Gamle

Gamle — CS2 Stats

DK76561198162491651[U:1:202225923]Steam profile ↗✓ No bans

2,800Tracked matches37%Win rate2020Tracked since
2,151Hours in CS
CSDB Rating3.4 LearningPositional Player
Premier CS Rating5,755Light Blue band · top ~75.2% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 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: 5,755 +1,206 26 Jul – 22 Oct · 41 days played
4,5498,555peak 8,55526 Jul22 Oct
8,555Peak Premier in tracked matches
44Days played since 2026-07-19

Premier CS Rating

  • 2,800 below peak (8,555)
  • -1,518 over 30 days · declining
  • +1,206 over 90 days
  • Next: Blue band at 10,000 — 4,245 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-23

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches65——
Win rate38%——
K/D1.21——
Headshot %51%——

Measured 24 Sep 2026 → 26 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate41.2%41.3%41.8%meets
Shot accuracy13.4%12.7%12.2%above
Kill/death ratio1.180.950.98above
Match win rate34.2%42.6%43.3%9.1% short

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGamleFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER5,755 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim30
Positioning52
Utility49

0–100 skill scores via Leetify.

Recent form

COLD38–57–5Last 10038%Win rateLLWLLWWLLT

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.2pp headshot accuracy · −65ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 649ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 734ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 766ms

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 (+1.5 against its own average).

Aim3.0
Utility4.9
Positioning5.2
Opening Duels2.5
Clutch2.2

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

ZywOo

Plays most like ZywOo 62% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 750ms 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

Aim3.0
Positioning5.2
Utility4.9
Mechanics4.9
Opening Duels3.3
Win Impact0.7

Composite 3.4/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time742ms−0ms
first ⅓ avg 742ms → last ⅓ avg 742ms
Headshot accuracy10.9%−1.8%
first ⅓ avg 12.8% → last ⅓ avg 10.9%

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 · 13–4 · inferno, 26 Jul →
29%Best headshot accuracy · 13–8 · inferno, 23 Jul →
500msFastest reaction time · 11–13 · inferno, 14 Sept →
13–0Biggest win · inferno, 15 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–10In matches decided by ≤2 rounds
15Overtime games

Map breakdown

dust2Best map · 60% over 5anubisWeakest map · 7% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB2814–1450%-0.03
ancientD248–1633%-0.04
nukeC188–1044%-0.03
anubisD151–147%-0.03
cacheD72–529%-0.04
dust2A53–260%-0.03
mirage—32–167%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (7% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

140,178Lifetime kills
1.18K/D · Top 25% of Level 2 players
7,384Matches
34.2%Match win rate
41.2%Headshot %
13.4%Shot accuracy · Top 50% of Level 2 players
12,618MVPs
2,151Hours (in match)
5,049Bombs planted
1,528Bombs defused

Most-used weapons

AK-4728,484
AWP20,498
AUG6,146
Negev4,493
SG 5534,307

Lifetime map wins

10,721inferno
9,666nuke
4,470vertigo
1,480dust2
1,170train
317lake
154safehouse
148ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

113Matches
42%Win rate
0.68Avg K/D
71.4ADR
29%Headshot %

Clutches & streaks

31%1v1 clutch win
9%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1675%1.0512.7
Inferno1669%1.0014.5
Anubis633%0.7613.7
Ancient520%0.6911.0
Overpass520%1.0315.0
Vertigo40%0.609.8
Train250%1.1017.5
Mirage10%0.6911.0

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.

11.1%Headshot accuracy
35.3%Accuracy (enemy spotted)
34.4%Spray accuracy
72.1%Counter-strafing
12.3°Preaim
750msReaction time
41.5%T opening success
44.5%CT opening success
0.55Enemies flashed / flash
7.6%Flash assists
10.07HE damage / grenade
3.07Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3411° — above the 12° mark we flag

    Aim Training →
  2. 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 11.0675% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 750.3061ms — above the 700ms mark we flag

    Aim Training →
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.

7% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–160.0416%22 Oct →
anubis9–130.036%22 Oct →
dust213–6-0.0218%21 Oct →
cache11–13-0.0512%21 Oct →
nuke6–13-0.0214%21 Oct →
inferno13–8-0.0516%20 Oct →
dust213–10-0.028%14 Oct →
mirage14–16-0.1013%14 Oct →
anubis11–130.0210%14 Oct →
nuke15–15-0.0710%5 Oct →
nuke16–13-0.0517%5 Oct →
ancient6–13-0.063%5 Oct →
inferno13–110.037%3 Oct →
dust213–8-0.1015%3 Oct →
anubis10–13-0.0812%3 Oct →
dust210–130.029%2 Oct →
nuke10–13-0.009%2 Oct →
ancient6–13-0.089%1 Oct →
nuke3–13-0.076%1 Oct →
mirage13–6-0.0213%30 Sept →
nuke13–7-0.0013%30 Sept →
mirage13–70.015%30 Sept →
inferno15–15-0.043%28 Sept →
dust213–16-0.0325%28 Sept →
inferno11–130.0115%28 Sept →
inferno5–13-0.086%24 Sept →
inferno3–13-0.0811%21 Sept →
ancient13–11-0.015%19 Sept →
ancient5–13-0.0219%19 Sept →
anubis15–15-0.006%19 Sept →
inferno11–13-0.058%14 Sept →
nuke7–13-0.0115%14 Sept →
inferno10–13-0.049%12 Sept →
ancient13–60.0214%9 Sept →
anubis13–5-0.016%9 Sept →
nuke16–13-0.0610%8 Sept →
ancient13–60.0211%8 Sept →
inferno13–8-0.033%8 Sept →
nuke13–9-0.0210%6 Sept →
nuke6–13-0.044%6 Sept →
nuke10–130.029%5 Sept →
inferno13–2-0.0214%29 Aug →
inferno13–8-0.0412%28 Aug →
ancient16–14-0.033%28 Aug →
anubis4–13-0.039%26 Aug →
cache2–13-0.0615%26 Aug →
inferno9–13-0.042%26 Aug →
anubis11–13-0.056%25 Aug →
ancient11–0-0.0119%25 Aug →
nuke13–40.0120%25 Aug →
inferno11–13-0.086%25 Aug →
nuke13–6-0.059%21 Aug →
inferno13–11-0.0110%21 Aug →
nuke11–13-0.0614%21 Aug →
ancient13–40.0114%21 Aug →
inferno16–13-0.106%19 Aug →
nuke13–10-0.0512%18 Aug →
inferno9–00.0510%18 Aug →
ancient9–13-0.0418%17 Aug →
ancient9–13-0.037%17 Aug →
anubis10–130.059%17 Aug →
nuke13–10-0.0310%17 Aug →
inferno13–40.026%15 Aug →
inferno13–0-0.046%15 Aug →
anubis6–13-0.0613%14 Aug →
ancient10–13-0.046%14 Aug →
nuke15–150.016%14 Aug →
ancient4–13-0.093%13 Aug →
inferno11–13-0.0917%12 Aug →
inferno16–14-0.0414%11 Aug →
cache13–10-0.0310%11 Aug →
ancient10–13-0.085%11 Aug →
inferno13–110.016%10 Aug →
ancient6–13-0.0514%6 Aug →
ancient13–4-0.0511%3 Aug →
cache13–9-0.0226%3 Aug →
cache7–13-0.055%3 Aug →
ancient5–13-0.0610%2 Aug →
cache5–13-0.0717%2 Aug →
ancient4–13-0.0513%2 Aug →
anubis8–130.0110%1 Aug →
ancient10–13-0.0215%1 Aug →
anubis4–13-0.054%30 Jul →
ancient13–11-0.036%27 Jul →
cache15–15-0.0311%27 Jul →
ancient3–13-0.1116%27 Jul →
inferno13–40.0910%26 Jul →
inferno0–13-0.0814%26 Jul →
ancient5–13-0.0521%26 Jul →
anubis5–13-0.0113%25 Jul →
inferno10–13-0.0523%25 Jul →
ancient5–13-0.0510%23 Jul →
inferno13–8-0.0329%23 Jul →
ancient5–13-0.0412%23 Jul →
inferno12–16-0.0012%22 Jul →
anubis2–13-0.0922%22 Jul →
inferno14–160.0024%22 Jul →
anubis7–13-0.083%22 Jul →
nuke5–13-0.066%19 Jul →
anubis6–13-0.0410%19 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.