DoRy

DoRy — CS2 Stats

AU76561199131265906[U:1:1171000178]Steam profile ↗✓ No bans

1,818Tracked matches43%Win rate2022Tracked since
2,170Hours in CS20Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating12,413Blue band · top ~42.1% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+744Premier CS Rating · 11,669 → 12,413

Rating over time

Premier CS Rating: 12,413 +166 10 Aug – 2 Nov · 15 days played
11,50012,857peak 12,85710 Aug2 Nov
13,144Peak Premier in tracked matches
39Days played since 2026-06-30

Premier CS Rating

  • 444 below peak (12,857)
  • +166 over 90 days
  • Next: Purple band at 15,000 — 2,587 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-18
  • Light Blue band first seen 2026-09-18

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

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 rate43.7%42.0%44.4%meets
Shot accuracy7.5%9.6%11.9%4.3% short
Kill/death ratio0.850.981.030.18 short
Match win rate40.9%43.8%45.2%4.3% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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.GGDoRyPREMIER12,413 · Blue bandcsdb.gg/stats

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Performance scores

Aim81
Positioning54
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWWLWLLWTW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −3.9pp headshot accuracy · −84ms 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 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 530ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 553ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 595ms

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 (+1.2 against its own average).

Aim8.1
Utility6.0
Positioning5.4
Opening Duels2.0
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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Aim8.1
Positioning5.4
Utility6.0
Mechanics7.6
Opening Duels3.6
Win Impact2.6

Composite 5.9/10 (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 rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time592ms−84ms
first ⅓ avg 676ms → last ⅓ avg 592ms
Headshot accuracy20.4%+0.8%
first ⅓ avg 19.6% → last ⅓ avg 20.4%

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

0.20Best match rating · 13–8 · dust2, 18 Oct →
42%Best headshot accuracy · 13–5 · cache, 14 Aug →
438msFastest reaction time · 8–13 · mirage, 31 Aug →
13–2Biggest win · nuke, 5 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 57% over 7ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB209–1145%-0.02
nukeC177–1041%-0.00
cacheB168–850%0.00
infernoA116–555%-0.01
ancientD92–722%-0.02
dust2C94–544%0.00
officeA74–357%0.06
anubis—43–175%0.01
train—32–167%0.02
vertigo—20–20%-0.05
boulder—11–0100%0.03
shelter—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,763Lifetime kills
0.85K/D
2,712Matches
40.9%Match win rate
43.7%Headshot % · Top 50% of Blue band
7.5%Shot accuracy
4,500MVPs
787Hours (in match)
1,804Bombs planted
564Bombs defused

Most-used weapons

Lifetime map wins

2,407inferno
2,159nuke
1,870dust2
1,094office
996vertigo
607train
43italy
42lake

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

Faceit stats

Combat

35Matches
54%Win rate
0.98Avg K/D
69.6ADR
37%Headshot %

Clutches & streaks

50%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1479%1.0715.4
Nuke771%1.1415.9
Ancient425%0.6413.5
Train425%1.2817.5
Dust220%0.639.5
Inferno10%0.6210.0

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.

