Dealz

Dealz — CS2 Stats

76561198077253351[U:1:116987623]Steam profile ↗✓ No bans

419Tracked matches29%Win rate2026Tracked since
465Hours in CS19Hrs last 2 wks
CSDB Rating2.2 LearningPositional Player
Premier CS Rating2,631Grey band · top ~88.8% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (6 days ago). 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: 2,631 -651 23 Jul – 30 Sept · 31 days played
2,6313,563peak 3,56323 Jul30 Sept
3,563Peak Premier in tracked matches
40Days played since 2026-07-23

Premier CS Rating

  • 932 below peak (3,563)
  • -460 over 30 days · declining
  • Next: Light Blue band at 5,000 — 2,369 to go

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches58——
Win rate31%——
K/D0.46——
Headshot %34%——

Measured 8 Sep 2026 → 6 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,923), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate66.3%41.3%41.8%above
Shot accuracy0.4%12.7%12.2%11.8% short
Kill/death ratio1.140.950.98above
Match win rate25.6%42.6%43.3%17.7% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDealzFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER2,631 · Grey bandcsdb.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

Aim15
Positioning34
Utility33

0–100 skill scores via Leetify.

Recent form

COLD36–52–12Last 10036%Win rateWLLLLTTLLT

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −3.6pp headshot accuracy · −32ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 691ms

Last 10

  • 1–6–3 · 10% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 732ms

Last 20

  • 2–15–3 · 10% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 12%
  • Avg reaction 748ms

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 (+1.4 against its own average).

Aim1.5
Utility3.3
Positioning3.4
Opening Duels0.0
Clutch1.2

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 62% 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. 731ms 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

Aim1.5
Positioning3.4
Utility3.3
Mechanics5.5
Opening Duels0.4
Win Impact0.0

Composite 2.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.00
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time757ms+28ms
first ⅓ avg 730ms → last ⅓ avg 757ms
Headshot accuracy10.7%−0.5%
first ⅓ avg 11.1% → last ⅓ avg 10.7%

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

0.07Best match rating · 13–4 · fachwerk, 3 Aug →
25%Best headshot accuracy · 9–4 · inferno, 2 Oct →
492msFastest reaction time · 10–13 · ancient, 30 Sept →
13–1Biggest win · dust2, 20 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

vertigoBest map · 67% over 6ancientWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
nukeD154–1127%-0.09
mirageC146–843%-0.06
infernoC125–742%-0.05
ancientD122–1017%-0.06
cacheD102–820%-0.08
dust2A106–460%-0.05
anubisC83–538%-0.03
vertigoS64–267%-0.09
office—41–325%-0.04
overpass—21–150%-0.05
train—21–150%-0.07
debris—10–10%-0.18
italy—10–10%-0.05
shelter—10–10%-0.06
boulder—10–10%-0.04
fachwerk—11–0100%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,893Lifetime kills
1.14K/D · Top 25% of Level 2 players
785Matches
25.6%Match win rate
66.3%Headshot % · Top 1% of Level 2 players
0.4%Shot accuracy
521MVPs
262Hours (in match)
542Bombs planted
366Bombs defused

Most-used weapons

Lifetime map wins

713dust2
534nuke
513inferno
218office
210vertigo
90train
23italy
12ar_baggage

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

Faceit stats

Combat

32Matches
28%Win rate
0.42Avg K/D
44.2ADR
44%Headshot %

Clutches & streaks

26%1v1 clutch win
9%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage838%0.376.1
Dust2714%0.468.0
Cache540%0.5711.8
Anubis40%0.325.3
Ancient333%0.406.7
Nuke367%0.4711.0
Overpass20%0.264.0

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.

10.6%Headshot accuracy
26.5%Accuracy (enemy spotted)
26.9%Spray accuracy
74.8%Counter-strafing
13.6°Preaim
731msReaction time
33.0%T opening success
22.9%CT opening success
0.37Enemies flashed / flash
0.8%Flash assists
8.45HE damage / grenade
10.31Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.6377° — above the 12° mark we flag

    Aim Training →
  2. 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 10.6426% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 730.8705ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Ancient

