Geddy

Geddy — CS2 Stats

76561198262981219[U:1:302715491]Steam profile ↗✓ No bans

906Tracked matches37%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPositional Player
CSDB Leaderboard#94718 of 247973 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,967 +276 22 Dec – 6 Jul · 28 days played
17,03022,208peak 22,20822 Dec6 Jul
22,208Peak Premier in tracked matches
49Days played since 2025-12-21

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

Performance scores

Aim68
Positioning51
Utility32

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateWLLLWLWLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +2.2pp headshot accuracy · −38ms 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 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 602ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 589ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 608ms

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 (+1.3 against its own average).

Aim6.8
Utility3.2
Positioning5.1
Opening Duels3.2

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

iM

Plays most like iM 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 626ms 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

Aim6.8
Positioning5.1
Utility3.2
Mechanics8.0
Opening Duels2.3
Win Impact0.6

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time631ms−35ms
first ⅓ avg 666ms → last ⅓ avg 631ms
Headshot accuracy16.1%+2.2%
first ⅓ avg 13.8% → last ⅓ avg 16.1%

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

0.16Best match rating · 5–0 · dust2, 28 Dec →
37%Best headshot accuracy · 9–4 · poseidon, 12 Feb →
406msFastest reaction time · 2–9 · inferno, 12 Feb →
13–3Biggest win · dust2, 8 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

officeBest map · 80% over 5anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C2712–1544%0.00
infernoC156–940%-0.01
nukeC145–936%-0.03
ancientC125–742%-0.01
anubisD72–529%-0.03
overpassD72–529%-0.02
vertigoC52–340%-0.04
officeS54–180%-0.00
cache—30–30%-0.01
mirage—21–150%-0.02
warden—10–10%-0.07
poseidon—11–0100%0.12
train—11–0100%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis 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.

16.4%Headshot accuracy
34.4%Accuracy (enemy spotted)
35.7%Spray accuracy
86.1%Counter-strafing
9.8°Preaim
626msReaction time
38.9%T opening success
39.1%CT opening success
0.46Enemies flashed / flash
8.6%Flash assists
10.50HE damage / grenade
1.18Flashes / 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 0.4615 — 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 38.9254% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo9–50.0117%28 Sept →
nuke4–13-0.0224%20 Sept →
cache14–160.0112%4 Sept →
inferno6–130.0220%31 Aug →
dust216–140.0129%31 Aug →
dust25–13-0.0816%25 Aug →
mirage13–10-0.0215%6 Jul →
warden3–13-0.0714%12 Jun →
dust21–13-0.0419%9 Jun →
anubis6–13-0.0222%30 May →
overpass6–130.0119%21 May →
ancient7–13-0.085%21 May →
inferno2–13-0.0514%21 May →
anubis14–16-0.0221%18 May →
overpass13–9-0.0124%15 May →
inferno13–100.019%15 May →
cache11–130.0213%15 May →
dust214–16-0.0424%13 May →
dust213–80.0917%13 May →
dust27–13-0.0319%9 May →
anubis13–110.0111%8 May →
dust213–90.0112%8 May →
inferno7–00.017%8 May →
ancient8–13-0.0122%8 May →
cache8–13-0.0514%4 May →
dust22–13-0.0725%31 Mar →
overpass4–90.0012%28 Mar →
vertigo13–10-0.0316%28 Mar →
nuke8–80.0314%26 Mar →
office13–60.0411%22 Mar →
nuke9–5-0.027%13 Mar →
dust24–13-0.0411%13 Mar →
dust213–30.0815%8 Mar →
inferno6–13-0.060%1 Mar →
nuke1–9-0.170%1 Mar →
nuke8–8-0.0218%1 Mar →
dust27–13-0.0416%28 Feb →
dust213–160.0817%23 Feb →
dust26–13-0.0216%23 Feb →
nuke8–13-0.0117%22 Feb →
inferno7–13-0.0714%22 Feb →
inferno12–120.0615%22 Feb →
anubis9–13-0.097%22 Feb →
dust212–16-0.0717%22 Feb →
anubis4–13-0.0113%19 Feb →
dust213–80.0617%18 Feb →
ancient13–50.1014%18 Feb →
nuke6–13-0.0414%17 Feb →
dust212–16-0.0422%17 Feb →
ancient13–11-0.0114%17 Feb →
overpass14–16-0.0120%17 Feb →
poseidon9–40.1237%12 Feb →
vertigo2–9-0.2110%12 Feb →
inferno2–9-0.0721%12 Feb →
office13–7-0.0129%12 Feb →
dust213–6-0.0315%12 Feb →
inferno16–12-0.0421%12 Feb →
dust24–130.0021%12 Feb →
mirage5–13-0.0223%10 Feb →
dust210–130.0121%10 Feb →
anubis16–12-0.0314%10 Feb →
inferno13–110.0020%7 Feb →
inferno13–50.0929%5 Feb →
dust213–30.1020%5 Feb →
nuke13–7-0.0111%3 Feb →
ancient11–13-0.0025%25 Jan →
nuke13–10-0.0321%23 Jan →
ancient13–60.0216%23 Jan →
anubis4–13-0.0611%22 Jan →
dust213–70.0320%22 Jan →
train13–60.0514%17 Jan →
ancient6–13-0.0413%17 Jan →
nuke10–130.0110%14 Jan →
dust213–3-0.029%14 Jan →
office13–10-0.0512%12 Jan →
office13–10-0.0115%12 Jan →
overpass10–13-0.0212%3 Jan →
inferno13–40.0310%3 Jan →
ancient6–13-0.018%3 Jan →
nuke13–10-0.028%3 Jan →
ancient8–130.0216%3 Jan →
dust210–13-0.028%3 Jan →
inferno3–13-0.0530%1 Jan →
nuke9–13-0.076%30 Dec →
overpass2–13-0.0416%29 Dec →
dust213–50.0329%29 Dec →
inferno8–130.0115%29 Dec →
ancient13–8-0.0415%29 Dec →
overpass13–7-0.0317%28 Dec →
inferno6–130.0314%28 Dec →
dust25–00.1625%28 Dec →
ancient2–13-0.0511%28 Dec →
nuke13–11-0.0214%27 Dec →
dust29–13-0.0118%27 Dec →
ancient16–14-0.028%23 Dec →
office11–130.0110%23 Dec →
vertigo11–130.0619%23 Dec →
dust213–10-0.019%22 Dec →
vertigo2–13-0.0313%21 Dec →
nuke4–130.0210%21 Dec →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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