Harald — CS2 Stats

76561199056638746[U:1:1096373018]

1,442Tracked matches52%Win rate2021Tracked since
1,231Hours in CS
CSDB Rating6.3 SolidAggressive Rifler
Premier CS Rating19,001Purple band · top ~12.5% of ranked players (population est.)
CSDB Leaderboard#23920 of 54698 tracked
WingmanLegendary Eagle Master
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 rate53.2%44.2%47.1%above
Shot accuracy9.4%11.6%12.8%3.4% short
Kill/death ratio1.431.031.08above
Match win rate39.3%45.2%46.6%7.4% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGHaraldPREMIER19,001 · Purple bandcsdb.gg/stats

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Performance scores

Aim86
Positioning54
Utility42

0–100 skill scores via Leetify.

Recent form

COLD48466Last 10048%Win rateTLLWLLWLLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.6
Aggression7.6
Utility4.2
Positioning5.4
Opening Duels3.6
Clutch2.4

Sharp aimerStrong CT-side openerLimited 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.

Your pro match

ropz

Plays most like ropz 91% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 61% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 557ms 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

Aim8.6
Positioning5.4
Utility4.2
Mechanics7.3
Opening Duels3.8
Win Impact5.6

Composite 6.3/10 (Solid), 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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time568ms−29ms
first ⅓ avg 597ms → last ⅓ avg 568ms
Headshot accuracy25.8%−1.5%
first ⅓ avg 27.3% → last ⅓ avg 25.8%

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

0.13Best rating — inferno 13–3
132Biggest win — inferno
9Longest win streak
118In matches decided by ≤2 rounds
13Overtime games

Map breakdown

vertigoBest map · 63% over 8infernoWeakest map · 46% over 26
MapGradePlayedRecordWin rateAvg rating
infernoB26121446%0.01
nukeA2011955%0.00
ancientB168850%-0.01
cacheB157847%-0.01
vertigoA85363%0.05
anubis41325%-0.04
dust232167%-0.01
overpass31233%0.03
office2020%-0.02
mirage2020%-0.04
train110100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (46% over 26). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,680Lifetime kills
1.43K/D · Top 10% of Purple band
3,471Matches
39.3%Match win rate
53.2%Headshot % · Top 25% of Purple band
9.4%Shot accuracy
7,429MVPs
1,231Hours (in match)
2,304Bombs planted
585Bombs defused

Most-used weapons

AK-4731,996
AWP14,273
Knife1,106
FAMAS1,071
MP91,055

Lifetime map wins

7,060inferno
3,571dust2
2,358nuke
2,280vertigo
731office
456train
166bank
121safehouse

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

Faceit stats

Combat

142Matches
54%Win rate
1.13Avg K/D
79.5ADR
51%Headshot %

Clutches & streaks

32%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3962%1.1717.1
Ancient2152%0.9516.9
Inferno2070%1.2516.3
Nuke1471%1.2116.9
Anubis1346%1.0516.1
Dust21233%1.2516.3
Vertigo1030%1.2118.2
Train850%1.0217.9

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.

26.8%Headshot accuracy
33.2%Accuracy (enemy spotted)
37.9%Spray accuracy
82.8%Counter-strafing
7.7°Preaim
557msReaction time
28.3%T opening success
60.5%CT opening success
0.48Enemies flashed / flash
7.4%Flash assists
8.50HE damage / grenade
4.77Flashes / 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 0.4795 — 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 28.2548% — 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.

46% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office12–120.0235%2 Aug
nuke5–130.0039%1 Aug
inferno7–9-0.0118%1 Aug
ancient19–16-0.0531%31 Jul
anubis5–13-0.1227%31 Jul
nuke8–13-0.0423%31 Jul
inferno13–10-0.0420%31 Jul
inferno11–130.0522%31 Jul
cache6–13-0.0729%30 Jul
nuke13–60.0733%30 Jul
dust213–9-0.0029%30 Jul
cache16–14-0.0321%30 Jul
inferno13–20.0335%30 Jul
inferno14–160.0133%30 Jul
inferno1–9-0.190%24 Jul
inferno9–13-0.0334%22 Jul
nuke6–13-0.0813%22 Jul
inferno9–20.1347%15 Jul
ancient5–130.0429%14 Jul
nuke13–30.0624%14 Jul
inferno7–9-0.0527%12 Jul
ancient13–10-0.047%12 Jul
cache4–13-0.0536%11 Jul
ancient10–13-0.0621%11 Jul
inferno4–130.0127%10 Jul
inferno16–140.0326%10 Jul
ancient16–14-0.0119%10 Jul
cache10–30.0313%10 Jul
vertigo9–60.0519%10 Jul
ancient8–130.0631%8 Jul
vertigo13–110.0834%8 Jul
nuke9–30.0027%8 Jul
cache7–130.0120%8 Jul
inferno13–80.0440%8 Jul
nuke9–4-0.1125%6 Jul
cache13–30.0230%6 Jul
inferno9–30.1363%6 Jul
office1–13-0.0560%6 Jul
vertigo12–120.0228%4 Jul
nuke13–11-0.0330%4 Jul
anubis13–11-0.0123%4 Jul
ancient13–100.0319%2 Jul
inferno7–13-0.0229%2 Jul
overpass11–130.0138%2 Jul
anubis6–130.0013%28 Jun
inferno16–120.0215%28 Jun
ancient9–130.0220%28 Jun
ancient15–15-0.0116%28 Jun
nuke6–90.0420%28 Jun
inferno13–40.0324%28 Jun
nuke16–130.0022%27 Jun
ancient13–6-0.0124%27 Jun
nuke13–20.0215%27 Jun
cache13–8-0.0017%27 Jun
vertigo13–30.1112%27 Jun
cache6–20.0436%27 Jun
nuke9–20.1229%27 Jun
vertigo9–70.0516%27 Jun
nuke7–13-0.0238%23 Jun
cache7–130.0323%23 Jun
inferno9–5-0.1316%23 Jun
vertigo9–30.1117%23 Jun
inferno13–30.1326%10 Jun
overpass13–110.0423%10 Jun
inferno7–130.0415%10 Jun
vertigo12–120.0326%9 Jun
cache8–13-0.060%7 Jun
inferno11–13-0.0120%7 Jun
inferno6–13-0.0218%7 Jun
nuke8–13-0.0325%7 Jun
anubis6–13-0.0218%6 Jun
nuke13–70.0514%6 Jun
overpass10–130.0326%6 Jun
inferno13–100.0339%6 Jun
ancient13–9-0.0022%6 Jun
mirage8–13-0.0236%5 Jun
inferno13–40.0640%5 Jun
dust216–140.0325%5 Jun
inferno13–160.0435%3 Jun
nuke13–50.0241%14 May
cache1–13-0.1144%14 May
cache7–130.0132%14 May
cache13–3-0.088%14 May
cache13–30.0720%14 May
vertigo12–12-0.0227%13 May
cache12–120.0321%13 May
inferno4–13-0.0023%12 Apr
ancient11–13-0.0330%12 Apr
nuke11–130.0939%2 Apr
ancient16–12-0.0130%1 Apr
nuke13–16-0.0325%1 Apr
nuke6–2-0.1029%1 Apr
mirage5–13-0.0612%6 Mar
ancient6–13-0.0636%10 Jan
ancient9–13-0.0341%10 Jan
dust25–13-0.0616%2 Jan
nuke10–13-0.0029%2 Jan
inferno2–13-0.0740%1 Jan
train13–11-0.0417%1 Jan
ancient16–14-0.0023%1 Jan

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 →