Gankcor

Gankcor — CS2 Stats

DE76561198060047577[U:1:99781849]Steam profile ↗✓ No bans

1,447Tracked matches50%Win rate2020Tracked since
4,215Hours in CS
CSDB Rating5.8 SolidPositional Player
Premier CS Rating20,997Top 50% of 212,133 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#69681 of 259059 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (2 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: 20,997 +2,817 1 Jul – 29 Oct · 23 days played
16,64222,714peak 22,7141 Jul29 Oct
23,071Peak Premier in tracked matches
33Days played since 2026-07-01

Premier CS Rating

  • 1,717 below peak (22,714)
  • +1,127 over 30 days · improving
  • +245 over 90 days
  • Next: Red band at 25,000 — 4,003 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate41.7%46.9%49.3%7.6% short
Shot accuracy17.3%13.0%13.4%above
Kill/death ratio0.971.081.120.16 short
Match win rate41.2%46.7%48.5%7.3% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGGankcorPREMIER20,997 · Pink 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

Aim67
Positioning66
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLLWLWWLLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −3.2pp headshot accuracy · −30ms 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 11%
  • Avg reaction 511ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 485ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 500ms

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).

Aim6.7
Utility6.3
Positioning6.6
Opening Duels4.3
Clutch3.6

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Counter-strafing. Only 60% 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

Aim6.7
Positioning6.6
Utility6.3
Mechanics2.3
Opening Duels6.0
Win Impact5.0

Composite 5.8/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time525ms−71ms
first ⅓ avg 596ms → last ⅓ avg 525ms
Headshot accuracy13.9%−3.5%
first ⅓ avg 17.3% → last ⅓ avg 13.9%

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

0.14Best match rating · 13–4 · ancient, 2 Oct →
50%Best headshot accuracy · 2–0 · inferno, 29 Sept →
375msFastest reaction time · 11–13 · anubis, 12 Oct →
13–1Biggest win · ancient, 28 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
9–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 62% over 21anubisWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
ancientA2213–959%0.02
infernoA2113–862%0.03
dust2B158–753%0.02
mirageC125–742%-0.00
anubisD112–918%0.00
cacheA106–460%0.02
nukeC83–538%-0.01
alpine—10–10%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

187,899Lifetime kills
0.97K/D
6,760Matches
41.2%Match win rate
41.7%Headshot %
17.3%Shot accuracy · Top 25% of Pink band
14,056MVPs
4,215Hours (in match)
4,890Bombs planted
1,650Bombs defused

Most-used weapons

AK-4748,865
AWP36,480
SSG 085,572
P2505,074
UMP-452,796

Lifetime map wins

13,405inferno
9,258dust2
2,393nuke
2,049cbble
1,897train
1,051vertigo
148office
148lake

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

Faceit stats

Combat

618Matches
53%Win rate
1.15Avg K/D
85.5ADR
31%Headshot %

Clutches & streaks

38%1v1 clutch win
31%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21856%1.1515.3
Inferno1867%1.4418.8
Ancient1662%1.3418.9
Anubis1250%1.1216.8
Nuke771%0.9215.1
Mirage617%1.0314.7
Cache683%1.0914.8
Vertigo333%1.0318.0

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.

