Gambino

Gambino — CS2 Stats

76561198186843342[U:1:226577614]Steam profile ↗✓ No bans

2,919Tracked matches57%Win rate2020Tracked since
CSDB Rating6.3 SolidAll-Rounder
Premier CS Rating11,469Blue band · top ~47.1% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−1061Premier CS Rating · 12,530 → 11,469

Rating over time

Premier CS Rating: 11,469 -250 10 Sept – 1 Oct · 16 days played
10,70413,431peak 13,43110 Sept1 Oct
14,155Peak Premier in tracked matches
15Days played since 2026-09-10

Premier CS Rating

  • 1,962 below peak (13,431)
  • Next: Purple band at 15,000 — 3,531 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-10
  • Light Blue band first seen 2026-09-10

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

Share this profile

CSDB.GGGambinoFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER11,469 · Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning64
Utility61

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLLLLLWLLWW

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · −2.8pp headshot accuracy · +14ms reaction

Win rate down 50pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 641ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 632ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 625ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.2
Utility6.1
Positioning6.4
Opening Duels4.7

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

jL

Plays most like jL 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 615ms 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

Aim7.2
Positioning6.4
Utility6.1
Mechanics6.5
Opening Duels5.4
Win Impact7.2

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time615ms−40ms
first ⅓ avg 654ms → last ⅓ avg 615ms
Headshot accuracy23.4%+1.3%
first ⅓ avg 22.1% → last ⅓ avg 23.4%

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 · 9–13 · inferno, 25 Sept →
38%Best headshot accuracy · 6–13 · cache, 21 Sept →
461msFastest reaction time · 12–16 · mirage, 22 Sept →
13–2Biggest win · cache, 29 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L5Current streak
9–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 58% over 12mirageWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB2311–1248%0.01
nukeB179–853%-0.00
cacheD155–1033%0.01
dust2B136–746%-0.01
mirageD134–931%-0.00
ancientA127–558%-0.00
anubisC73–443%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 5 essential Mirage 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.

22.7%Headshot accuracy
32.1%Accuracy (enemy spotted)
32.6%Spray accuracy
79.4%Counter-strafing
7.8°Preaim
615msReaction time
62.2%T opening success
41.2%CT opening success
0.56Enemies flashed / flash
4.2%Flash assists
8.26HE damage / grenade
8.44Flashes / match

Recommended for you

Spend your practice time on Mirage

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0117%1 Oct →
ancient7–13-0.0116%1 Oct →
dust26–13-0.0426%1 Oct →
inferno10–130.0819%30 Sept →
mirage8–13-0.0515%30 Sept →
cache13–80.0517%30 Sept →
nuke8–130.0229%30 Sept →
anubis10–130.0020%30 Sept →
mirage13–40.0726%30 Sept →
inferno13–70.0227%29 Sept →
cache13–20.0929%29 Sept →
dust213–9-0.0220%29 Sept →
ancient13–80.0529%29 Sept →
inferno10–130.0330%29 Sept →
dust26–13-0.0119%29 Sept →
inferno13–110.0124%29 Sept →
dust213–5-0.0218%28 Sept →
nuke16–130.0017%28 Sept →
dust213–6-0.0120%28 Sept →
nuke13–60.1033%28 Sept →
ancient13–10-0.0620%28 Sept →
anubis13–7-0.0128%28 Sept →
anubis14–16-0.0318%27 Sept →
nuke13–160.0424%27 Sept →
nuke7–13-0.0432%27 Sept →
anubis13–10-0.0423%27 Sept →
inferno13–11-0.0322%26 Sept →
nuke13–20.0628%26 Sept →
anubis5–13-0.0527%26 Sept →
cache13–90.0716%26 Sept →
mirage9–130.0822%25 Sept →
ancient13–90.0338%25 Sept →
inferno9–130.0924%25 Sept →
inferno13–30.0134%25 Sept →
ancient13–50.0310%25 Sept →
inferno9–130.1326%25 Sept →
ancient6–13-0.0217%25 Sept →
dust213–10-0.0218%24 Sept →
mirage13–7-0.0415%24 Sept →
cache2–13-0.0223%24 Sept →
cache9–130.0113%24 Sept →
dust22–130.0123%24 Sept →
inferno8–130.0234%24 Sept →
nuke16–13-0.009%24 Sept →
inferno13–16-0.0619%23 Sept →
inferno6–13-0.0117%23 Sept →
inferno15–15-0.0019%23 Sept →
cache6–130.049%23 Sept →
mirage11–13-0.0723%23 Sept →
nuke6–13-0.1220%23 Sept →
cache6–13-0.0324%22 Sept →
inferno13–50.0932%22 Sept →
cache11–13-0.0126%22 Sept →
nuke13–70.0328%22 Sept →
cache15–150.0722%22 Sept →
mirage13–80.0917%22 Sept →
inferno13–110.0037%22 Sept →
mirage12–16-0.0521%22 Sept →
nuke1–9-0.168%22 Sept →
dust213–80.0323%21 Sept →
cache10–130.0129%21 Sept →
inferno13–30.0324%21 Sept →
ancient10–13-0.0022%21 Sept →
inferno13–70.0620%21 Sept →
mirage10–13-0.0314%21 Sept →
inferno10–13-0.0120%21 Sept →
dust28–13-0.0328%21 Sept →
cache13–11-0.0120%21 Sept →
inferno13–9-0.0717%21 Sept →
dust213–9-0.0112%21 Sept →
cache6–13-0.0538%21 Sept →
nuke11–13-0.069%20 Sept →
inferno11–13-0.0229%20 Sept →
ancient13–50.0524%20 Sept →
cache8–13-0.0716%20 Sept →
inferno15–15-0.0216%20 Sept →
ancient5–13-0.0319%19 Sept →
mirage6–130.0121%19 Sept →
nuke13–100.0334%19 Sept →
nuke11–13-0.0533%19 Sept →
ancient13–11-0.0118%19 Sept →
dust210–130.0232%19 Sept →
anubis13–90.0616%19 Sept →
cache10–13-0.0511%18 Sept →
dust28–13-0.0220%18 Sept →
mirage16–140.0418%18 Sept →
nuke13–11-0.0320%18 Sept →
inferno16–130.0120%18 Sept →
nuke13–110.0330%18 Sept →
ancient7–130.0321%18 Sept →
nuke9–130.0618%18 Sept →
inferno13–11-0.0424%18 Sept →
mirage10–130.0123%17 Sept →
anubis9–130.0615%17 Sept →
inferno2–13-0.0828%17 Sept →
mirage9–13-0.0029%17 Sept →
ancient13–9-0.0618%17 Sept →
cache13–100.0521%17 Sept →
nuke13–60.0627%17 Sept →
mirage3–13-0.0533%17 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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