Psydoc

Psydoc — CS2 Stats

76561198020528050[U:1:60262322]Steam profile ↗✓ No bans

1,750Tracked matches48%Win rate2021Tracked since
2,489Hours in CS46Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating16,448Purple band · top ~22.6% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 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: 16,448 -423 7 Aug – 1 Nov · 37 days played
16,24618,667peak 18,6677 Aug1 Nov
18,776Peak Premier in tracked matches
38Days played since 2026-08-07

Premier CS Rating

  • 2,219 below peak (18,667)
  • -865 over 30 days · declining
  • -423 over 90 days
  • Next: Pink band at 20,000 — 3,552 to go
  • Reached: 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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate52.6%45.7%46.8%above
Shot accuracy7.1%12.7%13.0%5.9% short
Kill/death ratio1.021.051.060.04 short
Match win rate40.6%45.7%46.3%5.7% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPsydocFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER16,448 · Purple 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

Aim77
Positioning57
Utility61

0–100 skill scores via Leetify.

Recent form

COLD45–51–4Last 10045%Win rateLLWTLLLWWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −2.2pp headshot accuracy · +59ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 558ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 588ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 558ms

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 (+1.5 against its own average).

Aim7.7
Utility6.1
Positioning5.7
Opening Duels4.2
Clutch2.4

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

Twistzz

Plays most like Twistzz 92% 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 561ms 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

Aim7.7
Positioning5.7
Utility6.1
Mechanics5.6
Opening Duels6.6
Win Impact4.4

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time558ms−19ms
first ⅓ avg 577ms → last ⅓ avg 558ms
Headshot accuracy16.6%−1.2%
first ⅓ avg 17.8% → last ⅓ avg 16.6%

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 · 13–0 · cache, 25 Oct →
35%Best headshot accuracy · 13–11 · dust2, 28 Sept →
398msFastest reaction time · 13–6 · inferno, 13 Sept →
13–0Biggest win · cache, 25 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
11–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 57% over 14infernoWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
infernoD217–1433%-0.02
cacheC198–1142%0.02
mirageB168–850%0.01
nukeA148–657%0.00
dust2C135–838%-0.03
ancientA95–456%0.01
anubisC73–443%-0.01
overpass—11–0100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,807Lifetime kills
1.02K/D
3,427Matches
40.6%Match win rate
52.6%Headshot % · Top 25% of Level 7 players
7.1%Shot accuracy
6,214MVPs
1,393Hours (in match)
3,774Bombs planted
806Bombs defused

Most-used weapons

AK-4722,119
AWP7,846
MP92,662
FAMAS2,269
MAC-101,483

Lifetime map wins

8,025inferno
3,588nuke
3,151dust2
1,317vertigo
542train
41office
19italy
17cbble

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

Faceit stats

Combat

120Matches
56%Win rate
0.89Avg K/D
71.3ADR
50%Headshot %

Clutches & streaks

32%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4257%1.0014.9
Ancient2650%0.8612.3
Cache2264%0.8712.9
Dust21638%0.7210.8
Anubis580%0.8613.6
Overpass475%0.6310.3
Nuke367%0.8413.3
Inferno1100%1.3619.0

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.

16.7%Headshot accuracy
40.2%Accuracy (enemy spotted)
38.6%Spray accuracy
75.0%Counter-strafing
9.1°Preaim
561msReaction time
65.7%T opening success
47.4%CT opening success
0.58Enemies flashed / flash
4.7%Flash assists
13.15HE damage / grenade
9.78Flashes / match