13.3%Headshot accuracy
39.5%Accuracy (enemy spotted)
43.8%Spray accuracy
60.3%Counter-strafing
10.0°Preaim
526msReaction time
58.7%T opening success
49.2%CT opening success
0.63Enemies flashed / flash
2.9%Flash assists
9.90HE damage / grenade
13.00Flashes / 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 13.2948% — below the 15% 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0412%29 Oct →
ancient10–130.006%15 Oct →
ancient13–7-0.044%15 Oct →
inferno12–160.0410%14 Oct →
nuke13–100.0221%14 Oct →
inferno13–11-0.0014%14 Oct →
anubis6–130.0214%14 Oct →
anubis11–130.0011%12 Oct →
ancient8–13-0.0810%12 Oct →
nuke13–10-0.019%12 Oct →
dust213–110.0215%12 Oct →
anubis7–13-0.0316%12 Oct →
dust29–130.0117%12 Oct →
mirage5–130.0118%12 Oct →
ancient5–130.059%12 Oct →
ancient6–13-0.0332%12 Oct →
cache13–11-0.0114%12 Oct →
dust213–9-0.035%12 Oct →
inferno11–130.049%7 Oct →
ancient13–80.017%7 Oct →
mirage9–13-0.0115%7 Oct →
ancient7–13-0.0616%7 Oct →
ancient16–120.0411%7 Oct →
nuke13–7-0.0218%6 Oct →
dust213–110.0219%6 Oct →
ancient13–100.036%6 Oct →
mirage13–90.0318%6 Oct →
ancient9–130.0220%5 Oct →
mirage13–50.0918%5 Oct →
inferno13–100.0411%5 Oct →
nuke9–130.0318%2 Oct →
ancient13–40.1419%2 Oct →
cache13–30.1016%2 Oct →
anubis11–130.0412%1 Oct →
ancient11–130.1116%1 Oct →
ancient13–70.0311%1 Oct →
inferno13–90.0319%1 Oct →
ancient13–30.0317%1 Oct →
inferno2–00.0550%29 Sept →
mirage5–13-0.0012%28 Sept →
cache5–13-0.008%28 Sept →
inferno8–130.0520%28 Sept →
mirage16–14-0.0418%28 Sept →
ancient13–90.069%25 Sept →
cache8–130.0316%24 Sept →
anubis16–120.0615%24 Sept →
mirage13–100.0614%23 Sept →
dust213–70.0523%23 Sept →
nuke8–130.0121%23 Sept →
inferno13–40.039%23 Sept →
mirage13–11-0.0510%22 Sept →
cache13–2-0.0120%22 Sept →
inferno13–100.0625%21 Sept →
dust213–110.0022%21 Sept →
inferno8–13-0.0212%21 Sept →
mirage11–13-0.0216%21 Sept →
anubis13–40.079%20 Sept →
inferno8–13-0.0321%20 Sept →
ancient10–13-0.0210%20 Sept →
anubis11–130.0116%15 Sept →
mirage4–13-0.0614%1 Aug →
nuke10–13-0.0210%30 Jul →
cache9–130.029%30 Jul →
dust213–16-0.039%29 Jul →
inferno13–60.0414%29 Jul →
inferno13–20.068%29 Jul →
dust213–70.0514%29 Jul →
inferno16–130.0324%29 Jul →
anubis12–16-0.045%28 Jul →
dust211–130.1113%28 Jul →
cache8–130.0119%28 Jul →
ancient10–60.069%28 Jul →
inferno13–80.0427%28 Jul →
mirage3–13-0.0128%28 Jul →
ancient13–10.1012%28 Jul →
dust29–130.0325%26 Jul →
inferno13–90.0613%17 Jul →
inferno13–70.0216%17 Jul →
dust24–130.0218%16 Jul →
dust29–130.0115%15 Jul →
inferno10–130.0115%10 Jul →
cache13–20.1332%9 Jul →
inferno13–40.0724%9 Jul →
cache13–6-0.0021%9 Jul →
cache13–8-0.0333%6 Jul →
inferno6–13-0.0114%5 Jul →
alpine9–13-0.0811%5 Jul →
nuke7–13-0.0517%3 Jul →
ancient13–60.0325%3 Jul →
ancient13–70.0919%3 Jul →
nuke8–13-0.0114%3 Jul →
dust213–11-0.0112%3 Jul →
ancient13–8-0.0212%3 Jul →
dust213–80.0118%2 Jul →
inferno5–13-0.0221%2 Jul →
dust210–13-0.028%2 Jul →
ancient6–13-0.0314%2 Jul →
anubis14–16-0.0413%2 Jul →
anubis11–13-0.0314%1 Jul →
anubis6–13-0.0315%1 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.