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–4-0.0225%2 Oct →
nuke13–16-0.118%30 Sept →
mirage1–13-0.090%30 Sept →
inferno10–13-0.0213%30 Sept →
ancient10–130.015%30 Sept →
inferno8–8-0.087%30 Sept →
inferno8–8-0.118%29 Sept →
nuke7–13-0.0516%29 Sept →
ancient7–13-0.0810%29 Sept →
mirage12–12-0.079%29 Sept →
mirage12–16-0.109%27 Sept →
mirage13–6-0.0318%27 Sept →
ancient3–13-0.1014%26 Sept →
cache3–13-0.1318%25 Sept →
ancient2–13-0.148%25 Sept →
anubis3–13-0.0722%25 Sept →
vertigo0–13-0.1014%25 Sept →
anubis6–130.0114%24 Sept →
office1–13-0.0512%22 Sept →
debris2–9-0.189%22 Sept →
anubis13–110.0113%21 Sept →
dust213–50.0417%21 Sept →
office13–10-0.0014%20 Sept →
inferno4–13-0.043%20 Sept →
nuke13–7-0.055%20 Sept →
ancient13–8-0.076%19 Sept →
dust216–12-0.067%19 Sept →
overpass7–13-0.100%18 Sept →
inferno15–15-0.1111%17 Sept →
ancient11–13-0.0712%16 Sept →
mirage9–13-0.0210%28 Aug →
italy8–13-0.059%26 Aug →
nuke4–13-0.065%26 Aug →
nuke13–11-0.0821%25 Aug →
office12–12-0.0912%25 Aug →
shelter12–12-0.0613%25 Aug →
nuke10–13-0.0712%23 Aug →
vertigo12–12-0.069%21 Aug →
mirage13–5-0.114%21 Aug →
dust213–1-0.0711%20 Aug →
cache12–16-0.0511%20 Aug →
nuke11–13-0.0811%19 Aug →
train5–13-0.0612%19 Aug →
mirage3–13-0.1015%19 Aug →
mirage12–12-0.057%19 Aug →
anubis12–12-0.0613%18 Aug →
cache13–11-0.1316%18 Aug →
dust211–13-0.1213%16 Aug →
nuke8–13-0.1211%13 Aug →
cache13–11-0.0414%13 Aug →
anubis13–10-0.0613%13 Aug →
nuke10–13-0.1013%12 Aug →
mirage13–100.0016%12 Aug →
mirage12–16-0.0412%11 Aug →
ancient13–8-0.0211%9 Aug →
overpass13–10.000%9 Aug →
inferno13–11-0.0311%7 Aug →
nuke13–10-0.040%6 Aug →
nuke11–13-0.080%6 Aug →
office12–12-0.034%6 Aug →
ancient6–13-0.033%6 Aug →
nuke1–9-0.179%6 Aug →
dust213–11-0.0416%5 Aug →
cache10–13-0.0216%5 Aug →
nuke7–13-0.0920%4 Aug →
boulder8–13-0.0417%4 Aug →
ancient3–13-0.0410%4 Aug →
fachwerk13–40.0712%3 Aug →
vertigo13–6-0.0614%3 Aug →
cache11–13-0.1211%3 Aug →
dust28–13-0.130%3 Aug →
inferno13–9-0.0912%2 Aug →
mirage9–13-0.0623%2 Aug →
vertigo13–11-0.0812%2 Aug →
inferno13–16-0.096%2 Aug →
vertigo13–6-0.1211%1 Aug →
mirage13–4-0.063%1 Aug →
cache7–13-0.023%1 Aug →
dust213–2-0.0421%1 Aug →
inferno13–70.0219%1 Aug →
mirage13–3-0.0512%1 Aug →
inferno11–13-0.0413%31 Jul →
ancient14–16-0.0217%31 Jul →
ancient9–13-0.0916%31 Jul →
mirage13–11-0.076%30 Jul →
cache12–12-0.0617%30 Jul →
cache3–13-0.088%30 Jul →
dust28–130.0213%30 Jul →
ancient12–12-0.1013%29 Jul →
train13–7-0.0819%29 Jul →
nuke13–6-0.1113%29 Jul →
vertigo13–11-0.127%29 Jul →
cache3–13-0.100%29 Jul →
dust28–13-0.130%25 Jul →
nuke7–13-0.0720%24 Jul →
anubis0–2-0.070%24 Jul →
anubis5–13-0.0117%24 Jul →
inferno13–11-0.058%23 Jul →
anubis13–90.028%23 Jul →
dust213–6-0.0213%23 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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