-=|Hoppsan|=-

-=|Hoppsan|=- — CS2 Stats

SE76561197977508914[U:1:17243186]Steam profile ↗✓ No bans

1,372Tracked matches40%Win rate2020Tracked since
CSDB Rating3.0 Learning
Premier CS Rating1,406Grey band · top ~94% of ranked players (population est.)
CSDB Leaderboard#46817 of 59541 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

Rating over time

1,406Peak Premier on CSDB
1Days observed since 2026-08-31

Premier CS Rating

  • At peak — 1,406
  • Next: Light Blue band at 5,000 3,594 to go

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GG-=|Hoppsan|=-FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER1,406 · Grey bandcsdb.gg/stats

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Performance scores

Aim31
Positioning33
Utility38

0–100 skill scores via Leetify.

Recent form

COLD4357Last 10043%Win rateLWLLWWLLLL

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim3.1
Aggression2.6
Utility3.8
Positioning3.3
Opening Duels0.0
Clutch5.0

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 65% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 38% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 725ms 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

Aim3.1
Positioning3.3
Utility3.8
Mechanics5.8
Opening Duels1.0
Win Impact1.7

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time729ms−31ms
first ⅓ avg 760ms → last ⅓ avg 729ms
Headshot accuracy13.3%+2.8%
first ⅓ avg 10.5% → last ⅓ avg 13.3%

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

0.07Best rating — cache 13–6
130Biggest win — inferno
5Longest win streak
88In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 80% over 5mirageWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
mirageD2061430%-0.03
infernoB189950%-0.04
cacheC167944%-0.03
nukeD1551033%-0.06
anubisC114736%-0.05
overpassC73443%-0.05
dust2S64267%-0.01
ancientS54180%-0.00
vertigo21150%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

24Matches
33%Win rate
0.78Avg K/D
70.2ADR
37%Headshot %

Clutches & streaks

45%1v1 clutch win
17%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.7313.0
Inferno520%0.7813.8
Anubis450%0.8012.0
Dust2450%0.9914.5
Ancient10%0.6210.0
Nuke1100%1.0912.0
Overpass1100%1.0027.0

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.

13.2%Headshot accuracy
30.9%Accuracy (enemy spotted)
29.5%Spray accuracy
75.9%Counter-strafing
11.5°Preaim
725msReaction time
18.9%T opening success
37.8%CT opening success
0.57Enemies flashed / flash
2.7%Flash assists
10.71HE damage / grenade
1.42Flashes / 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 13.2292% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 725.2096ms — above the 700ms mark we flag

    Aim Training
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.4224 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.063%29 Aug
cache13–9-0.077%29 Aug
mirage11–13-0.0517%29 Aug
mirage7–13-0.0510%27 Aug
inferno13–30.0014%27 Aug
anubis13–11-0.0625%27 Aug
cache10–13-0.0617%25 Aug
inferno8–13-0.0310%23 Aug
mirage10–13-0.068%23 Aug
nuke5–13-0.0515%23 Aug
nuke12–16-0.035%21 Aug
cache11–13-0.063%21 Aug
mirage17–19-0.0418%21 Aug
inferno4–13-0.0715%19 Aug
mirage10–13-0.0625%19 Aug
cache5–130.0013%19 Aug
nuke5–13-0.0312%11 Aug
inferno13–00.0211%9 Aug
anubis5–13-0.0513%9 Aug
cache13–5-0.0219%9 Aug
cache9–13-0.073%7 Aug
mirage13–3-0.0435%7 Aug
overpass13–8-0.0319%7 Aug
inferno2–13-0.0713%31 Jul
cache13–9-0.0111%31 Jul
vertigo13–10-0.077%31 Jul
inferno13–3-0.0711%31 Jul
ancient13–80.007%28 Jul
ancient13–9-0.0023%28 Jul
mirage8–130.0114%28 Jul
inferno13–70.0225%27 Jul
mirage7–13-0.064%27 Jul
cache6–130.018%27 Jul
mirage5–13-0.0016%26 Jul
mirage10–130.0217%26 Jul
nuke9–13-0.0611%25 Jul
mirage13–7-0.093%21 Jul
ancient13–5-0.0010%21 Jul
anubis5–13-0.037%21 Jul
mirage10–13-0.0311%21 Jul
inferno13–4-0.067%20 Jul
cache9–13-0.068%20 Jul
mirage5–13-0.0513%20 Jul
inferno13–6-0.048%20 Jul
nuke16–14-0.076%16 Jul
cache13–6-0.053%16 Jul
overpass13–10-0.0613%16 Jul
mirage8–130.0220%16 Jul
nuke16–13-0.067%16 Jul
dust213–6-0.0313%16 Jul
mirage13–1-0.037%15 Jul
inferno7–13-0.009%15 Jul
nuke1–13-0.1013%15 Jul
mirage13–110.0117%15 Jul
cache13–90.006%14 Jul
mirage13–11-0.0312%14 Jul
vertigo11–13-0.067%14 Jul
dust213–50.0726%14 Jul
dust26–13-0.059%12 Jul
mirage6–13-0.0420%12 Jul
anubis13–16-0.038%12 Jul
anubis13–70.0110%10 Jul
nuke4–13-0.127%10 Jul
mirage13–7-0.0514%10 Jul
anubis14–16-0.086%9 Jul
ancient8–13-0.0322%7 Jul
overpass8–13-0.097%7 Jul
inferno8–13-0.068%7 Jul
cache2–13-0.088%7 Jul
nuke6–13-0.0713%5 Jul
ancient13–100.0210%5 Jul
inferno13–5-0.0215%5 Jul
inferno4–13-0.0413%1 Jul
anubis11–13-0.065%1 Jul
overpass11–13-0.077%28 Jun
inferno13–7-0.0516%28 Jun
nuke9–13-0.075%25 Jun
inferno16–14-0.0513%25 Jun
inferno5–13-0.0113%23 Jun
dust23–13-0.0120%23 Jun
anubis13–11-0.078%23 Jun
dust213–9-0.0210%22 Jun
nuke13–100.0313%22 Jun
dust213–8-0.047%22 Jun
cache7–13-0.1111%21 Jun
overpass8–13-0.0318%21 Jun
inferno3–13-0.098%21 Jun
overpass9–13-0.076%16 Jun
cache10–13-0.020%16 Jun
nuke13–16-0.095%14 Jun
cache16–14-0.0211%14 Jun
nuke13–0-0.1113%14 Jun
nuke5–13-0.096%12 Jun
overpass13–3-0.0213%12 Jun
anubis5–13-0.119%12 Jun
cache13–60.0714%12 Jun
anubis16–13-0.0321%10 Jun
nuke13–11-0.044%10 Jun
anubis7–13-0.025%10 Jun
mirage9–13-0.0318%8 Jun

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 →