GAMBLER_1K

GAMBLER_1K — CS2 Stats

76561197962803206[U:1:2537478]Steam profile ↗✓ No bans

3,256Tracked matches53%Win rate2022Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating3,516Grey band · top ~85.1% of ranked players (population est.)
FaceitLevel 7 · 1,140 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (3 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: 3,516 -1,806 27 Jul – 4 Nov · 10 days played
3,5166,997peak 6,99727 Jul4 Nov
6,997Peak Premier in tracked matches
1,140Highest Faceit ELO seen on CSDB
53Days played since 2026-06-23

Faceit ELO

  • At peak — 1,140
  • Next: Level 6 at 1,201 — 61 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-08
  • Level 4 first seen 2026-09-08

Premier CS Rating

  • 3,481 below peak (6,997)
  • -1,362 over 90 days
  • Next: Light Blue band at 5,000 — 1,484 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGGAMBLER_1KFACEITLevel 7 · 1,140 ELOSTANDINGTop 42.3% of rankedPREMIER3,516 · Grey bandPEAK ELO1,140csdb.gg/stats

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Performance scores

Aim69
Positioning59
Utility40

0–100 skill scores via Leetify.

Recent form

COLD46–53–1Last 10046%Win rateLLLLLWWLWL

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −1.2pp headshot accuracy · +16ms reaction

Win rate down 30pp 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 535ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 592ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 584ms

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 (+1.8 against its own average).

Aim6.9
Utility4.0
Positioning5.9
Opening Duels3.1
Clutch3.4

Limited utility dependence

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 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim6.9
Positioning5.9
Utility4.0
Mechanics3.3
Opening Duels4.7
Win Impact6.1

Composite 4.9/10 (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 rating0.01+0.04
first ⅓ avg -0.04 → last ⅓ avg 0.01
Reaction time595ms−103ms
first ⅓ avg 698ms → last ⅓ avg 595ms
Headshot accuracy19.4%+2.9%
first ⅓ avg 16.5% → last ⅓ avg 19.4%

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

0.09Best match rating · 13–10 · anubis, 26 Oct →
38%Best headshot accuracy · 1–6 · inferno, 20 Jul →
438msFastest reaction time · 11–13 · inferno, 7 Nov →
13–2Biggest win · anubis, 6 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
9–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 80% over 10infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageD298–2128%-0.02
dust2A2212–1055%-0.01
cacheC125–742%-0.02
infernoD102–820%-0.03
anubisS108–280%0.02
nukeS96–367%-0.03
ancientA85–363%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,021Matches
49%Win rate
0.98Avg K/D
81.9ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage88450%1.0416.3
Ancient42650%0.9515.5
Inferno42645%0.9215.1
Dust235548%0.9915.7
Anubis30846%0.9115.3
Nuke27145%0.9715.9
Vertigo16452%0.9315.5
Overpass10851%1.0316.0

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.

19.5%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.3%Spray accuracy
64.9%Counter-strafing
8.4°Preaim
580msReaction time
49.7%T opening success
47.9%CT opening success
0.51Enemies flashed / flash
3.5%Flash assists
10.38HE damage / grenade
2.94Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.935 — below the 4 mark we flag

    Grenade Lineups →
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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–130.0815%7 Nov →
mirage10–13-0.0525%4 Nov →
mirage11–13-0.027%4 Nov →
inferno11–13-0.0616%3 Nov →
cache7–13-0.0125%2 Nov →
dust213–60.0624%29 Oct →
anubis13–100.0127%29 Oct →
cache5–13-0.0918%29 Oct →
nuke13–11-0.0420%29 Oct →
inferno7–13-0.039%26 Oct →
cache13–10-0.0022%26 Oct →
anubis13–100.0916%26 Oct →
dust210–130.0332%20 Sept →
ancient16–130.0121%20 Sept →
nuke13–110.0321%18 Sept →
mirage13–40.0729%10 Sept →
mirage10–130.0020%7 Sept →
anubis13–20.098%6 Sept →
mirage7–13-0.033%29 Aug →
dust214–160.0627%26 Aug →
anubis13–90.0117%24 Aug →
cache13–90.0525%24 Aug →
mirage5–13-0.126%23 Aug →
inferno13–5-0.0421%23 Aug →
dust213–110.0628%21 Aug →
dust213–100.0425%20 Aug →
mirage8–13-0.118%20 Aug →
dust213–40.0416%17 Aug →
cache19–150.0616%15 Aug →
inferno3–130.0033%14 Aug →
mirage9–13-0.0620%13 Aug →
ancient13–8-0.0117%13 Aug →
ancient13–100.0326%9 Aug →
mirage10–130.0725%9 Aug →
mirage8–13-0.039%8 Aug →
dust213–30.0713%7 Aug →
ancient13–5-0.020%5 Aug →
ancient16–130.0419%4 Aug →
nuke13–110.086%4 Aug →
nuke19–22-0.0518%4 Aug →
dust213–90.0414%3 Aug →
cache13–70.0722%2 Aug →
cache2–10-0.0821%2 Aug →
mirage10–13-0.0213%2 Aug →
dust29–130.000%2 Aug →
mirage13–70.0720%1 Aug →
inferno13–60.0615%1 Aug →
cache11–13-0.0214%1 Aug →
dust213–4-0.0713%31 Jul →
nuke13–11-0.0415%31 Jul →
mirage13–6-0.0412%30 Jul →
nuke13–8-0.0712%29 Jul →
dust20–13-0.080%29 Jul →
mirage9–13-0.0310%27 Jul →
cache6–13-0.120%27 Jul →
nuke9–13-0.050%26 Jul →
cache13–8-0.0517%26 Jul →
anubis13–100.0021%25 Jul →
anubis7–13-0.0814%24 Jul →
dust210–13-0.028%24 Jul →
mirage15–15-0.0814%24 Jul →
dust25–13-0.056%24 Jul →
mirage7–13-0.038%23 Jul →
dust27–13-0.045%23 Jul →
nuke13–8-0.1110%23 Jul →
dust214–16-0.0713%23 Jul →
cache1–6-0.070%23 Jul →
ancient3–13-0.1330%23 Jul →
ancient2–13-0.120%23 Jul →
mirage4–13-0.035%23 Jul →
dust27–13-0.1133%23 Jul →
mirage12–16-0.089%23 Jul →
ancient2–13-0.150%21 Jul →
mirage9–13-0.0912%20 Jul →
dust22–1-0.070%20 Jul →
inferno1–6-0.0738%20 Jul →
anubis13–50.0615%18 Jul →
cache10–13-0.0433%16 Jul →
inferno3–13-0.100%15 Jul →
mirage13–8-0.0221%15 Jul →
mirage11–13-0.065%14 Jul →
dust24–13-0.075%14 Jul →
dust213–6-0.0822%13 Jul →
mirage8–13-0.0321%13 Jul →
mirage16–130.0316%12 Jul →
dust213–5-0.0517%11 Jul →
anubis13–10-0.0119%6 Jul →
mirage16–140.0215%5 Jul →
anubis13–80.0111%5 Jul →
mirage10–130.0521%5 Jul →
anubis5–13-0.0110%5 Jul →
mirage13–11-0.027%5 Jul →
inferno11–13-0.0527%3 Jul →
dust213–8-0.0130%29 Jun →
mirage8–13-0.0413%27 Jun →
inferno1–13-0.0520%26 Jun →
mirage8–130.0315%26 Jun →
nuke6–130.0224%26 Jun →
dust213–4-0.0121%23 Jun →
mirage13–110.0630%23 Jun →

Match data via Leetify.

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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