Info Panel

Info Panel — CS2 Stats

EE76561198880940763[U:1:920675035]Steam profile ↗✓ No bans

1,751Tracked matches52%Win rate2020Tracked since
5,049Hours in CS21Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 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: 14,999 -1,850 25 Aug – 22 Oct · 37 days played
12,58217,758peak 17,75825 Aug22 Oct
17,878Peak Premier in tracked matches
37Days played since 2026-08-25

Premier CS Rating

  • 2,759 below peak (17,758)
  • -2,224 over 30 days · declining
  • Next: Purple band at 15,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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
Matches55——
Win rate45%——
K/D0.98——
Headshot %46%——

Measured 24 Sep 2026 → 23 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate40.2%42.0%44.3%4.2% short
Shot accuracy10.0%9.6%11.9%1.9% short
Kill/death ratio0.900.981.030.13 short
Match win rate38.8%43.8%45.2%6.5% short

This profile sits below the typical Purple band player on every metric we can compare.

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

Share this profile

CSDB.GGInfo PanelPREMIER14,999 · Blue 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

Aim63
Positioning56
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWLWLWWLLWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −0.2pp headshot accuracy · −20ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 542ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 558ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 568ms

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: Support — Utility contribution stands above the rest of this profile (+3.3 against its own average).

Aim6.3
Utility6.8
Positioning5.6
Opening Duels1.5
Clutch0.0

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 75% 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

Reaction time. 571ms 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

Aim6.3
Positioning5.6
Utility6.8
Mechanics6.9
Opening Duels3.5
Win Impact5.6

Composite 5.7/10 (Solid), 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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time571ms−59ms
first ⅓ avg 630ms → last ⅓ avg 571ms
Headshot accuracy15.9%−5.9%
first ⅓ avg 21.8% → last ⅓ avg 15.9%

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

0.11Best match rating · 13–6 · cache, 19 Oct →
56%Best headshot accuracy · 6–13 · ancient, 25 Sept →
414msFastest reaction time · 9–5 · inferno, 23 Sept →
13–2Biggest win · inferno, 4 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 63% over 16ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB2412–1250%0.00
nukeA1610–663%-0.01
anubisA159–660%-0.01
mirageD134–931%-0.03
cacheC135–838%-0.00
dust2D93–633%0.00
ancientD61–517%-0.01
office—21–150%-0.05
train—11–0100%-0.03
debris—11–0100%-0.07

Across the last 100 tracked matches.

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

Lifetime stats

106,357Lifetime kills
0.90K/D
5,799Matches
38.8%Match win rate
40.2%Headshot %
10.0%Shot accuracy · Top 50% of Blue band
13,167MVPs
2,409Hours (in match)
6,377Bombs planted
1,246Bombs defused

Most-used weapons

AK-4723,342
AWP10,591
MP98,801
MAC-105,432
SSG 083,531
MP73,100

Lifetime map wins

15,366inferno
6,336nuke
5,347dust2
2,209vertigo
2,206train
898office
322italy
269lake

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

Faceit stats

Combat

27Matches
59%Win rate
0.84Avg K/D
59.0ADR
45%Headshot %

Clutches & streaks

18%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke667%0.7510.3
Mirage540%0.7912.8
Dust2450%0.8510.5
Cache367%0.9910.0
Anubis3100%1.0213.7
Inferno367%0.8715.3
Overpass10%0.356.0

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.

15.4%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.2%Spray accuracy
81.0%Counter-strafing
11.3°Preaim
571msReaction time
47.6%T opening success
40.5%CT opening success
0.55Enemies flashed / flash
4.8%Flash assists
6.92HE damage / grenade
14.82Flashes / match

