Heckerpecker

Heckerpecker — CS2 Stats

RU76561198303422240[U:1:343156512]Steam profile ↗✓ No bans

803Tracked matches50%Win rate2020Tracked since
727Hours in CS
CSDB Rating3.5 Learning
Premier CS Rating12,738Blue band · top ~40.4% of ranked players (population est.)
CSDB Leaderboard#38156 of 57330 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=2,587), 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 5 medianLevel 6 medianvs Level 6
Headshot rate37.6%43.7%44.7%7.0% short
Shot accuracy11.0%11.8%12.1%1.1% short
Kill/death ratio0.991.021.040.05 short
Match win rate44.1%45.0%45.2%1.2% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHeckerpeckerFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,738 · Blue bandcsdb.gg/stats

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Performance scores

Aim24
Positioning41
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY47449Last 10047%Win rateLWTLWLWWWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim2.4
Aggression4.2
Utility6.7
Positioning4.1
Opening Duels0.6
Clutch3.2

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 75% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 43% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 695ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim2.4
Positioning4.1
Utility6.7
Mechanics3.4
Opening Duels1.6
Win Impact5.0

Composite 3.5/10 (Learning), 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 rating-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time697ms+32ms
first ⅓ avg 665ms → last ⅓ avg 697ms
Headshot accuracy18.5%+2.7%
first ⅓ avg 15.8% → last ⅓ avg 18.5%

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

0.08Best rating — overpass 13–9
131Biggest win — mirage
4Longest win streak
1112In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 89% over 9infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C1871139%-0.02
overpassB189950%-0.02
ancientC156940%-0.01
nukeB147750%-0.02
trainS98189%0.01
mirageC73443%-0.01
agencyS64267%0.00
infernoD51420%-0.04
vertigo31233%-0.03
grail21150%-0.01
anubis1010%-0.02
italy1010%0.01
office1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,926Lifetime kills
0.99K/D
1,951Matches
44.1%Match win rate
37.6%Headshot %
11.0%Shot accuracy
2,919MVPs
727Hours (in match)
2,034Bombs planted
525Bombs defused

Most-used weapons

Lifetime map wins

2,740inferno
1,655dust2
1,565nuke
1,500vertigo
531office
409train
114italy
107cbble

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

Faceit stats

Combat

63Matches
49%Win rate
1.10Avg K/D
64.5ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo1533%0.9613.7
Inferno862%1.1613.8
Mirage757%0.909.3
Anubis633%0.8513.5
Nuke450%0.659.3
Ancient367%0.938.7
Dust220%0.5211.5
Overpass2100%0.9811.5

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.

18.1%Headshot accuracy
24.0%Accuracy (enemy spotted)
27.9%Spray accuracy
65.1%Counter-strafing
10.5°Preaim
695msReaction time
22.1%T opening success
43.0%CT opening success
0.64Enemies flashed / flash
5.5%Flash assists
7.90HE damage / grenade
12.23Flashes / 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 22.1136% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0511%8 Oct
overpass13–30.0122%8 Oct
overpass12–120.0012%28 Sept
dust26–13-0.0320%28 Sept
dust213–80.0112%20 Sept
overpass8–13-0.0611%31 Aug
overpass13–11-0.0317%29 Aug
overpass13–11-0.0827%29 Aug
ancient13–8-0.0914%29 Aug
ancient11–13-0.0420%25 Aug
overpass11–13-0.0417%25 Aug
nuke11–13-0.0117%25 Aug
overpass13–7-0.0820%25 Aug
nuke13–11-0.0617%22 Aug
ancient11–13-0.0314%22 Aug
dust213–8-0.0112%22 Aug
ancient13–20.0527%22 Aug
inferno7–13-0.0414%21 Aug
train13–8-0.0226%21 Aug
overpass9–13-0.0820%21 Aug
ancient8–13-0.0116%21 Aug
train13–70.0218%21 Aug
anubis7–13-0.0215%21 Aug
overpass13–6-0.0318%19 Aug
nuke13–60.0019%17 Aug
dust213–6-0.0023%17 Aug
vertigo7–13-0.0650%15 Aug
italy12–120.0116%15 Aug
mirage11–13-0.0114%31 Jul
dust214–16-0.0312%28 Jul
train13–50.0229%27 Jul
ancient13–100.0016%27 Jul
dust213–11-0.0315%26 Jul
overpass13–90.0818%26 Jul
overpass11–130.019%25 Jul
train13–10-0.0021%25 Jul
overpass10–13-0.066%25 Jul
nuke13–50.0118%25 Jul
mirage13–60.0416%25 Jul
nuke13–6-0.0422%24 Jul
train13–110.0512%24 Jul
ancient7–130.0215%24 Jul
overpass13–5-0.0116%24 Jul
dust29–13-0.0714%24 Jul
inferno6–130.0022%24 Jul
nuke7–130.0317%24 Jul
overpass11–130.0020%23 Jul
inferno13–2-0.0511%22 Jul
ancient8–13-0.0027%21 Jul
dust213–11-0.0316%21 Jul
nuke7–13-0.069%19 Jul
nuke13–16-0.0119%19 Jul
train13–90.0225%19 Jul
overpass13–8-0.039%19 Jul
train13–11-0.0421%18 Jul
dust26–13-0.0329%18 Jul
nuke11–13-0.1014%18 Jul
overpass9–13-0.0116%18 Jul
overpass13–9-0.0120%18 Jul
overpass14–16-0.0318%17 Jul
ancient13–7-0.0513%17 Jul
nuke14–16-0.0419%16 Jul
dust213–7-0.0226%16 Jul
mirage9–13-0.0117%16 Jul
nuke13–4-0.0026%14 Jul
dust25–00.0518%14 Jul
vertigo13–30.0121%14 Jul
mirage13–10.0017%13 Jul
mirage15–15-0.0610%12 Jul
ancient13–10-0.0117%12 Jul
inferno2–8-0.090%12 Jul
dust27–13-0.0511%11 Jul
vertigo12–12-0.0313%11 Jul
mirage4–130.0026%8 Jul
dust210–13-0.0511%7 Jul
nuke13–11-0.0714%7 Jul
ancient11–13-0.0223%7 Jul
nuke5–130.0119%6 Jul
train13–40.0319%5 Jul
agency13–110.0622%5 Jul
office8–13-0.0411%5 Jul
grail8–00.025%5 Jul
ancient8–130.0218%4 Jul
dust213–16-0.055%4 Jul
agency8–13-0.0617%30 Jun
ancient10–13-0.0226%23 May
mirage13–11-0.0420%21 May
ancient13–100.0117%21 May
nuke13–110.0123%21 May
agency4–13-0.0025%16 May
agency13–4-0.0518%16 May
agency7–30.0016%16 May
train8–130.0123%14 May
agency13–10.0710%14 May
grail12–12-0.0311%14 May
ancient12–120.0011%27 Apr
dust212–120.008%27 Apr
inferno2–6-0.0023%27 Apr
dust212–120.0213%25 Apr
dust212–12-0.0022%25 Apr

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 →