Old Gregg

Old Gregg — CS2 Stats

76561198113188242[U:1:152922514]Steam profile ↗

1,172Tracked matches45%Win rate2021Tracked since
1,208Hours in CS
CSDB Rating4.2 Developing
Premier CS Rating15,490Purple band · top ~26.4% of ranked players (population est.)
CSDB Leaderboard#30056 of 51269 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate36.3%44.2%47.1%10.8% short
Shot accuracy11.6%11.6%12.8%1.3% short
Kill/death ratio1.151.031.08above
Match win rate36.6%45.2%46.6%10.0% short

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

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

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CSDB.GGOld GreggPREMIER15,490 · Purple bandcsdb.gg/stats

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Performance scores

Aim46
Positioning45
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY56404Last 10056%Win rateWLWLLWWLLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Aim4.6
Aggression3.0
Utility5.0
Positioning4.5
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 74% 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

T-side openings. Opening success drops from 37% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim4.6
Positioning4.5
Utility5.0
Mechanics4.9
Opening Duels0.9
Win Impact3.3

Composite 4.2/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time596ms−19ms
first ⅓ avg 615ms → last ⅓ avg 596ms
Headshot accuracy15.8%+0.2%
first ⅓ avg 15.6% → last ⅓ avg 15.8%

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.

Highlights

0.29Best rating — vertigo 9–1
131Biggest win — nuke
5Longest win streak
98In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 78% over 18infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB29131645%-0.01
vertigoS1814478%0.08
nukeS118373%0.04
mirageC94544%0.00
dust2B84450%0.01
infernoC83538%0.01
ancientC73443%0.03
overpassA53260%-0.00
anubis330100%0.05
shelter1010%0.06
sanctum110100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,607Lifetime kills
1.15K/D · Top 25% of Purple band
3,248Matches
36.6%Match win rate
36.3%Headshot %
11.6%Shot accuracy
6,157MVPs
1,208Hours (in match)
2,169Bombs planted
759Bombs defused

Most-used weapons

AK-4710,567
AWP4,912
P2501,906
MAC-101,525
P901,516

Lifetime map wins

5,086vertigo
3,481dust2
2,357nuke
2,032inferno
378office
270train
63safehouse
47cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.3%Headshot accuracy
31.3%Accuracy (enemy spotted)
34.9%Spray accuracy
71.9%Counter-strafing
11.7°Preaim
601msReaction time
18.8%T opening success
36.8%CT opening success
0.58Enemies flashed / flash
9.1%Flash assists
8.44HE damage / grenade
8.11Flashes / 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

    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 18.8436% — below the 40% mark we flag

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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–80.0015%24 Jul
cache5–130.0417%24 Jul
dust213–90.0218%11 Jul
shelter11–130.0616%10 Jul
vertigo9–130.0411%10 Jul
cache13–3-0.079%2 Jul
mirage13–40.0618%1 Jul
dust25–13-0.0011%1 Jul
dust27–130.0413%29 Jun
nuke5–13-0.0220%29 Jun
inferno5–130.0019%29 Jun
mirage13–30.0410%28 Jun
anubis11–00.0213%28 Jun
ancient6–130.0319%28 Jun
overpass1–13-0.0919%28 Jun
cache4–13-0.069%28 Jun
nuke13–70.0217%28 Jun
cache13–11-0.0116%28 Jun
inferno11–13-0.0315%27 Jun
inferno8–13-0.0412%26 Jun
inferno13–3-0.0130%26 Jun
mirage12–12-0.0013%26 Jun
dust24–8-0.0415%26 Jun
mirage11–130.0113%21 Jun
nuke13–10.0219%21 Jun
overpass5–13-0.0417%20 Jun
mirage4–13-0.0420%20 Jun
dust213–80.0518%19 Jun
anubis13–90.079%19 Jun
dust27–0-0.0211%19 Jun
mirage13–90.0219%18 Jun
inferno6–130.0115%18 Jun
vertigo9–70.0227%16 Jun
mirage3–13-0.0815%14 Jun
ancient8–130.0110%14 Jun
inferno13–60.0414%14 Jun
cache13–4-0.028%14 Jun
mirage13–60.0314%14 Jun
vertigo11–130.0414%14 Jun
nuke13–40.0814%14 Jun
ancient11–130.0813%11 Jun
vertigo9–20.2011%11 Jun
nuke13–80.1113%9 Jun
inferno13–160.0723%8 Jun
inferno13–110.0720%7 Jun
overpass13–110.0721%6 Jun
vertigo9–10.2917%6 Jun
vertigo10–13-0.069%6 Jun
nuke16–140.0711%6 Jun
ancient13–5-0.016%6 Jun
dust213–10-0.0115%4 Jun
mirage2–13-0.0213%4 Jun
dust212–120.0612%2 Jun
cache7–13-0.045%2 Jun
ancient13–30.039%2 Jun
cache9–13-0.0616%2 Jun
vertigo10–20.1316%1 Jun
ancient13–70.0513%1 Jun
anubis13–50.0820%30 May
cache13–30.0521%30 May
cache8–13-0.0411%29 May
vertigo9–40.1618%28 May
ancient14–160.0314%28 May
cache13–50.0417%27 May
vertigo9–30.1213%26 May
vertigo9–40.2310%26 May
nuke13–30.1818%22 May
cache4–13-0.0429%22 May
nuke13–80.0414%22 May
cache11–13-0.0215%21 May
sanctum9–40.1117%21 May
vertigo9–70.1110%21 May
vertigo13–30.069%21 May
overpass13–70.0318%21 May
vertigo9–70.0326%21 May
cache11–13-0.009%19 May
vertigo13–11-0.0319%18 May
cache1–7-0.0213%16 May
cache2–13-0.0319%15 May
nuke3–13-0.0715%14 May
vertigo7–13-0.0315%14 May
cache13–90.019%14 May
cache9–13-0.0312%14 May
cache12–12-0.0311%13 May
cache13–5-0.0414%12 May
cache13–110.0914%12 May
cache7–13-0.0210%12 May
vertigo9–50.1411%12 May
nuke13–10.0717%9 May
overpass13–70.0318%9 May
cache8–13-0.0420%9 May
cache13–90.0112%5 May
cache13–90.0813%3 May
cache12–120.0117%3 May
cache13–80.0128%3 May
nuke3–13-0.0224%3 May
cache13–7-0.0317%3 May
vertigo13–70.0515%2 May
cache6–13-0.0318%2 May
cache13–90.0111%1 May

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 →