Recommended for you

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 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.0319%22 Oct →
nuke9–130.0512%22 Oct →
inferno13–70.0423%22 Oct →
anubis12–16-0.0917%21 Oct →
nuke13–110.0413%21 Oct →
inferno13–60.0219%21 Oct →
nuke9–13-0.0316%20 Oct →
inferno3–13-0.068%20 Oct →
inferno13–90.0010%20 Oct →
mirage13–30.0719%19 Oct →
cache13–60.1120%19 Oct →
mirage15–15-0.0412%19 Oct →
cache13–70.1019%18 Oct →
nuke13–7-0.0424%17 Oct →
inferno13–100.0310%16 Oct →
anubis13–80.0411%16 Oct →
inferno9–130.0814%14 Oct →
inferno11–130.0221%14 Oct →
dust211–130.0113%14 Oct →
mirage8–13-0.0412%14 Oct →
anubis13–9-0.0116%13 Oct →
dust210–13-0.0117%13 Oct →
train13–8-0.038%13 Oct →
inferno9–13-0.0312%12 Oct →
ancient11–13-0.0416%12 Oct →
inferno2–13-0.0316%12 Oct →
mirage13–50.0221%12 Oct →
dust214–16-0.0610%11 Oct →
nuke13–30.0823%8 Oct →
dust214–160.0216%8 Oct →
anubis13–40.0123%4 Oct →
dust213–100.0420%4 Oct →
inferno13–20.0913%4 Oct →
ancient3–130.0124%2 Oct →
nuke13–90.0514%2 Oct →
anubis10–13-0.0413%30 Sept →
cache13–100.0416%30 Sept →
mirage11–13-0.0812%30 Sept →
nuke11–13-0.0524%29 Sept →
ancient4–130.0122%29 Sept →
dust27–130.0520%29 Sept →
nuke13–6-0.0321%28 Sept →
anubis8–13-0.0613%28 Sept →
cache5–13-0.037%28 Sept →
mirage6–13-0.0918%28 Sept →
anubis13–16-0.0024%27 Sept →
office4–13-0.088%25 Sept →
ancient6–130.0156%25 Sept →
cache7–13-0.0323%25 Sept →
dust213–11-0.0018%23 Sept →
cache10–13-0.0623%23 Sept →
anubis15–150.0225%23 Sept →
inferno9–50.0519%23 Sept →
inferno3–9-0.225%23 Sept →
inferno9–60.0214%23 Sept →
mirage5–13-0.0713%22 Sept →
anubis13–50.0013%22 Sept →
cache8–130.0235%22 Sept →
anubis6–130.0112%21 Sept →
nuke13–10-0.0327%21 Sept →
inferno13–70.0527%21 Sept →
cache11–13-0.0222%20 Sept →
inferno7–130.0419%20 Sept →
anubis13–9-0.0911%19 Sept →
cache5–13-0.0736%19 Sept →
inferno13–100.0924%19 Sept →
nuke9–13-0.0823%17 Sept →
nuke13–4-0.0325%17 Sept →
nuke13–8-0.0423%16 Sept →
cache13–100.0024%16 Sept →
mirage5–13-0.0720%16 Sept →
inferno13–6-0.0424%16 Sept →
inferno8–13-0.0315%15 Sept →
ancient16–13-0.0116%15 Sept →
nuke13–100.0127%15 Sept →
anubis13–50.0023%13 Sept →
ancient9–13-0.0524%13 Sept →
nuke10–13-0.0112%13 Sept →
mirage13–80.0117%7 Sept →
dust213–60.0630%7 Sept →
debris9–4-0.077%7 Sept →
inferno8–130.0114%6 Sept →
mirage15–150.0431%6 Sept →
office13–11-0.0224%5 Sept →
dust25–13-0.0518%5 Sept →
anubis13–70.0525%5 Sept →
cache5–13-0.0528%5 Sept →
nuke13–60.0125%5 Sept →
cache16–130.0737%3 Sept →
inferno13–10-0.0319%3 Sept →
anubis13–8-0.039%3 Sept →
mirage17–19-0.0531%3 Sept →
inferno6–13-0.0421%2 Sept →
anubis13–60.0120%2 Sept →
inferno13–110.0428%2 Sept →
inferno5–13-0.0624%1 Sept →
mirage11–130.0018%31 Aug →
inferno9–13-0.0227%31 Aug →
cache10–13-0.0717%30 Aug →
nuke5–13-0.0916%25 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.