GamJa

GamJa — CS2 Stats

KR76561199570935770[U:1:1610670042]Steam profile ↗✓ No bans

2,578Tracked matches43%Win rate2024Tracked since
CSDB Rating5.5 SolidPositional Player
Premier CS Rating20,701Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#74507 of 261579 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+593Premier CS Rating · 20,108 → 20,701

Rating over time

Premier CS Rating: 20,701 +2,134 3 Sept – 14 Nov · 37 days played
18,56722,843peak 22,8433 Sept14 Nov
23,207Peak Premier in tracked matches
36Days played since 2026-09-03

Premier CS Rating

  • 2,142 below peak (22,843)
  • -106 over 30 days · steady
  • Next: Red band at 25,000 — 4,299 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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

Share this profile

CSDB.GGGamJaPREMIER20,701 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning61
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLWWLWWLWLT

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · −58ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 473ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 481ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 509ms

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 (+1.4 against its own average).

Aim6.9
Utility4.5
Positioning6.1
Opening Duels3.5

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.

Your pro match

m0NESY

Plays most like m0NESY 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.9
Positioning6.1
Utility4.5
Mechanics5.2
Opening Duels4.0
Win Impact2.6

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time515ms+36ms
first ⅓ avg 479ms → last ⅓ avg 515ms
Headshot accuracy19.1%−0.5%
first ⅓ avg 19.6% → last ⅓ avg 19.1%

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 · 13–5 · dust2, 25 Oct →
44%Best headshot accuracy · 6–13 · mirage, 5 Oct →
328msFastest reaction time · 2–2 · ancient, 19 Sept →
13–1Biggest win · ancient, 17 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 71% over 17mirageWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
ancientS2315–865%0.02
nukeS1712–571%0.01
dust2B178–947%-0.01
anubisC156–940%0.01
infernoC135–838%0.00
mirageD132–1115%-0.02
cache—22–0100%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (15% 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.

18.8%Headshot accuracy
33.1%Accuracy (enemy spotted)
35.8%Spray accuracy
73.5%Counter-strafing
10.1°Preaim
502msReaction time
39.3%T opening success
52.3%CT opening success
0.39Enemies flashed / flash
2.7%Flash assists
7.32HE damage / grenade
7.25Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3933 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 39.3491% — below the 40% mark we flag

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.

15% 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
nuke1–13-0.0911%14 Nov →
inferno13–110.0638%14 Nov →
ancient13–30.0521%14 Nov →
anubis10–13-0.0317%14 Nov →
dust213–5-0.0116%14 Nov →
ancient13–50.0325%13 Nov →
mirage11–13-0.0215%11 Nov →
anubis13–8-0.0324%11 Nov →
inferno9–130.017%9 Nov →
nuke15–150.0121%9 Nov →
nuke9–13-0.088%9 Nov →
mirage8–13-0.0424%8 Nov →
dust213–60.0541%7 Nov →
inferno8–13-0.099%7 Nov →
anubis12–160.0418%5 Nov →
nuke13–90.0321%5 Nov →
inferno11–13-0.0221%3 Nov →
anubis10–130.0314%3 Nov →
dust21–13-0.0517%3 Nov →
nuke13–8-0.0119%2 Nov →
mirage13–90.0215%2 Nov →
mirage16–120.0220%1 Nov →
mirage4–130.0018%1 Nov →
dust210–130.0020%1 Nov →
ancient4–130.0720%1 Nov →
dust213–50.016%1 Nov →
mirage7–13-0.0620%1 Nov →
ancient4–13-0.0721%31 Oct →
ancient13–100.0920%25 Oct →
mirage15–150.0014%25 Oct →
inferno8–13-0.0621%25 Oct →
dust213–50.1223%25 Oct →
cache13–10-0.0226%24 Oct →
nuke13–70.0828%24 Oct →
inferno13–8-0.0115%24 Oct →
dust24–13-0.0724%24 Oct →
nuke13–6-0.0214%23 Oct →
anubis16–12-0.0320%23 Oct →
ancient3–13-0.0213%23 Oct →
dust213–20.0213%22 Oct →
ancient5–13-0.0322%22 Oct →
inferno10–13-0.0225%22 Oct →
dust213–9-0.0629%21 Oct →
ancient13–100.0226%21 Oct →
mirage6–130.0121%21 Oct →
anubis13–50.1227%21 Oct →
mirage10–13-0.0219%20 Oct →
nuke13–70.0924%20 Oct →
mirage6–13-0.0119%20 Oct →
dust213–6-0.0314%20 Oct →
mirage6–13-0.0624%20 Oct →
cache13–70.017%17 Oct →
anubis9–13-0.0110%17 Oct →
nuke13–16-0.0028%17 Oct →
ancient13–10.1232%17 Oct →
inferno11–130.0220%16 Oct →
anubis10–13-0.0223%16 Oct →
nuke13–9-0.0115%16 Oct →
dust28–13-0.0216%16 Oct →
nuke16–14-0.0320%15 Oct →
ancient13–60.0825%15 Oct →
ancient10–130.0622%15 Oct →
dust21–7-0.090%14 Oct →
dust211–13-0.0315%14 Oct →
anubis13–80.0427%11 Oct →
dust26–13-0.0520%10 Oct →
anubis13–70.0625%10 Oct →
ancient16–13-0.0216%5 Oct →
anubis15–15-0.0214%5 Oct →
mirage6–13-0.0244%5 Oct →
dust211–130.0624%3 Oct →
inferno7–13-0.0227%3 Oct →
nuke13–20.0639%3 Oct →
ancient13–40.0521%3 Oct →
inferno13–90.0915%1 Oct →
anubis9–130.0317%1 Oct →
ancient5–13-0.0418%1 Oct →
inferno13–90.0722%29 Sept →
anubis13–11-0.0324%29 Sept →
ancient13–80.0025%27 Sept →
nuke13–110.0123%27 Sept →
nuke13–60.1116%27 Sept →
ancient13–6-0.0419%25 Sept →
mirage15–15-0.0722%25 Sept →
ancient7–13-0.0113%25 Sept →
dust211–13-0.048%25 Sept →
ancient13–110.0620%23 Sept →
ancient13–110.0314%23 Sept →
nuke13–40.0425%20 Sept →
inferno13–50.0815%19 Sept →
ancient13–110.0620%19 Sept →
dust213–8-0.0117%19 Sept →
ancient2–2-0.0325%19 Sept →
nuke13–16-0.0516%17 Sept →
anubis1–13-0.0523%17 Sept →
nuke13–7-0.0310%16 Sept →
ancient13–70.1021%16 Sept →
ancient9–13-0.082%14 Sept →
anubis14–16-0.0111%14 Sept →
inferno9–13-0.0423%10 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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