Seek

Seek — CS2 Stats

DE76561198065827336[U:1:105561608]Steam profile ↗✓ No bans

1,449Tracked matches50%Win rate2020Tracked since
4,408Hours in CS10Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
Premier CS Rating21,630Top 50% of 211,494 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#60957 of 258432 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (7 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: 21,630 +1,740 2 Oct – 22 Oct · 9 days played
19,39022,347peak 22,3472 Oct22 Oct
22,449Peak Premier in tracked matches
38Days played since 2026-01-24

Premier CS Rating

  • 717 below peak (22,347)
  • Next: Red band at 25,000 — 3,370 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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate42.9%44.8%45.7%2.8% short
Shot accuracy18.8%12.4%12.7%above
Kill/death ratio0.801.031.050.25 short
Match win rate40.0%45.2%45.7%5.7% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSeekFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER21,630 · 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
Positioning63
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY41–49–10Last 10041%Win rateWLTLLLWWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −6.6pp headshot accuracy · −13ms 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 -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 553ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 539ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 545ms

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 (+1.7 against its own average).

Aim8.1
Utility5.7
Positioning6.3
Opening Duels2.4
Clutch4.0

Effective flashes

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

iM

Plays most like iM 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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 →

CSDB Rating breakdown

Aim8.1
Positioning6.3
Utility5.7
Mechanics6.8
Opening Duels2.8
Win Impact5.0

Composite 6.5/10 (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-0.02−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time536ms−58ms
first ⅓ avg 594ms → last ⅓ avg 536ms
Headshot accuracy17.9%−2.4%
first ⅓ avg 20.3% → last ⅓ avg 17.9%

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

0.14Best match rating · 12–12 · cache, 27 Jun →
50%Best headshot accuracy · 0–2 · mirage, 5 Jul →
375msFastest reaction time · 8–13 · cache, 4 Oct →
13–1Biggest win · nuke, 10 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–13In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 60% over 5anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC239–1439%-0.01
cacheC239–1439%0.02
dust2B2110–1148%-0.02
infernoC176–1135%-0.01
anubisD50–50%-0.02
ancientA53–260%-0.03
nuke—43–175%-0.00
poseidon—10–10%-0.08
overpass—11–0100%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

157,807Lifetime kills
0.80K/D
5,533Matches
40.0%Match win rate
42.9%Headshot %
18.8%Shot accuracy · Top 10% of Level 6 players
13,816MVPs
10,635Hours (in match)
4,496Bombs planted
1,195Bombs defused

Most-used weapons

AK-4750,560
AWP41,785
P2502,207
SSG 082,140
MP91,900
UMP-451,716

Lifetime map wins

8,809inferno
6,940dust2
1,514nuke
1,130train
765vertigo
398cbble
39lake
39stmarc

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

Faceit stats

Combat

551Matches
52%Win rate
1.19Avg K/D
87.8ADR
38%Headshot %

Clutches & streaks

40%1v1 clutch win
8%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1436%1.1119.2
Inferno1136%1.4718.3
Dust2956%1.3216.1
Anubis743%1.8218.1
Ancient714%1.0919.0
Nuke450%1.0015.0
Vertigo367%1.1012.3
Overpass2100%1.2515.0

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.