20.1%Headshot accuracy
38.1%Accuracy (enemy spotted)
38.2%Spray accuracy
84.1%Counter-strafing
9.4°Preaim
590msReaction time
46.8%T opening success
41.8%CT opening success
0.64Enemies flashed / flash
7.4%Flash assists
9.09HE damage / grenade
5.34Flashes / 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.039%2 Nov →
nuke13–90.1117%2 Nov →
mirage13–50.058%2 Nov →
nuke11–13-0.0318%2 Nov →
ancient13–100.0625%2 Nov →
anubis6–13-0.0211%30 Oct →
mirage10–13-0.0327%30 Oct →
ancient13–80.0520%30 Oct →
ancient12–12-0.067%30 Oct →
inferno13–7-0.0431%28 Oct →
vertigo2–13-0.0314%28 Oct →
ancient6–13-0.0625%26 Oct →
nuke13–8-0.0523%25 Oct →
ancient7–13-0.0119%25 Oct →
cache12–120.0417%25 Oct →
nuke11–13-0.0532%20 Oct →
inferno13–10-0.0419%20 Oct →
office13–3-0.0221%19 Oct →
cache5–13-0.0415%19 Oct →
mirage13–7-0.0226%18 Oct →
dust213–80.2023%18 Oct →
dust24–13-0.0520%12 Oct →
train9–13-0.0019%7 Oct →
train13–3-0.0133%7 Oct →
mirage7–130.0215%5 Oct →
inferno9–40.0832%24 Sept →
inferno9–13-0.0424%13 Sept →
cache16–14-0.0522%12 Sept →
ancient11–13-0.0216%6 Sept →
cache9–13-0.0423%6 Sept →
office5–130.0926%5 Sept →
cache5–130.0229%5 Sept →
nuke13–2-0.039%5 Sept →
inferno9–40.067%31 Aug →
mirage4–13-0.0219%31 Aug →
nuke12–120.0024%31 Aug →
mirage8–13-0.0529%31 Aug →
inferno8–80.0322%30 Aug →
inferno5–9-0.0225%30 Aug →
cache13–80.0825%30 Aug →
cache13–100.0223%26 Aug →
office6–10.0520%26 Aug →
inferno3–9-0.140%26 Aug →
anubis13–80.0137%23 Aug →
nuke3–13-0.0118%23 Aug →
mirage13–11-0.0115%23 Aug →
cache13–9-0.0120%22 Aug →
dust211–130.0122%22 Aug →
mirage7–13-0.0313%22 Aug →
inferno4–13-0.0420%18 Aug →
cache2–13-0.0422%17 Aug →
dust28–13-0.035%16 Aug →
nuke8–130.0325%16 Aug →
nuke13–90.0221%16 Aug →
cache13–50.0842%14 Aug →
cache10–13-0.0216%14 Aug →
anubis13–10-0.0014%11 Aug →
cache9–13-0.0222%11 Aug →
inferno13–40.0425%11 Aug →
ancient7–130.0015%10 Aug →
nuke13–6-0.0338%10 Aug →
mirage13–40.0419%10 Aug →
mirage5–13-0.0611%10 Aug →
anubis13–90.0426%10 Aug →
mirage5–13-0.0516%9 Aug →
mirage13–100.0018%9 Aug →
cache9–13-0.0326%9 Aug →
nuke11–13-0.0714%9 Aug →
mirage13–100.0018%9 Aug →
dust213–10-0.0113%5 Aug →
nuke13–90.0012%5 Aug →
office8–130.0430%4 Aug →
office11–130.0628%4 Aug →
mirage2–13-0.0422%4 Aug →
nuke8–13-0.0029%4 Aug →
mirage13–7-0.0519%4 Aug →
cache13–5-0.0114%3 Aug →
dust216–14-0.0319%3 Aug →
nuke13–11-0.0022%2 Aug →
mirage9–13-0.0422%2 Aug →
mirage4–13-0.0521%2 Aug →
cache13–50.0417%2 Aug →
mirage13–80.0225%2 Aug →
dust215–150.0218%2 Aug →
mirage10–13-0.0121%20 Jul →
boulder13–30.0313%15 Jul →
nuke11–13-0.0129%14 Jul →
dust28–13-0.097%14 Jul →
nuke11–130.0424%14 Jul →
vertigo7–13-0.0818%14 Jul →
ancient2–13-0.1211%14 Jul →
train13–100.0620%13 Jul →
dust213–8-0.0023%13 Jul →
inferno13–90.0119%12 Jul →
shelter13–100.0421%12 Jul →
mirage13–3-0.0814%12 Jul →
cache13–110.0115%9 Jul →
office13–90.1121%9 Jul →
office13–100.0739%9 Jul →
nuke12–12-0.0110%30 Jun →

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 →

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