 Aug →
ancient13–50.0025%15 Aug →
inferno13–40.1022%14 Aug →
ancient0–9-0.096%14 Aug →
nuke8–13-0.086%13 Aug →
mirage8–13-0.0312%13 Aug →
mirage9–13-0.0820%13 Aug →
cache13–60.0212%12 Aug →
mirage13–80.0118%12 Aug →
inferno10–130.0619%12 Aug →
cache9–130.048%11 Aug →
dust215–15-0.0212%11 Aug →
inferno4–13-0.066%10 Aug →
dust213–90.0717%10 Aug →
inferno13–100.017%23 Jul →
nuke13–80.015%23 Jul →
mirage13–9-0.0112%23 Jul →
mirage13–80.036%23 Jul →
dust213–10.1115%23 Jul →
ancient8–1-0.0018%23 Jul →
inferno7–130.0212%22 Jul →
nuke8–13-0.085%22 Jul →
mirage15–15-0.0212%22 Jul →
inferno6–13-0.0112%22 Jul →
nuke7–13-0.0813%22 Jul →
poseidon8–80.0715%22 Jul →
mirage14–16-0.0116%22 Jul →
nuke9–13-0.0311%22 Jul →
dust213–9-0.0311%21 Jul →
nuke13–60.1316%21 Jul →
cache9–130.0114%20 Jul →
dust213–10-0.0216%20 Jul →
inferno10–130.0410%20 Jul →
nuke11–130.005%20 Jul →
nuke13–70.0410%20 Jul →
nuke8–13-0.058%20 Jul →
inferno13–70.0610%19 Jul →
ancient13–11-0.0313%19 Jul →
dust213–80.0015%19 Jul →
mirage13–7-0.0610%19 Jul →
mirage9–130.0113%10 Jul →
ancient10–130.0613%10 Jul →
mirage13–70.0418%9 Jul →
nuke6–13-0.107%9 Jul →
dust24–13-0.0719%9 Jul →
mirage8–130.0319%9 Jul →
cache15–15-0.0512%9 Jul →
ancient8–13-0.0119%9 Jul →
dust213–40.0313%9 Jul →
cache1–130.047%9 Jul →
inferno13–10-0.016%9 Jul →
dust22–13-0.089%9 Jul →
inferno15–15-0.0216%9 Jul →
nuke13–10-0.0311%9 Jul →
cache13–40.0417%7 Jul →
inferno11–130.0017%6 Jul →
dust29–130.0215%5 Jul →
nuke13–80.0316%4 Jul →
mirage2–13-0.0236%4 Jul →
nuke13–110.016%1 Jul →
inferno11–13-0.0111%1 Jul →
overpass13–70.0410%1 Jul →
inferno3–13-0.0310%18 Jun →
poseidon7–90.0513%18 Jun →
inferno11–130.0213%19 May →
inferno13–160.0213%18 May →
nuke13–80.007%18 May →
ancient9–13-0.016%18 May →
mirage13–20.094%16 May →
nuke16–120.015%16 May →

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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