16.4%Headshot accuracy
34.8%Accuracy (enemy spotted)
40.9%Spray accuracy
80.4%Counter-strafing
7.6°Preaim
529msReaction time
37.2%T opening success
45.0%CT opening success
0.72Enemies flashed / flash
8.2%Flash assists
9.68HE damage / grenade
12.33Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.1837% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.0312%22 Oct →
dust23–13-0.1113%22 Oct →
mirage12–12-0.0410%20 Oct →
cache6–13-0.0312%20 Oct →
mirage2–7-0.0222%19 Oct →
anubis11–13-0.0410%16 Oct →
cache13–40.0518%16 Oct →
ancient16–14-0.039%16 Oct →
nuke6–13-0.0224%16 Oct →
nuke13–8-0.0218%16 Oct →
mirage11–13-0.0320%16 Oct →
inferno13–5-0.0121%16 Oct →
dust211–13-0.0723%15 Oct →
mirage11–130.0118%15 Oct →
poseidon8–8-0.0847%13 Oct →
dust216–120.0018%10 Oct →
dust213–9-0.0324%10 Oct →
inferno7–130.0123%10 Oct →
mirage13–80.0315%10 Oct →
dust216–12-0.066%10 Oct →
inferno13–70.046%10 Oct →
mirage13–50.0226%10 Oct →
nuke13–10.0419%10 Oct →
anubis9–13-0.007%9 Oct →
anubis6–13-0.0022%9 Oct →
cache13–11-0.0115%9 Oct →
cache16–130.0420%9 Oct →
anubis14–160.028%9 Oct →
cache12–12-0.0325%6 Oct →
cache8–13-0.0026%4 Oct →
anubis0–3-0.080%4 Oct →
dust26–13-0.0718%4 Oct →
inferno11–13-0.0236%4 Oct →
mirage16–13-0.017%3 Oct →
mirage4–13-0.0610%3 Oct →
inferno10–13-0.016%3 Oct →
dust213–90.0518%3 Oct →
cache4–13-0.0717%3 Oct →
mirage0–13-0.0313%2 Oct →
nuke13–7-0.0132%2 Oct →
cache13–9-0.0811%2 Oct →
mirage13–9-0.0111%23 Sept →
inferno13–60.0817%23 Sept →
dust211–130.0616%21 Sept →
inferno13–110.0018%20 Sept →
ancient13–6-0.0122%20 Sept →
mirage13–30.0014%20 Sept →
dust211–130.0115%20 Sept →
inferno3–40.0025%13 Sept →
dust21–13-0.0435%13 Sept →
cache13–110.0224%12 Sept →
cache13–3-0.038%12 Sept →
inferno7–13-0.0718%12 Sept →
inferno13–8-0.0027%11 Sept →
dust213–90.0013%11 Sept →
dust212–16-0.0323%11 Sept →
cache5–130.0224%11 Sept →
inferno10–13-0.0217%14 Aug →
inferno9–13-0.038%12 Jul →
inferno6–13-0.108%12 Jul →
dust211–13-0.0220%12 Jul →
mirage7–13-0.0110%12 Jul →
dust20–13-0.094%10 Jul →
inferno13–11-0.0014%9 Jul →
mirage13–110.0116%9 Jul →
cache12–12-0.0222%8 Jul →
mirage3–13-0.1215%5 Jul →
dust210–130.0213%5 Jul →
mirage0–2-0.0250%5 Jul →
inferno14–16-0.0020%5 Jul →
dust213–90.0023%2 Jul →
mirage13–60.1314%2 Jul →
cache2–13-0.0115%2 Jul →
dust212–16-0.0316%1 Jul →
mirage13–90.0628%1 Jul →
cache12–120.1425%27 Jun →
mirage12–120.0122%27 Jun →
cache11–130.1021%27 Jun →
dust213–70.0726%27 Jun →
dust216–120.0114%21 Jun →
cache12–120.0912%5 Jun →
cache12–120.0312%18 May →
cache13–10-0.0119%18 May →
cache13–50.0014%18 May →
cache6–130.0926%15 May →
cache13–9-0.0128%15 May →
cache9–130.0825%8 May →
cache4–130.0924%8 May →
mirage6–13-0.0810%28 Mar →
inferno2–13-0.0629%28 Mar →
ancient13–8-0.0124%10 Feb →
mirage7–13-0.0513%7 Feb →
mirage15–150.0121%1 Feb →
ancient6–13-0.0511%1 Feb →
mirage2–13-0.0314%1 Feb →
ancient4–13-0.0529%1 Feb →
inferno15–15-0.0214%30 Jan →
overpass13–100.0516%30 Jan →
dust216–14-0.0327%30 Jan →
dust216–140.0116%24 Jan →

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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