dippa

dippa — CS2 Stats

MZ76561198088279767[U:1:128014039]Steam profile ↗✓ No bans

716Tracked matches54%Win rate2020Tracked since
CSDB Rating5.0 DevelopingClutch Specialist
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 716
0.0ppWin rate · 53.6% → 53.6%

Rating over time

Premier CS Rating: 17,666 +5,932 11 Apr – 13 Jun · 19 days played
10,42217,666peak 17,66611 Apr13 Jun
17,859Peak Premier in tracked matches
39Days played since 2025-03-18

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

Share this profile

CSDB.GGdippaFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning49
Utility57

0–100 skill scores via Leetify.

Recent form

COLD48–46–6Last 10048%Win rateWLLLLLWLTL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +2.6pp headshot accuracy · −15ms reaction

Win rate down 30pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 592ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 607ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 615ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.3 against its own average).

Aim4.8
Utility5.7
Positioning4.9
Opening Duels2.1
Clutch6.0

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

ZywOo

Plays most like ZywOo 76% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 46% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim4.8
Positioning4.9
Utility5.7
Mechanics5.9
Opening Duels2.0
Win Impact6.2

Composite 5.0/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time629ms−11ms
first ⅓ avg 640ms → last ⅓ avg 629ms
Headshot accuracy14.2%−0.8%
first ⅓ avg 15.0% → last ⅓ avg 14.2%

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

0.09Best match rating · 13–4 · inferno, 2 May →
32%Best headshot accuracy · 1–13 · dust2, 2 Mar →
453msFastest reaction time · 13–4 · inferno, 10 Dec →
13–2Biggest win · dust2, 20 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 59% over 22anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA2213–959%-0.00
dust2C229–1341%-0.00
ancientB157–847%-0.04
overpassB137–654%0.00
nukeA116–555%-0.01
anubisD93–633%-0.03
cache—30–30%0.00
mirage—32–167%-0.02
train—21–150%-0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

29Matches
55%Win rate
1.07Avg K/D
69.7ADR
36%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno367%1.2217.0
Ancient2100%0.9716.5
Dust2250%1.4214.5
Overpass250%0.6210.5

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.

13.7%Headshot accuracy
31.3%Accuracy (enemy spotted)
31.2%Spray accuracy
76.7%Counter-strafing
9.8°Preaim
626msReaction time
25.3%T opening success
45.9%CT opening success
0.59Enemies flashed / flash
6.4%Flash assists
12.32HE damage / grenade
6.08Flashes / 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 13.7473% — below the 15% mark we flag

    Aim Training →
  2. 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 25.2536% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0321%23 Oct →
cache11–13-0.038%4 Sept →
dust211–13-0.0014%28 Aug →
ancient8–13-0.073%28 Aug →
cache3–130.0231%27 Jul →
anubis6–13-0.0224%27 Jul →
overpass16–140.0217%13 Jun →
nuke5–13-0.058%13 Jun →
anubis15–15-0.0223%13 Jun →
dust28–130.0117%2 Jun →
inferno16–13-0.0313%2 Jun →
dust26–13-0.0030%29 May →
ancient13–5-0.1115%29 May →
nuke9–130.0413%22 May →
anubis13–70.0010%22 May →
ancient15–15-0.076%22 May →
dust213–10-0.048%22 May →
inferno14–16-0.0511%15 May →
ancient13–10-0.0615%15 May →
cache7–130.0220%3 May →
anubis13–11-0.029%3 May →
inferno13–100.0112%2 May →
dust26–13-0.0116%2 May →
overpass13–80.0817%2 May →
inferno13–40.0919%2 May →
ancient13–16-0.078%1 May →
overpass13–6-0.019%1 May →
anubis13–7-0.054%1 May →
inferno13–7-0.047%1 May →
overpass13–110.0613%24 Apr →
ancient13–11-0.0218%24 Apr →
inferno11–13-0.0110%24 Apr →
dust24–13-0.1020%24 Apr →
inferno13–80.0226%23 Apr →
anubis10–13-0.045%23 Apr →
ancient5–13-0.045%17 Apr →
overpass6–13-0.075%17 Apr →
nuke4–13-0.0711%17 Apr →
dust213–11-0.0516%17 Apr →
inferno13–7-0.0012%17 Apr →
ancient13–9-0.0611%14 Apr →
inferno13–50.0315%14 Apr →
overpass10–130.0315%2 Mar →
dust213–16-0.0216%2 Mar →
dust21–13-0.0532%2 Mar →
mirage13–9-0.0412%27 Feb →
inferno7–13-0.0410%27 Feb →
dust213–50.0626%27 Feb →
inferno15–15-0.0115%17 Feb →
dust216–120.0310%17 Feb →
overpass15–15-0.0117%6 Feb →
ancient5–13-0.0210%6 Feb →
dust213–110.0314%30 Jan →
dust213–110.0518%23 Jan →
anubis0–12-0.067%23 Jan →
inferno15–15-0.0011%23 Jan →
dust211–13-0.0316%16 Jan →
overpass13–40.0118%7 Jan →
ancient8–13-0.0812%7 Jan →
ancient13–7-0.0412%19 Dec →
nuke13–100.0310%19 Dec →
inferno13–11-0.0218%19 Dec →
nuke13–9-0.0310%15 Dec →
ancient8–130.0213%10 Dec →
inferno13–40.0321%10 Dec →
dust22–5-0.0119%10 Dec →
inferno9–13-0.0119%5 Dec →
dust27–13-0.0113%5 Dec →
mirage11–130.0114%5 Dec →
overpass9–130.0213%28 Nov →
dust28–130.0132%28 Nov →
train8–130.0214%28 Nov →
ancient13–90.0515%28 Nov →
dust216–14-0.025%24 Nov →
overpass13–90.0111%7 Nov →
nuke11–13-0.0216%7 Nov →
dust26–130.039%7 Nov →
nuke13–10-0.099%5 Nov →
dust213–80.0311%5 Nov →
overpass6–13-0.0813%5 Nov →
inferno16–130.0515%1 Nov →
nuke10–13-0.0313%1 Nov →
inferno13–100.0114%1 Nov →
mirage16–14-0.0228%10 Oct →
inferno6–13-0.0418%10 Oct →
overpass15–15-0.0324%10 Oct →
dust29–13-0.0318%10 Oct →
overpass13–6-0.027%10 Oct →
nuke13–70.039%10 Oct →
anubis4–13-0.0319%20 Jun →
inferno7–13-0.015%20 Jun →
nuke13–9-0.0023%20 Jun →
dust213–20.0329%20 Apr →
ancient13–90.0211%20 Apr →
inferno13–50.0118%20 Apr →
train13–9-0.0224%11 Apr →
nuke13–80.0720%11 Apr →
anubis9–13-0.0011%25 Mar →
ancient7–13-0.072%25 Mar →
inferno8–13-0.0614%18 Mar →

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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