Hippo

Hippo — CS2 Stats

76561198210060196[U:1:249794468]Steam profile ↗✓ No bans

540Tracked matches24%Win rate2020Tracked since
2,413Hours in CS18Hrs last 2 wks
CSDB Rating4.3 DevelopingClutch Specialist
Premier CS Rating13,591Blue band · top ~35.9% of ranked players (population est.)
CSDB Leaderboard#18369 of 27469 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 rate52.9%41.7%44.1%above
Shot accuracy15.5%8.8%11.4%above
Kill/death ratio1.300.971.03above
Match win rate42.4%43.8%45.2%2.8% short

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Match win 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.

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CSDB.GGHippoPREMIER13,591 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning47
Utility39

0–100 skill scores via Leetify.

Recent form

COLD40546Last 10040%Win rateLLLLLWLWLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim5.9
Aggression6.3
Utility3.9
Positioning4.7
Opening Duels2.5
Clutch9.4

Reliable in 1v1s

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

Twistzz

Plays most like Twistzz 84% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 665ms 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

Aim5.9
Positioning4.7
Utility3.9
Mechanics6.7
Opening Duels2.5
Win Impact0.0

Composite 4.3/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time689ms+17ms
first ⅓ avg 672ms → last ⅓ avg 689ms
Headshot accuracy19.4%−1.5%
first ⅓ avg 20.9% → last ⅓ avg 19.4%

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 — mirage 11–13
132Biggest win — mirage
5Longest win streak
L5Current streak
68In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 60% over 10nukeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D2891932%-0.00
mirageB189950%0.02
infernoA169756%0.03
ancientD1441029%0.02
cacheA106460%0.01
nukeD71614%0.03
anubisC52340%0.04
train1010%0.01
vertigo1010%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,716Lifetime kills
1.30K/D · Top 10% of Blue band
2,357Matches
42.4%Match win rate
52.9%Headshot % · Top 25% of Blue band
15.5%Shot accuracy · Top 25% of Blue band
5,129MVPs
1,442Hours (in match)
2,677Bombs planted
970Bombs defused

Most-used weapons

AK-4728,705
AWP5,651
FAMAS2,246
P2502,024
MP91,196

Lifetime map wins

5,467dust2
3,149inferno
716nuke
543train
532cbble
414vertigo
32lake
31office

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

Faceit stats

Combat

304Matches
55%Win rate
1.17Avg K/D
100.3ADR
36%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient250%1.0112.0
Vertigo1100%0.9211.0
Inferno1100%1.1416.0
Mirage10%0.6210.0
Dust210%1.3829.0
Anubis1100%2.0050.0

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.

18.7%Headshot accuracy
32.2%Accuracy (enemy spotted)
37.9%Spray accuracy
80.2%Counter-strafing
10.3°Preaim
665msReaction time
41.6%T opening success
38.8%CT opening success
0.37Enemies flashed / flash
3.6%Flash assists
8.44HE damage / grenade
5.05Flashes / 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 0.3693 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.7847% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno2–13-0.1010%25 Aug
inferno0–5-0.0911%22 Aug
dust26–13-0.0723%21 Aug
dust214–160.0118%20 Aug
dust29–13-0.0725%20 Aug
ancient13–50.0022%19 Aug
train10–130.0117%17 Aug
inferno10–60.1321%17 Aug
dust27–13-0.0117%17 Aug
nuke4–130.0422%17 Aug
ancient13–50.0818%16 Aug
inferno0–13-0.0814%16 Aug
nuke0–4-0.0950%15 Aug
ancient10–130.0320%14 Aug
mirage5–13-0.0518%12 Aug
mirage13–20.0722%12 Aug
mirage11–13-0.0216%10 Aug
ancient6–130.0116%10 Aug
inferno2–130.0219%10 Aug
ancient7–130.0010%10 Aug
dust25–13-0.1018%10 Aug
ancient8–13-0.0613%10 Aug
vertigo10–130.0718%9 Aug
dust212–120.0129%9 Aug
dust25–130.0419%9 Aug
mirage13–2-0.0410%9 Aug
mirage16–140.0315%7 Aug
inferno13–70.1217%5 Aug
nuke10–130.1028%5 Aug
ancient2–130.0324%5 Aug
ancient13–20.0625%5 Aug
mirage13–60.0125%5 Aug
cache13–50.1014%5 Aug
mirage1–130.0122%4 Aug
mirage11–130.1621%4 Aug
dust210–130.0623%4 Aug
dust213–10-0.0129%3 Aug
inferno13–80.0332%1 Aug
mirage13–40.1613%1 Aug
mirage13–110.0321%31 Jul
dust213–11-0.0115%31 Jul
ancient12–120.0538%30 Jul
dust25–130.0635%30 Jul
cache13–5-0.0115%29 Jul
ancient11–130.0222%29 Jul
inferno13–20.1637%29 Jul
mirage13–30.0620%28 Jul
dust26–13-0.0313%28 Jul
mirage5–13-0.0822%28 Jul
dust212–160.0622%28 Jul
nuke6–13-0.0811%27 Jul
inferno8–13-0.0113%27 Jul
dust212–12-0.0314%27 Jul
dust216–14-0.0713%27 Jul
dust29–13-0.0815%27 Jul
anubis5–130.099%26 Jul
ancient12–120.0218%23 Jul
cache4–13-0.0818%23 Jul
anubis7–40.0121%22 Jul
anubis12–120.059%22 Jul
inferno16–140.0415%22 Jul
dust211–130.0312%21 Jul
dust214–16-0.0226%21 Jul
ancient13–90.0214%21 Jul
nuke13–50.0518%21 Jul
dust211–90.0318%21 Jul
inferno13–60.0121%20 Jul
nuke7–130.1021%20 Jul
dust213–40.1027%20 Jul
dust26–130.1527%20 Jul
mirage13–70.0422%20 Jul
dust213–100.0316%20 Jul
mirage0–6-0.030%20 Jul
inferno13–70.0720%20 Jul
inferno5–130.0438%20 Jul
dust26–13-0.0628%19 Jul
mirage12–12-0.0217%19 Jul
dust213–9-0.0319%19 Jul
mirage13–10-0.0022%19 Jul
anubis13–60.0320%18 Jul
inferno13–6-0.0138%18 Jul
dust22–13-0.0518%17 Jul
anubis13–50.0420%17 Jul
cache13–100.0314%17 Jul
cache13–90.0131%17 Jul
cache13–90.0019%17 Jul
mirage3–13-0.0427%16 Jul
cache13–80.0318%16 Jul
ancient4–13-0.0319%16 Jul
cache11–130.0725%15 Jul
dust213–20.0716%15 Jul
inferno13–90.0216%15 Jul
nuke8–130.1318%13 Jul
mirage6–130.0424%13 Jul
inferno8–130.0727%13 Jul
dust213–10-0.0123%13 Jul
cache3–130.0219%13 Jul
dust211–13-0.0621%13 Jul
ancient6–13-0.0116%13 Jul
cache9–13-0.068%13 Jul

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 →