diipadaapa

diipadaapa — CS2 Stats

76561199242921677[U:1:1282655949]Steam profile ↗✓ No bans

3,760Tracked matches37%Win rate2022Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating23,122Top 25% of 204,793 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#40599 of 252021 tracked
FaceitLevel 9 · 2,192 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

−235Premier CS Rating · 23,357 → 23,122

Rating over time

Premier CS Rating: 23,122 -1,043 28 Aug – 15 Oct · 20 days played
23,00326,197peak 26,19728 Aug15 Oct
Faceit ELO: 2,192 +0 30 Aug – 21 Sept · 4 observations
2,1922,192peak 2,19230 Aug21 Sept
26,463Peak Premier in tracked matches
2,192Highest Faceit ELO seen on CSDB
20Days played since 2026-08-28

Faceit ELO

  • At peak — 2,192
  • Next: 2,500 ELO at 2,500 — 308 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier CS Rating

  • 3,075 below peak (26,197)
  • -1,878 over 30 days · declining
  • Next: Red band at 25,000 — 1,878 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-19
  • Pink band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGdiipadaapaFACEITLevel 9 · 2,192 ELOSTANDINGTop 20.7% of rankedPREMIER23,122 · Pink bandPEAK ELO2,192csdb.gg/stats

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Performance scores

Aim83
Positioning74
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY39–57–4Last 10039%Win rateLLWWLLWWWW

Last 10 vs previous 10: +40pp win rate · −0.00 avg rating · −2.6pp headshot accuracy · −71ms reaction

Win rate up 40pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 616ms

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).

Aim8.3
Utility6.5
Positioning7.4
Opening Duels4.9
Clutch3.4

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 577ms 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

Aim8.3
Positioning7.4
Utility6.5
Mechanics7.4
Opening Duels8.0
Win Impact0.6

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time591ms+38ms
first ⅓ avg 553ms → last ⅓ avg 591ms
Headshot accuracy21.9%−0.9%
first ⅓ avg 22.8% → last ⅓ avg 21.9%

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.

Personal bests

0.26Best match rating · 9–0 · inferno, 29 Aug →
45%Best headshot accuracy · 4–0 · rush_001, 30 Sept →
313msFastest reaction time · 1–13 · ancient, 30 Sept →
13–0Biggest win · inferno, 18 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
2–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 53% over 17dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
nukeD186–1233%0.00
infernoC176–1135%0.02
ancientB179–853%0.04
anubisB115–645%0.03
mirageC114–736%0.02
dust2D113–827%0.03
cacheD103–730%0.00
rush_001—43–175%0.06
debris—10–10%-0.27

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

331Matches
57%Win rate
1.31Avg K/D
98.5ADR
49%Headshot %

Clutches & streaks

37%1v1 clutch win
30%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke6363%1.3220.1
Ancient5349%1.3920.4
Inferno4957%1.3218.7
Anubis4159%1.5419.5
Mirage4052%1.2417.9
Dust22462%1.4019.9
Overpass1080%1.4219.6
Train967%1.0617.9

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.

20.5%Headshot accuracy
38.0%Accuracy (enemy spotted)
39.1%Spray accuracy
83.3%Counter-strafing
8.6°Preaim
577msReaction time
67.2%T opening success
56.6%CT opening success
0.64Enemies flashed / flash
7.3%Flash assists
9.22HE damage / grenade
6.26Flashes / match

Recommended for you

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.