Recommended for you

Spend your practice time on Inferno

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

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0721%1 Nov →
nuke8–13-0.0318%1 Nov →
nuke13–40.0311%1 Nov →
dust215–15-0.048%30 Oct →
cache9–13-0.0324%29 Oct →
inferno6–130.0315%29 Oct →
dust26–130.0318%28 Oct →
cache13–110.0212%28 Oct →
mirage13–30.1022%28 Oct →
mirage7–130.0419%27 Oct →
inferno2–13-0.0520%27 Oct →
mirage4–13-0.0222%27 Oct →
inferno13–11-0.0115%27 Oct →
cache4–130.0517%26 Oct →
anubis13–60.0215%26 Oct →
mirage9–13-0.0724%26 Oct →
nuke13–100.0115%26 Oct →
inferno6–13-0.1032%25 Oct →
cache11–130.0112%25 Oct →
cache13–60.0618%25 Oct →
inferno13–16-0.0112%25 Oct →
cache13–00.119%25 Oct →
nuke9–130.0111%24 Oct →
ancient13–11-0.0015%24 Oct →
cache7–130.0211%23 Oct →
mirage13–90.0519%23 Oct →
mirage13–100.0716%23 Oct →
anubis13–10-0.0321%23 Oct →
mirage13–8-0.0016%23 Oct →
cache13–90.0821%23 Oct →
nuke13–90.018%23 Oct →
ancient5–13-0.0213%22 Oct →
dust213–110.0117%22 Oct →
cache14–160.0124%22 Oct →
inferno4–13-0.0515%22 Oct →
inferno3–130.0013%21 Oct →
mirage13–11-0.0219%19 Oct →
inferno13–70.0416%19 Oct →
overpass9–70.0624%18 Oct →
nuke13–50.0712%18 Oct →
dust210–13-0.0117%16 Oct →
ancient10–130.038%14 Oct →
mirage8–130.019%14 Oct →
nuke14–16-0.0319%13 Oct →
dust213–4-0.0113%13 Oct →
cache13–11-0.0618%11 Oct →
cache13–110.0323%8 Oct →
anubis15–15-0.0514%7 Oct →
cache13–70.0115%7 Oct →
mirage5–130.0222%6 Oct →
nuke13–70.0517%6 Oct →
cache13–160.0422%2 Oct →
cache6–130.0310%29 Sept →
nuke13–60.0928%29 Sept →
nuke4–13-0.0217%28 Sept →
dust23–13-0.0711%28 Sept →
dust213–11-0.0135%28 Sept →
ancient13–5-0.0112%28 Sept →
dust213–11-0.1112%27 Sept →
mirage3–13-0.0114%26 Sept →
inferno9–130.0119%26 Sept →
cache8–13-0.0321%26 Sept →
inferno5–13-0.1021%26 Sept →
cache15–150.0025%26 Sept →
ancient13–4-0.029%26 Sept →
dust26–13-0.0412%26 Sept →
inferno9–130.0214%26 Sept →
nuke9–3-0.0320%26 Sept →
ancient11–130.0618%25 Sept →
inferno1–13-0.0915%25 Sept →
inferno13–50.0618%25 Sept →
inferno13–70.0216%25 Sept →
inferno6–13-0.0424%25 Sept →
anubis15–150.0211%25 Sept →
nuke13–70.0528%25 Sept →
inferno6–130.0218%25 Sept →
cache6–130.0413%23 Sept →
anubis6–13-0.0710%23 Sept →
mirage13–8-0.0717%23 Sept →
mirage13–160.0613%23 Sept →
anubis11–13-0.0016%22 Sept →
nuke7–13-0.1112%21 Sept →
mirage11–13-0.0222%21 Sept →
nuke13–16-0.0533%20 Sept →
ancient13–80.0725%20 Sept →
cache13–70.0722%20 Sept →
dust29–130.0114%16 Sept →
inferno13–6-0.1112%15 Sept →
ancient13–60.0213%15 Sept →
dust213–5-0.0410%13 Sept →
inferno8–13-0.0525%13 Sept →
inferno13–60.0818%13 Sept →
cache8–13-0.0015%12 Aug →
ancient6–13-0.0710%12 Aug →
inferno13–11-0.0516%11 Aug →
anubis13–30.0524%10 Aug →
inferno4–13-0.125%9 Aug →
mirage16–13-0.0028%9 Aug →
mirage13–70.0116%9 Aug →
dust210–130.0029%7 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.