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D2AP — CS2 Stats

76561198059485361[U:1:99219633]

793Tracked matches48%Win rate2022Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating13,873Blue band · top ~34.4% of ranked players (population est.)
CSDB Leaderboard#153544 of 251158 tracked
FaceitLevel 6 · 1,201 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

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

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,873 -1,622 17 Aug – 9 Oct · 17 days played
13,87317,170peak 17,17017 Aug9 Oct
Faceit ELO: 1,201 +0 28 Aug – 3 Sept · 2 observations
1,2011,201peak 1,20128 Aug3 Sept
17,672Peak Premier in tracked matches
1,201Highest Faceit ELO seen on CSDB
25Days played since 2026-07-19

Faceit ELO

  • At peak — 1,201
  • Next: Level 7 at 1,351 — 150 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-28
  • Level 5 first seen 2026-08-28

Premier CS Rating

  • 3,297 below peak (17,170)
  • -2,796 over 30 days · declining
  • Next: Purple band at 15,000 — 1,127 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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.GGD2APFACEITLevel 6 · 1,201 ELOSTANDINGTop 54.0% of rankedPREMIER13,873 · Blue bandPEAK ELO1,201csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim59
Positioning60
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLLWWLLWLWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +0.9pp headshot accuracy · +24ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 630ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 599ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 587ms

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 (+2.3 against its own average).

Aim5.9
Utility4.3
Positioning6.0
Opening Duels1.7
Clutch2.8

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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 590ms 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
Positioning6.0
Utility4.3
Mechanics6.4
Opening Duels3.6
Win Impact4.4

Composite 5.1/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time602ms+0ms
first ⅓ avg 602ms → last ⅓ avg 602ms
Headshot accuracy13.0%−0.8%
first ⅓ avg 13.8% → last ⅓ avg 13.0%

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

0.13Best match rating · 13–4 · ancient, 22 Aug →
32%Best headshot accuracy · 13–2 · cache, 15 Aug →
414msFastest reaction time · 13–8 · cache, 5 Oct →
13–2Biggest win · mirage, 3 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
9–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 78% over 9mirageWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
nukeB209–1145%-0.02
mirageC176–1135%-0.02
dust2C167–944%0.00
ancientA138–562%0.02
infernoB126–650%-0.01
anubisC114–736%-0.00
cacheS97–278%-0.01
vertigo—22–0100%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

108Matches
52%Win rate
1.10Avg K/D
77.2ADR
38%Headshot %

Clutches & streaks

34%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3050%1.0915.3
Dust22544%1.0815.0
Inferno1656%1.1715.2
Ancient1250%1.1014.2
Nuke956%0.9012.9
Anubis540%0.9415.6
Cache4100%1.1016.3
Vertigo367%0.6411.0

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.

13.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
35.9%Spray accuracy
78.6%Counter-strafing
10.1°Preaim
590msReaction time
51.5%T opening success
37.2%CT opening success
0.44Enemies flashed / flash
5.2%Flash assists
11.83HE damage / grenade
3.36Flashes / 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 13.0559% — 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 0.4364 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 37.2187% — below the 40% mark we flag

Spend your practice time on Mirage

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage0–13-0.0817%9 Oct →
inferno8–13-0.0011%9 Oct →
inferno13–50.0422%7 Oct →
mirage13–80.0310%7 Oct →
nuke9–13-0.0412%7 Oct →
nuke13–16-0.027%7 Oct →
dust213–100.0318%7 Oct →
ancient7–130.008%7 Oct →
cache13–8-0.0621%5 Oct →
nuke11–130.0115%5 Oct →
anubis10–130.016%4 Oct →
dust213–9-0.0518%3 Oct →
anubis8–13-0.0216%3 Oct →
mirage13–2-0.0216%3 Oct →
ancient13–11-0.0511%3 Oct →
inferno16–130.039%28 Sept →
inferno9–130.0511%26 Sept →
nuke13–60.0616%26 Sept →
nuke13–30.1118%26 Sept →
nuke13–6-0.079%26 Sept →
ancient6–13-0.0115%26 Sept →
nuke15–15-0.0716%26 Sept →
mirage7–13-0.0411%25 Sept →
dust25–13-0.0111%25 Sept →
anubis13–80.028%25 Sept →
nuke13–110.0114%23 Sept →
inferno5–13-0.0714%23 Sept →
cache13–11-0.0110%23 Sept →
dust26–13-0.0311%23 Sept →
anubis10–13-0.0116%23 Sept →
dust213–10-0.0012%23 Sept →
anubis11–13-0.037%20 Sept →
mirage11–130.0111%20 Sept →
nuke8–13-0.0612%20 Sept →
nuke8–130.006%18 Sept →
inferno13–10-0.047%18 Sept →
mirage11–13-0.0414%18 Sept →
anubis3–13-0.0317%18 Sept →
dust29–130.0710%18 Sept →
nuke10–13-0.026%6 Sept →
anubis2–13-0.037%6 Sept →
cache9–13-0.048%6 Sept →
anubis13–30.0415%6 Sept →
mirage5–13-0.0119%6 Sept →
nuke13–10-0.0311%6 Sept →
ancient13–80.035%6 Sept →
mirage11–13-0.0413%5 Sept →
nuke7–13-0.0911%5 Sept →
mirage13–7-0.0220%5 Sept →
anubis1–130.000%5 Sept →
mirage13–30.0318%5 Sept →
ancient11–130.0215%5 Sept →
cache16–14-0.0120%2 Sept →
anubis13–10-0.0217%2 Sept →
nuke10–130.0014%2 Sept →
cache6–13-0.0117%31 Aug →
ancient13–110.065%31 Aug →
inferno10–13-0.059%31 Aug →
cache13–7-0.0211%23 Aug →
mirage5–13-0.0113%23 Aug →
ancient13–60.0613%23 Aug →
ancient13–40.1313%22 Aug →
inferno10–2-0.0210%22 Aug →
mirage8–13-0.046%22 Aug →
nuke13–7-0.0214%22 Aug →
dust29–13-0.0414%17 Aug →
inferno13–8-0.0114%17 Aug →
dust213–6-0.057%17 Aug →
dust28–13-0.0315%15 Aug →
cache13–20.0432%15 Aug →
nuke4–13-0.079%15 Aug →
vertigo13–9-0.048%15 Aug →
nuke2–13-0.1022%15 Aug →
ancient11–130.0116%15 Aug →
dust213–80.0714%15 Aug →
dust29–130.0311%12 Aug →
nuke13–30.0110%12 Aug →
dust213–80.0311%12 Aug →
nuke13–9-0.0111%12 Aug →
cache13–10-0.0618%9 Aug →
dust213–50.0321%9 Aug →
ancient13–30.015%9 Aug →
vertigo13–11-0.059%9 Aug →
mirage10–13-0.0222%9 Aug →
dust24–13-0.0511%9 Aug →
inferno6–13-0.0815%9 Aug →
ancient13–110.0118%9 Aug →
cache13–90.0513%26 Jul →
ancient13–90.0813%26 Jul →
mirage11–130.0314%26 Jul →
inferno10–13-0.0410%26 Jul →
nuke13–100.0514%26 Jul →
ancient3–13-0.0713%25 Jul →
dust24–130.0117%25 Jul →
mirage13–80.0011%25 Jul →
dust215–150.0315%22 Jul →
mirage13–8-0.0210%22 Jul →
anubis13–110.0411%22 Jul →
mirage11–13-0.0217%22 Jul →
inferno13–110.0811%19 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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