OpperHond — CS2 Stats

76561198130991071[U:1:170725343]

1,483Tracked matches57%Win rate2020Tracked since
3,142Hours in CS17Hrs last 2 wks
CSDB Rating4.0 Developing
Premier CS Rating13,735Blue band · top ~35.1% of ranked players (population est.)
CSDB Leaderboard#34173 of 53181 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 rate35.1%41.4%44.2%9.1% short
Shot accuracy11.7%9.0%11.6%meets
Kill/death ratio0.970.971.030.06 short
Match win rate45.4%43.7%45.2%meets

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

Widest gap: Headshot rate. 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.

Share this profile

CSDB.GGOpperHondPREMIER13,735 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning37
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY48466Last 10048%Win rateWWLLWWLWWL

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

Player DNA

Aim4.6
Aggression4.2
Utility4.8
Positioning3.7
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.

Your pro match

NiKo

Plays most like NiKo 74% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Reaction time. 551ms 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
Positioning3.7
Utility4.8
Mechanics4.6
Opening Duels0.0
Win Impact7.2

Composite 4.0/10 (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 rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time563ms−36ms
first ⅓ avg 599ms → last ⅓ avg 563ms
Headshot accuracy11.7%−2.2%
first ⅓ avg 14.0% → last ⅓ avg 11.7%

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 — ancient 13–4
130Biggest win — cache
8Longest win streak
W2Current streak
43In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 55% over 11nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB36191753%-0.01
infernoB20101050%-0.01
cacheB126650%-0.00
ancientA116555%0.01
nukeD93633%-0.00
anubisC83538%-0.03
vertigo3030%-0.02
dust2110100%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,007Lifetime kills
0.97K/D
4,611Matches
45.4%Match win rate · Top 50% of Blue band
35.1%Headshot %
11.7%Shot accuracy · Top 50% of Blue band
9,679MVPs
1,675Hours (in match)
6,030Bombs planted
955Bombs defused

Most-used weapons

AK-4721,235
P904,936
AWP4,505
XM10144,251
AUG2,107
MAC-101,814

Lifetime map wins

10,023inferno
2,784nuke
2,392vertigo
2,165train
2,031dust2
530lake
460cbble
289office

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

Faceit stats

Combat

7Matches
29%Win rate
1.52Avg K/D
ADR
38%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLLWL

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.

11.9%Headshot accuracy
30.2%Accuracy (enemy spotted)
34.1%Spray accuracy
70.9%Counter-strafing
10.8°Preaim
551msReaction time
29.9%T opening success
30.3%CT opening success
0.46Enemies flashed / flash
3.2%Flash assists
10.96HE damage / grenade
6.65Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.9478% — below the 15% mark we flag

    Aim Training
  2. 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 0.4609 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 29.8653% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–90.0514%29 Aug
inferno13–10-0.0310%29 Aug
mirage5–13-0.038%29 Aug
mirage9–130.0124%28 Aug
mirage13–10-0.0317%28 Aug
mirage16–13-0.0413%24 Aug
inferno7–130.0312%22 Aug
nuke13–20.1120%22 Aug
inferno13–30.0511%22 Aug
mirage7–13-0.0115%22 Aug
mirage12–160.0312%20 Aug
mirage12–16-0.034%20 Aug
mirage11–13-0.0414%20 Aug
anubis13–50.024%19 Aug
cache13–00.0310%19 Aug
anubis13–11-0.034%19 Aug
mirage13–110.0112%19 Aug
mirage13–80.0311%18 Aug
ancient5–130.026%18 Aug
inferno13–80.049%18 Aug
inferno13–100.018%18 Aug
anubis2–13-0.0518%18 Aug
mirage13–2-0.025%17 Aug
ancient8–13-0.039%17 Aug
mirage13–90.028%17 Aug
cache13–80.1015%16 Aug
inferno10–130.0423%16 Aug
ancient9–13-0.0420%16 Aug
mirage10–13-0.0612%16 Aug
inferno13–60.0112%16 Aug
mirage10–130.0611%14 Aug
mirage3–13-0.079%14 Aug
inferno11–13-0.0310%14 Aug
inferno5–13-0.119%14 Aug
cache9–13-0.0319%14 Aug
ancient7–130.0116%14 Aug
ancient13–100.0021%4 Aug
mirage13–10-0.0428%4 Aug
inferno13–160.0313%4 Aug
nuke5–13-0.0821%4 Aug
mirage13–4-0.0316%4 Aug
mirage13–40.0415%4 Aug
inferno13–100.0114%4 Aug
ancient13–50.0215%4 Aug
mirage13–40.019%4 Aug
inferno10–13-0.1015%3 Aug
cache13–80.0219%3 Aug
inferno10–13-0.0314%3 Aug
nuke0–13-0.050%2 Aug
cache13–30.0815%2 Aug
vertigo12–12-0.0310%2 Aug
mirage13–7-0.0616%1 Aug
anubis4–13-0.0511%1 Aug
mirage11–13-0.063%1 Aug
inferno13–100.004%1 Aug
cache5–13-0.074%31 Jul
cache9–13-0.035%31 Jul
inferno10–130.018%31 Jul
mirage7–13-0.088%31 Jul
mirage13–90.0212%31 Jul
cache12–12-0.0412%30 Jul
vertigo2–13-0.0721%30 Jul
mirage13–10-0.038%30 Jul
inferno7–13-0.026%30 Jul
nuke3–13-0.113%30 Jul
cache12–120.0012%29 Jul
mirage13–70.0317%28 Jul
cache13–50.0111%28 Jul
mirage15–150.028%28 Jul
mirage13–40.1017%28 Jul
mirage4–13-0.0419%27 Jul
nuke12–12-0.0210%27 Jul
vertigo12–120.0512%27 Jul
cache13–8-0.0316%27 Jul
anubis5–13-0.0525%27 Jul
mirage13–90.0011%27 Jul
ancient13–11-0.0312%27 Jul
mirage13–160.0122%27 Jul
mirage4–13-0.096%27 Jul
mirage7–130.0717%27 Jul
inferno13–70.0113%26 Jul
inferno10–13-0.0812%26 Jul
inferno13–8-0.0212%26 Jul
anubis9–13-0.0914%25 Jul
ancient13–9-0.0211%25 Jul
ancient13–40.1315%25 Jul
mirage16–14-0.029%25 Jul
nuke13–100.0410%25 Jul
dust213–100.0616%24 Jul
anubis13–100.049%24 Jul
nuke13–60.0026%23 Jul
mirage13–90.0418%22 Jul
ancient7–130.0115%22 Jul
mirage13–80.0117%22 Jul
anubis5–13-0.0612%21 Jul
mirage8–13-0.049%21 Jul
inferno13–9-0.0510%20 Jul
cache8–13-0.0426%20 Jul
nuke9–130.0511%20 Jul
nuke9–130.0314%20 Jul

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 →