Greg Heffley

Greg Heffley — CS2 Stats

ZW76561199047385089[U:1:1087119361]Steam profile ↗✓ No bans

470Tracked matches48%Win rate2023Tracked since
259Hours in CS
CSDB Rating5.0 DevelopingSupport
Premier CS Rating14,884Blue band · top ~29% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (19 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: 14,884 +2,106 26 Aug – 27 Oct · 32 days played
11,87116,626peak 16,62626 Aug27 Oct
16,626Peak Premier in tracked matches
31Days played since 2026-08-26

Premier CS Rating

  • 1,742 below peak (16,626)
  • +3,013 over 30 days · improving
  • Next: Purple band at 15,000 — 116 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-07
  • Light Blue band first seen 2026-09-07

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 Blue band among CSDB-tracked players (n=23,968), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate54.6%42.0%44.4%above
Shot accuracy0.8%9.7%11.8%11.0% short
Kill/death ratio0.930.981.030.11 short
Match win rate43.3%43.8%45.3%1.9% short

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

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

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CSDB.GGGreg HeffleyPREMIER14,884 · Blue bandcsdb.gg/stats

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Performance scores

Aim63
Positioning47
Utility52

0–100 skill scores via Leetify.

Recent form

COLD54–44–2Last 10054%Win rateLLWLWLLWLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.7pp headshot accuracy · +25ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 620ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 637ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 624ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim6.3
Utility5.2
Positioning4.7
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.

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 81% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 615ms 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

Aim6.3
Positioning4.7
Utility5.2
Mechanics7.7
Opening Duels1.1
Win Impact4.4

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time611ms−1ms
first ⅓ avg 612ms → last ⅓ avg 611ms
Headshot accuracy18.1%−0.7%
first ⅓ avg 18.9% → last ⅓ avg 18.1%

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 · 9–7 · inferno, 28 Aug →
41%Best headshot accuracy · 13–8 · cache, 27 Oct →
469msFastest reaction time · 9–13 · inferno, 7 Oct →
13–1Biggest win · dust2, 13 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
13–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2614–1254%0.01
mirageB1910–953%0.00
nukeA1610–663%0.02
ancientB157–847%-0.01
infernoC94–544%0.02
cacheB84–450%0.01
anubisS75–271%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,904Lifetime kills
0.93K/D
979Matches
43.3%Match win rate
54.6%Headshot % · Top 10% of Blue band
0.8%Shot accuracy
2,615MVPs
259Hours (in match)
1,144Bombs planted
139Bombs defused

Most-used weapons

Lifetime map wins

1,818nuke
1,095inferno
766dust2
482vertigo
224train
78office
20italy
3ar_shoots

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

Faceit stats

Combat

1Matches
100%Win rate
0.44Avg K/D
—ADR
75%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

17.6%Headshot accuracy
34.4%Accuracy (enemy spotted)
31.9%Spray accuracy
84.8%Counter-strafing
10.7°Preaim
615msReaction time
34.0%T opening success
34.9%CT opening success
0.56Enemies flashed / flash
4.6%Flash assists
7.89HE damage / grenade
12.86Flashes / 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 33.9564% — 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–130.0215%27 Oct →
ancient2–13-0.0313%27 Oct →
dust213–60.0526%27 Oct →
ancient11–13-0.077%27 Oct →
cache13–8-0.0141%27 Oct →
cache9–130.0212%27 Oct →
nuke7–13-0.0419%22 Oct →
mirage13–110.0422%22 Oct →
cache11–13-0.0716%21 Oct →
anubis6–13-0.0610%20 Oct →
mirage13–90.0020%20 Oct →
ancient14–16-0.059%19 Oct →
nuke13–160.0417%15 Oct →
mirage13–110.0621%15 Oct →
mirage13–9-0.056%14 Oct →
mirage9–13-0.0523%14 Oct →
cache2–50.1038%14 Oct →
dust214–160.0421%14 Oct →
ancient15–150.0014%13 Oct →
dust213–1-0.0220%13 Oct →
dust26–13-0.0816%13 Oct →
dust213–50.1024%13 Oct →
cache13–10-0.0221%13 Oct →
inferno1–13-0.0311%11 Oct →
nuke13–100.0415%9 Oct →
nuke13–100.0315%8 Oct →
ancient13–50.0616%8 Oct →
inferno9–13-0.0124%7 Oct →
dust213–110.0418%7 Oct →
cache13–70.0814%7 Oct →
nuke10–10.0820%7 Oct →
ancient13–70.0416%7 Oct →
nuke16–140.0419%7 Oct →
inferno10–13-0.0417%6 Oct →
anubis13–110.057%6 Oct →
dust23–13-0.0526%6 Oct →
dust213–10-0.0313%6 Oct →
dust211–13-0.0231%5 Oct →
nuke13–7-0.0119%5 Oct →
ancient15–150.0413%5 Oct →
anubis13–70.026%5 Oct →
ancient13–11-0.015%29 Sept →
anubis13–70.0119%29 Sept →
mirage13–60.0126%29 Sept →
inferno13–110.0215%29 Sept →
inferno10–130.0217%28 Sept →
dust213–80.0613%28 Sept →
cache11–13-0.028%24 Sept →
dust24–13-0.0538%23 Sept →
nuke11–130.0616%23 Sept →
dust213–90.0427%22 Sept →
dust213–50.0922%22 Sept →
anubis13–4-0.0229%22 Sept →
dust27–13-0.0714%22 Sept →
ancient11–13-0.0524%22 Sept →
nuke9–60.0517%22 Sept →
mirage9–13-0.0316%21 Sept →
mirage9–130.0221%21 Sept →
dust26–13-0.0225%21 Sept →
mirage10–13-0.0016%21 Sept →
nuke13–11-0.0415%20 Sept →
mirage13–5-0.0315%20 Sept →
dust213–5-0.0125%20 Sept →
mirage13–80.0814%20 Sept →
nuke4–13-0.0826%20 Sept →
inferno6–13-0.0122%20 Sept →
dust210–130.0313%17 Sept →
ancient13–50.0218%17 Sept →
dust214–16-0.0224%17 Sept →
cache13–3-0.0025%17 Sept →
mirage8–13-0.0220%16 Sept →
dust24–130.0025%16 Sept →
nuke5–13-0.0217%15 Sept →
ancient9–1-0.050%15 Sept →
nuke13–40.0221%15 Sept →
mirage13–30.0419%15 Sept →
mirage13–1-0.0110%15 Sept →
ancient16–12-0.0416%9 Sept →
ancient11–13-0.0522%9 Sept →
inferno13–110.0730%9 Sept →
mirage6–130.0828%8 Sept →
dust213–8-0.0322%2 Sept →
dust213–70.0517%2 Sept →
dust213–40.1022%2 Sept →
ancient3–130.0112%29 Aug →
dust29–13-0.0423%29 Aug →
nuke9–60.0612%29 Aug →
ancient13–7-0.0018%28 Aug →
mirage11–13-0.0021%28 Aug →
inferno9–70.1636%28 Aug →
nuke6–130.0310%28 Aug →
dust213–10.0911%28 Aug →
mirage4–13-0.0314%28 Aug →
anubis1–13-0.0211%27 Aug →
inferno9–7-0.0310%27 Aug →
mirage3–13-0.0415%27 Aug →
dust213–110.0015%27 Aug →
anubis13–11-0.0125%27 Aug →
nuke16–130.0324%26 Aug →
mirage13–60.0331%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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