27% 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
inferno10–13-0.0213%15 Oct →
nuke5–130.0121%15 Oct →
cache13–60.0020%15 Oct →
ancient13–90.0423%15 Oct →
debris1–9-0.2710%10 Oct →
nuke6–9-0.0526%10 Oct →
anubis13–10-0.0210%9 Oct →
mirage13–6-0.0212%9 Oct →
nuke13–10-0.0325%9 Oct →
inferno13–60.0723%9 Oct →
mirage5–13-0.0324%4 Oct →
nuke11–130.0827%4 Oct →
ancient7–13-0.0117%4 Oct →
ancient13–90.0120%4 Oct →
inferno2–13-0.1110%3 Oct →
ancient4–13-0.0039%3 Oct →
nuke11–13-0.0321%2 Oct →
anubis8–13-0.0015%2 Oct →
cache10–13-0.1020%2 Oct →
mirage13–10-0.0517%2 Oct →
inferno12–16-0.0913%2 Oct →
nuke9–13-0.0129%2 Oct →
anubis9–130.0513%2 Oct →
ancient16–130.0118%2 Oct →
dust25–130.0825%2 Oct →
dust25–13-0.0421%2 Oct →
inferno7–13-0.0029%2 Oct →
mirage9–130.0726%2 Oct →
anubis6–130.0317%2 Oct →
rush_0014–8-0.1640%2 Oct →
rush_0016–20.2029%2 Oct →
rush_0016–20.0236%2 Oct →
inferno9–13-0.0032%30 Sept →
nuke13–7-0.0129%30 Sept →
dust213–70.0610%30 Sept →
ancient1–13-0.0215%30 Sept →
ancient13–60.0328%30 Sept →
anubis13–80.0423%30 Sept →
rush_0014–00.1845%30 Sept →
nuke11–130.0219%30 Sept →
dust213–30.0716%30 Sept →
mirage6–13-0.0118%27 Sept →
inferno8–130.0736%27 Sept →
ancient13–60.1019%27 Sept →
nuke9–13-0.0613%25 Sept →
mirage3–13-0.0329%25 Sept →
inferno1–13-0.0417%25 Sept →
inferno13–110.0519%25 Sept →
cache9–13-0.0515%25 Sept →
nuke13–70.0935%25 Sept →
dust28–130.1317%25 Sept →
mirage13–50.1025%25 Sept →
cache13–70.0930%25 Sept →
ancient13–20.2514%25 Sept →
dust216–13-0.0212%25 Sept →
ancient10–130.0116%25 Sept →
nuke11–13-0.0032%24 Sept →
anubis13–30.1614%24 Sept →
dust212–160.0724%23 Sept →
ancient6–130.0821%22 Sept →
cache9–13-0.0231%22 Sept →
mirage0–13-0.0233%18 Sept →
nuke4–130.0339%18 Sept →
anubis16–140.1018%18 Sept →
inferno13–00.1716%18 Sept →
cache11–130.0332%18 Sept →
inferno5–130.0337%12 Sept →
ancient15–15-0.0212%11 Sept →
dust211–130.0210%11 Sept →
nuke16–12-0.0114%11 Sept →
inferno13–9-0.0814%11 Sept →
anubis11–13-0.0633%11 Sept →
cache2–13-0.0125%11 Sept →
dust213–160.0029%11 Sept →
mirage15–150.0722%11 Sept →
inferno13–50.0714%11 Sept →
ancient13–70.0818%11 Sept →
nuke13–70.0418%11 Sept →
dust210–13-0.0133%8 Sept →
ancient13–4-0.0126%8 Sept →
inferno8–13-0.0125%8 Sept →
ancient13–8-0.0127%7 Sept →
nuke9–13-0.0226%7 Sept →
cache13–70.0322%7 Sept →
anubis13–70.0118%2 Sept →
nuke13–60.0711%2 Sept →
anubis7–130.0220%2 Sept →
nuke8–80.0325%29 Aug →
inferno9–00.2637%29 Aug →
inferno13–160.0317%28 Aug →
anubis9–130.0137%28 Aug →
mirage15–150.0420%28 Aug →
ancient10–130.0728%28 Aug →
nuke6–13-0.0830%28 Aug →
cache3–130.0128%28 Aug →
cache3–130.0311%28 Aug →
inferno7–130.0136%28 Aug →
dust25–13-0.0519%28 Aug →
ancient10–13-0.0018%28 Aug →
mirage13–100.1032%28 Aug →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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