HippyTwit

HippyTwit — CS2 Stats

GB76561198095859043[U:1:135593315]Steam profile ↗✓ No bans

527Tracked matches43%Win rate2021Tracked since
1,135Hours in CS
CSDB Rating3.2 LearningPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 10,344 -1,611 20 Jul – 18 Jan · 40 days played
7,74112,514peak 12,51420 Jul18 Jan
12,952Peak Premier in tracked matches
51Days played since 2025-07-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim44
Positioning42
Utility24

0–100 skill scores via Leetify.

Recent form

COLD44–51–5Last 10044%Win rateWLWWLLLLLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +0.9pp headshot accuracy · −2ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 669ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 611ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 612ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim4.4
Utility2.4
Positioning4.2
Opening Duels2.5
Clutch0.0

Limited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 85% playstyle similarity

Most alike: positioning profile, 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. 603ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4
Positioning4.2
Utility2.4
Mechanics1.4
Opening Duels2.4
Win Impact2.6

Composite 3.2/10 (Learning), 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 time596ms+7ms
first ⅓ avg 589ms → last ⅓ avg 596ms
Headshot accuracy13.7%+0.2%
first ⅓ avg 13.4% → last ⅓ avg 13.7%

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.

Personal bests

0.18Best match rating · 13–0 · mirage, 21 Jul →
67%Best headshot accuracy · 13–7 · train, 30 Sept →
438msFastest reaction time · 13–8 · ancient, 9 Dec →
13–0Biggest win · mirage, 21 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 50% over 14dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoC2811–1739%-0.02
ancientC177–1041%-0.02
mirageB157–847%-0.01
nukeB147–750%-0.00
overpassB115–645%0.00
dust2C114–736%-0.01
office—22–0100%-0.03
cache—10–10%0.03
train—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,183Lifetime kills
1.04K/D · Top 50% of tracked players
2,717Matches
43.4%Match win rate
24.4%Headshot %
16.2%Shot accuracy · Top 25% of tracked players
5,714MVPs
1,135Hours (in match)
2,993Bombs planted
486Bombs defused

Most-used weapons

AWP18,362
XM10144,100
AK-474,067
P901,948
SG 5531,840
SSG 081,599

Lifetime map wins

5,092inferno
5,079dust2
1,517nuke
680train
592office
568vertigo
150cbble
63assault

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

Faceit stats

Combat

9Matches
22%Win rate
0.56Avg K/D
76.4ADR
14%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo10%0.337.0
Anubis10%0.5910.0
Mirage1100%1.4217.0
Ancient10%0.7016.0

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.

14.4%Headshot accuracy
31.1%Accuracy (enemy spotted)
45.9%Spray accuracy
56.4%Counter-strafing
10.6°Preaim
603msReaction time
39.9%T opening success
38.9%CT opening success
0.35Enemies flashed / flash
0.0%Flash assists
9.62HE damage / grenade
1.12Flashes / 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 14.401% — 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 0.3461 — 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 39.9316% — below the 40% mark we flag

Spend your practice time on Dust 2

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0618%19 Sept →
inferno5–13-0.0310%20 Aug →
inferno13–110.059%6 Aug →
inferno13–80.0118%25 Jun →
nuke9–130.0050%13 Jun →
inferno6–130.0212%6 May →
inferno10–13-0.0113%6 May →
cache6–130.0317%6 May →
overpass3–11-0.050%20 Apr →
inferno6–13-0.009%5 Apr →
inferno11–13-0.037%5 Apr →
inferno13–100.0421%5 Apr →
mirage3–13-0.048%4 Mar →
ancient6–13-0.048%18 Jan →
inferno13–9-0.0325%18 Jan →
nuke15–150.0423%17 Jan →
mirage13–11-0.016%13 Jan →
nuke13–9-0.0114%13 Jan →
dust28–13-0.0325%12 Jan →
inferno13–90.018%12 Jan →
mirage13–9-0.076%11 Jan →
inferno13–11-0.0422%11 Jan →
ancient5–13-0.0613%11 Jan →
dust29–13-0.0920%10 Jan →
inferno13–70.0111%10 Jan →
overpass13–10.170%9 Jan →
inferno8–13-0.029%9 Jan →
overpass15–15-0.0116%6 Jan →
ancient10–13-0.036%6 Jan →
mirage1–13-0.1113%6 Jan →
ancient9–2-0.010%5 Jan →
ancient13–80.010%5 Jan →
overpass11–130.0038%21 Dec →
inferno9–13-0.0325%9 Dec →
ancient13–80.0315%9 Dec →
nuke10–130.0111%7 Dec →
nuke13–90.0515%7 Dec →
dust213–70.0840%5 Dec →
mirage13–80.060%2 Dec →
nuke13–40.106%1 Dec →
nuke13–11-0.006%27 Nov →
inferno11–13-0.0518%24 Nov →
dust211–130.009%24 Nov →
inferno8–13-0.0224%24 Nov →
inferno16–14-0.049%2 Nov →
mirage11–13-0.015%2 Nov →
ancient3–13-0.0640%2 Nov →
overpass13–16-0.0514%2 Nov →
mirage13–9-0.0414%10 Oct →
office13–10-0.028%4 Oct →
office13–8-0.0316%4 Oct →
ancient6–13-0.0633%1 Oct →
train13–70.0467%30 Sept →
overpass13–40.0113%30 Sept →
nuke7–13-0.0523%29 Sept →
mirage14–16-0.038%29 Sept →
inferno15–15-0.039%29 Sept →
inferno11–13-0.0321%28 Sept →
nuke7–13-0.0713%28 Sept →
ancient7–13-0.080%27 Sept →
ancient13–30.0326%27 Sept →
mirage10–130.046%24 Sept →
mirage13–11-0.024%24 Sept →
overpass10–13-0.0310%21 Sept →
inferno9–13-0.0650%16 Sept →
inferno11–130.0510%16 Sept →
overpass13–50.0315%16 Sept →
mirage10–13-0.069%13 Sept →
nuke16–140.0523%13 Sept →
ancient5–13-0.0420%11 Sept →
inferno3–13-0.0833%5 Sept →
nuke13–8-0.0314%5 Sept →
dust211–13-0.020%19 Aug →
overpass0–13-0.1023%19 Aug →
ancient13–4-0.0114%18 Aug →
nuke15–15-0.0313%18 Aug →
nuke13–90.0023%18 Aug →
inferno12–16-0.010%14 Aug →
overpass13–40.019%14 Aug →
inferno11–13-0.0517%11 Aug →
ancient13–11-0.0121%7 Aug →
ancient13–3-0.014%4 Aug →
inferno16–13-0.069%29 Jul →
inferno2–13-0.0410%27 Jul →
dust211–13-0.0210%27 Jul →
dust213–60.023%27 Jul →
mirage13–90.014%27 Jul →
dust213–40.0116%26 Jul →
ancient5–13-0.0822%26 Jul →
dust27–130.0629%26 Jul →
mirage9–13-0.009%21 Jul →
mirage13–00.1817%21 Jul →
nuke10–13-0.0528%21 Jul →
ancient4–13-0.020%20 Jul →
dust27–13-0.0820%20 Jul →
dust216–140.005%20 Jul →
overpass13–90.056%20 Jul →
ancient15–150.0810%20 Jul →
inferno16–14-0.0314%20 Jul →
mirage7–13-0.0210%20 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 →

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