Hippe — CS2 Stats

76561198169720155[U:1:209454427]

1,185Tracked matches38%Win rate2020Tracked since
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating16,981Purple band · top ~20.5% of ranked players (population est.)
CSDB Leaderboard#8186 of 13925 tracked
FaceitLevel 5 · 1,078 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGHippeFACEITLevel 5 · 1,078 ELOSTANDINGTop 67.6% of rankedPREMIER16,981 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning45
Utility59

0–100 skill scores via Leetify.

Recent form

COLD38539Last 10038%Win rateLWLLLLLWLL

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.5
Aggression4.7
Utility5.9
Positioning4.5
Opening Duels1.3
Clutch2.4

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 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Reaction time. 653ms 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

Aim7.5
Positioning4.5
Utility5.9
Mechanics7.5
Opening Duels1.3
Win Impact1.0

Composite 5.4/10 (Developing), 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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time640ms−26ms
first ⅓ avg 666ms → last ⅓ avg 640ms
Headshot accuracy18.9%+0.2%
first ⅓ avg 18.7% → last ⅓ avg 18.9%

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

0.16Best rating — cache 13–1
130Biggest win — mirage
4Longest win streak
47In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 55% over 11infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageC2081240%0.01
dust2D1751229%0.01
infernoD1641225%-0.04
ancientC146843%-0.02
cacheC125742%0.03
nukeA116555%0.04
anubis42250%0.01
overpass42250%-0.05
vertigo1010%-0.08
train1010%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

231Matches
51%Win rate
1.12Avg K/D
81.5ADR
42%Headshot %

Clutches & streaks

32%1v1 clutch win
29%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4060%1.1114.6
Dust23853%1.1216.0
Inferno3047%1.0816.2
Ancient2133%1.0815.9
Nuke1753%1.2116.9
Anubis1553%1.1514.3
Train633%1.0416.2
Overpass450%1.2710.5

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.

19.4%Headshot accuracy
39.1%Accuracy (enemy spotted)
36.9%Spray accuracy
83.8%Counter-strafing
9.8°Preaim
653msReaction time
30.3%T opening success
40.3%CT opening success
0.66Enemies flashed / flash
10.9%Flash assists
7.67HE damage / grenade
6.71Flashes / 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 30.2649% — 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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke7–130.0230%18 Aug
ancient13–90.0523%15 Aug
inferno1–130.0322%14 Aug
dust211–130.0426%5 Aug
inferno3–9-0.228%3 Aug
dust211–130.0420%31 Jul
dust26–130.0213%31 Jul
inferno13–6-0.0214%29 Jul
cache9–13-0.0414%28 Jul
inferno9–13-0.0018%28 Jul
dust213–110.0224%28 Jul
nuke13–90.0823%26 Jul
cache13–30.0618%26 Jul
nuke11–130.0520%26 Jul
mirage9–13-0.0216%23 Jul
inferno13–80.0217%23 Jul
mirage6–13-0.0321%22 Jul
inferno3–00.050%22 Jul
nuke13–90.0214%22 Jul
dust23–100.1021%22 Jul
ancient9–130.0118%21 Jul
ancient16–120.1117%21 Jul
dust25–13-0.0323%19 Jul
mirage8–13-0.0917%19 Jul
inferno13–90.059%19 Jul
ancient5–130.0232%19 Jul
ancient13–9-0.0713%18 Jul
mirage15–15-0.0219%18 Jul
nuke9–130.0122%18 Jul
dust25–130.0026%17 Jul
mirage7–13-0.0119%17 Jul
dust210–130.0211%17 Jul
dust213–6-0.0434%16 Jul
mirage10–13-0.0115%16 Jul
mirage7–13-0.0110%14 Jul
anubis13–110.0716%14 Jul
ancient13–10-0.075%14 Jul
ancient13–50.0225%12 Jul
ancient1–8-0.0621%12 Jul
cache12–16-0.0022%12 Jul
overpass3–9-0.098%9 Jul
inferno5–9-0.1813%9 Jul
cache8–130.0117%6 Jul
inferno3–13-0.1215%6 Jul
dust211–130.0317%6 Jul
inferno8–8-0.1017%5 Jul
overpass3–9-0.1418%5 Jul
inferno8–8-0.0316%5 Jul
nuke7–90.0522%5 Jul
dust25–13-0.0725%3 Jul
mirage13–00.0017%1 Jul
overpass13–90.0227%29 Jun
anubis12–120.0212%25 Jun
vertigo12–12-0.0817%25 Jun
cache13–70.0732%24 Jun
cache8–130.0232%24 Jun
ancient4–13-0.0525%24 Jun
mirage13–7-0.0510%21 Jun
anubis13–0-0.010%10 Jun
inferno9–13-0.0029%5 Jun
mirage13–70.0319%3 Jun
nuke7–130.0323%2 Jun
dust213–16-0.0415%30 May
inferno10–13-0.0519%28 May
train8–130.0315%26 May
mirage10–130.0227%26 May
ancient7–13-0.0722%26 May
cache13–60.0018%26 May
mirage7–13-0.0128%24 May
nuke13–9-0.0117%24 May
mirage11–130.0820%24 May
mirage13–70.1014%24 May
nuke9–7-0.0421%23 May
inferno8–8-0.0416%23 May
inferno8–80.0818%22 May
mirage10–130.0721%22 May
cache9–13-0.0119%19 May
ancient9–13-0.0122%18 May
nuke6–20.0514%18 May
cache13–50.1327%18 May
dust213–80.0420%18 May
nuke13–80.1515%17 May
cache12–12-0.0020%17 May
mirage13–60.0926%17 May
dust213–10-0.0628%16 May
ancient11–13-0.0529%14 May
ancient8–13-0.0714%14 May
mirage16–140.0111%14 May
ancient13–70.0120%14 May
inferno6–13-0.0521%13 May
dust27–13-0.0123%13 May
dust213–00.1118%13 May
anubis1–13-0.0510%13 May
dust27–130.0719%12 May
overpass13–90.0314%12 May
cache9–13-0.0524%12 May
mirage13–90.0212%12 May
mirage13–4-0.024%12 May
mirage12–120.1019%10 May
cache13–10.1618%10 May

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 →