orchid

orchid — CS2 Stats

CA76561198949077919[U:1:988812191]Steam profile ↗✓ No bans

971Tracked matches57%Win rate2022Tracked since
1,274Hours in CS35Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating20,739Top 50% of 205,416 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#70742 of 252484 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−300Premier CS Rating · 21,039 → 20,739

Rating over time

Premier CS Rating: 20,739 +342 7 Sept – 17 Oct · 21 days played
19,77621,469peak 21,4697 Sept17 Oct
21,577Peak Premier in tracked matches
56Days played since 2026-07-11

Premier CS Rating

  • 730 below peak (21,469)
  • -730 over 30 days · declining
  • Next: Red band at 25,000 — 4,261 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 Level 5 among CSDB-tracked players (n=13,934), 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 5 medianLevel 6 medianvs Level 6
Headshot rate75.4%43.7%44.8%above
Shot accuracy3.3%12.0%12.4%9.2% short
Kill/death ratio1.941.021.03above
Match win rate50.5%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGorchidFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER20,739 · Pink 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

Aim81
Positioning48
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateLLWWWWLWLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.3pp headshot accuracy · +51ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 509ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 563ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 538ms

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 (+2.5 against its own average).

Aim8.1
Utility1.3
Positioning4.8
Opening Duels0.0
Clutch3.0

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

b1t

Plays most like b1t 73% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 43% on T to 24% on CT — first contacts on the defending side are being lost.

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
Positioning4.8
Utility1.3
Mechanics7.3
Opening Duels1.6
Win Impact7.2

Composite 5.7/10 (Solid), 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-0.03+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time544ms−14ms
first ⅓ avg 559ms → last ⅓ avg 544ms
Headshot accuracy11.8%+0.6%
first ⅓ avg 11.1% → last ⅓ avg 11.8%

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

0.18Best match rating · 13–2 · mirage, 13 Sept →
32%Best headshot accuracy · 13–2 · mirage, 13 Sept →
367msFastest reaction time · 13–7 · anubis, 2 Oct →
13–1Biggest win · mirage, 11 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
9–13In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 75% over 20dust2Weakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageS2015–575%0.00
ancientC166–1038%-0.02
anubisC146–843%-0.02
dust2C145–936%-0.06
nukeB136–746%-0.02
cacheC83–538%-0.02
infernoC73–443%-0.05
train—20–20%-0.04
fachwerk—21–150%-0.08
overpass—11–0100%-0.04
vertigo—11–0100%-0.08
poseidon—10–10%-0.29
debris—10–10%-0.15

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,871Lifetime kills
1.94K/D · Top 5% of Level 5 players
1,191Matches
50.5%Match win rate · Top 25% of Level 5 players
75.4%Headshot % · Top 1% of Level 5 players
3.3%Shot accuracy
2,191MVPs
457Hours (in match)
1,092Bombs planted
254Bombs defused

Most-used weapons

Lifetime map wins

1,814nuke
1,069inferno
835dust2
634vertigo
286train
59lake
53cbble
13office

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

Faceit stats

Combat

272Matches
52%Win rate
0.94Avg K/D
75.9ADR
34%Headshot %

Clutches & streaks

35%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis5968%1.0416.3
Ancient5443%0.9614.9
Nuke4959%1.0115.1
Mirage3644%0.8314.0
Vertigo2352%0.9315.3
Dust21937%0.7112.0
Inferno1747%0.9113.2
Overpass838%0.6611.1

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.

11.8%Headshot accuracy
39.8%Accuracy (enemy spotted)
43.0%Spray accuracy
82.8%Counter-strafing
9.0°Preaim
533msReaction time
42.9%T opening success
24.1%CT opening success
0.29Enemies flashed / flash
0.7%Flash assists
3.69HE damage / grenade
1.70Flashes / 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 11.7751% — 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 0.2894 — 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 24.0809% — below the 40% mark we flag

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.

36% win rate across 14 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
anubis7–13-0.088%17 Oct →
cache10–13-0.0411%16 Oct →
nuke13–90.0114%15 Oct →
anubis16–140.0611%13 Oct →
dust213–70.0220%13 Oct →
overpass13–5-0.0411%12 Oct →
cache2–13-0.0314%11 Oct →
dust213–11-0.0120%11 Oct →
nuke4–130.0114%11 Oct →
anubis13–90.028%11 Oct →
ancient13–90.0013%11 Oct →
anubis7–13-0.0517%10 Oct →
mirage13–10-0.028%9 Oct →
cache13–90.0712%9 Oct →
ancient13–11-0.0212%9 Oct →
mirage13–8-0.0311%8 Oct →
ancient13–110.0611%8 Oct →
nuke17–19-0.046%7 Oct →
dust28–13-0.0717%7 Oct →
cache11–13-0.0512%7 Oct →
anubis8–13-0.0512%4 Oct →
mirage13–10-0.0514%4 Oct →
dust216–12-0.0711%3 Oct →
mirage13–9-0.057%3 Oct →
anubis13–7-0.029%2 Oct →
mirage2–13-0.064%1 Oct →
cache5–13-0.0410%1 Oct →
inferno13–10-0.069%1 Oct →
dust211–13-0.1019%30 Sept →
ancient5–13-0.129%30 Sept →
mirage13–7-0.0016%30 Sept →
nuke9–13-0.0311%29 Sept →
nuke9–13-0.057%24 Sept →
mirage13–100.0310%24 Sept →
nuke10–13-0.059%24 Sept →
dust211–13-0.0519%23 Sept →
nuke13–40.0119%23 Sept →
dust28–13-0.1010%22 Sept →
train2–13-0.0419%21 Sept →
ancient5–13-0.0715%20 Sept →
anubis13–7-0.0118%17 Sept →
ancient8–13-0.0322%14 Sept →
mirage13–100.0018%14 Sept →
mirage13–20.1832%13 Sept →
ancient7–130.0525%13 Sept →
mirage13–9-0.0329%13 Sept →
anubis15–15-0.0113%13 Sept →
mirage13–100.0113%13 Sept →
mirage8–130.0032%11 Sept →
nuke13–50.057%11 Sept →
ancient6–13-0.0311%11 Sept →
dust210–13-0.0210%11 Sept →
mirage16–140.0014%11 Sept →
nuke13–60.0216%9 Sept →
mirage16–130.0110%9 Sept →
ancient14–16-0.0312%8 Sept →
mirage10–130.018%7 Sept →
nuke13–6-0.0814%7 Sept →
dust211–13-0.083%4 Sept →
inferno6–13-0.0416%4 Sept →
inferno9–13-0.085%3 Sept →
inferno6–9-0.067%2 Sept →
anubis13–8-0.035%30 Aug →
nuke13–80.0023%29 Aug →
ancient13–90.036%29 Aug →
anubis8–13-0.038%27 Aug →
dust22–13-0.0713%27 Aug →
mirage11–13-0.0919%26 Aug →
anubis11–13-0.064%26 Aug →
dust28–13-0.089%23 Aug →
fachwerk13–4-0.075%22 Aug →
cache13–6-0.0418%22 Aug →
mirage13–30.0518%20 Aug →
ancient9–130.007%19 Aug →
ancient11–13-0.037%18 Aug →
vertigo13–11-0.0812%17 Aug →
train11–13-0.036%17 Aug →
ancient10–13-0.037%15 Aug →
nuke14–16-0.0716%15 Aug →
ancient13–7-0.0213%15 Aug →
cache13–100.049%14 Aug →
dust26–13-0.1113%14 Aug →
ancient11–13-0.0217%13 Aug →
dust213–4-0.031%11 Aug →
mirage11–130.0210%10 Aug →
inferno13–110.0113%7 Aug →
poseidon0–9-0.2914%29 Jul →
debris3–9-0.1511%29 Jul →
mirage13–2-0.024%28 Jul →
inferno7–13-0.0715%22 Jul →
fachwerk7–13-0.0910%21 Jul →
anubis13–70.0319%21 Jul →
anubis4–13-0.096%20 Jul →
inferno13–10-0.0514%17 Jul →
nuke2–13-0.0918%17 Jul →
dust216–14-0.0514%15 Jul →
anubis10–13-0.016%14 Jul →
ancient13–11-0.048%11 Jul →
cache9–13-0.059%11 Jul →
mirage13–10.1012%11 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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