Dr_Seuss

Dr_Seuss — CS2 Stats

SE76561198037942492[U:1:77676764]Steam profile ↗✓ No bans

501Tracked matches47%Win rate2020Tracked since
2,717Hours in CS18Hrs last 2 wks
CSDB Rating3.4 LearningSupport
Premier CS Rating4,898Grey band · top ~79.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 4,898 +40 15 Nov – 13 Oct · 12 days played
3,1685,120peak 5,12015 Nov13 Oct
5,120Peak Premier in tracked matches
48Days played since 2024-11-15

Premier CS Rating

  • 222 below peak (5,120)
  • Next: Light Blue band at 5,000 — 102 to go
  • Reached: 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 4 among CSDB-tracked players (n=14,247), 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 4 medianLevel 5 medianvs Level 5
Headshot rate43.2%42.7%43.7%meets
Shot accuracy16.4%11.3%12.0%above
Kill/death ratio1.100.991.02above
Match win rate42.2%43.9%44.7%2.5% short

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDr_SeussFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER4,898 · Grey 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

Aim32
Positioning42
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY35–62–3Last 10035%Win rateLWWLWWLLWW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −4.7pp headshot accuracy · −101ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 638ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 605ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 655ms

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 (+2.6 against its own average).

Aim3.2
Utility4.9
Positioning4.2
Opening Duels0.0
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

Twistzz

Plays most like Twistzz 68% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 41% on T to 26% on CT — first contacts on the defending side are being lost.

Reaction time. 641ms 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

Aim3.2
Positioning4.2
Utility4.9
Mechanics4.5
Opening Duels1.4
Win Impact3.9

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time649ms−93ms
first ⅓ avg 743ms → last ⅓ avg 649ms
Headshot accuracy15.8%−1.6%
first ⅓ avg 17.4% → last ⅓ avg 15.8%

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

0.12Best match rating · 9–3 · nuke, 11 Feb →
41%Best headshot accuracy · 8–13 · inferno, 18 Sept →
422msFastest reaction time · 13–10 · ancient, 17 Aug →
13–3Biggest win · anubis, 10 Jan →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 44% over 16ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC187–1139%-0.03
infernoC167–944%-0.02
ancientD133–1023%-0.01
nukeD124–833%-0.04
anubisC104–640%-0.04
dust2D93–633%-0.01
vertigoD72–529%-0.05
cache—43–175%-0.00
overpass—41–325%-0.04
debris—10–10%-0.05
train—10–10%-0.01
italy—10–10%-0.04
agency—10–10%0.02
grail—10–10%-0.06
brewery—10–10%0.07
whistle—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,396Lifetime kills
1.10K/D · Top 50% of Level 4 players
4,237Matches
42.2%Match win rate
43.2%Headshot % · Top 50% of Level 4 players
16.4%Shot accuracy · Top 25% of Level 4 players
10,825MVPs
1,743Hours (in match)
4,367Bombs planted
814Bombs defused

Most-used weapons

AK-4711,878
AWP6,577
Knife6,210
MP74,627
SSG 082,495

Lifetime map wins

3,994inferno
2,306nuke
1,866vertigo
1,383dust2
599train
549office
451italy
451dust

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

Faceit stats

Combat

15Matches
80%Win rate
0.66Avg K/D
52.9ADR
52%Headshot %

Clutches & streaks

20%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage580%0.628.8
Cache3100%0.5711.7
Vertigo250%0.9014.5
Dust2250%0.648.0
Anubis2100%0.436.5
Inferno1100%1.1317.0

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.

16.3%Headshot accuracy
28.2%Accuracy (enemy spotted)
30.6%Spray accuracy
70.2%Counter-strafing
12.2°Preaim
641msReaction time
41.1%T opening success
25.5%CT opening success
0.68Enemies flashed / flash
4.0%Flash assists
10.34HE damage / grenade
5.33Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2402° — above the 12° mark we flag

    Aim Training →
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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.114%13 Oct →
anubis13–4-0.0219%13 Oct →
nuke16–13-0.0616%8 Oct →
ancient10–13-0.047%8 Oct →
anubis13–7-0.0618%7 Oct →
inferno13–100.0113%24 Sept →
dust26–13-0.0812%24 Sept →
mirage7–13-0.0316%22 Sept →
cache16–13-0.0712%22 Sept →
mirage13–7-0.0119%21 Sept →
cache9–13-0.0917%20 Sept →
dust213–50.0111%20 Sept →
inferno8–13-0.0741%18 Sept →
ancient6–13-0.0329%18 Sept →
inferno6–13-0.0316%12 Sept →
ancient13–40.0618%12 Sept →
ancient3–13-0.0324%12 Sept →
nuke7–13-0.039%12 Sept →
debris8–8-0.0515%4 Sept →
inferno6–9-0.104%4 Sept →
ancient13–10-0.0214%3 Sept →
cache13–60.0421%3 Sept →
mirage13–5-0.0118%2 Sept →
anubis6–13-0.076%29 Aug →
cache13–50.1124%29 Aug →
ancient0–13-0.0211%29 Aug →
inferno13–100.0014%17 Aug →
ancient13–10-0.029%17 Aug →
mirage4–13-0.109%12 Aug →
inferno8–13-0.0525%12 Aug →
nuke9–13-0.0217%1 Aug →
ancient6–13-0.0120%25 Jun →
overpass11–13-0.0113%25 Jun →
inferno13–110.0211%22 Jun →
ancient10–130.0214%22 Jun →
nuke10–13-0.0618%22 Jun →
inferno9–5-0.0423%8 Aug →
ancient11–13-0.0211%13 Jul →
anubis6–13-0.0918%13 Jul →
nuke7–13-0.0823%10 Jul →
dust25–13-0.0623%10 Jul →
vertigo2–13-0.0925%10 Jul →
mirage6–130.019%9 Jul →
train3–13-0.0124%9 Jul →
italy0–13-0.049%9 Jul →
agency4–130.0215%9 Jul →
grail1–13-0.0620%9 Jul →
overpass13–10-0.017%9 Jul →
nuke13–4-0.0132%9 Jul →
ancient7–130.0114%8 Jul →
vertigo9–130.0011%8 Jul →
overpass8–13-0.029%8 Jul →
nuke13–4-0.0132%8 Jul →
anubis9–13-0.0524%19 Jun →
anubis9–13-0.0223%28 May →
brewery7–90.078%28 May →
dust25–130.0220%1 May →
inferno3–9-0.0217%12 Apr →
whistle9–4-0.0321%12 Apr →
nuke1–9-0.176%12 Apr →
ancient3–130.0214%2 Mar →
anubis13–50.0234%21 Feb →
mirage11–130.0020%20 Feb →
dust213–90.0316%13 Feb →
dust216–130.0417%11 Feb →
nuke9–30.1210%11 Feb →
vertigo8–8-0.063%11 Feb →
inferno7–90.0015%11 Feb →
overpass5–9-0.1213%11 Feb →
inferno16–130.0717%10 Feb →
mirage5–130.0428%10 Feb →
mirage10–130.0518%10 Feb →
inferno7–9-0.0619%6 Feb →
inferno13–11-0.0317%1 Feb →
mirage11–13-0.0021%1 Feb →
dust215–150.0216%1 Feb →
mirage3–12-0.0230%29 Jan →
inferno6–13-0.0235%18 Jan →
vertigo5–13-0.0320%18 Jan →
nuke6–13-0.0621%18 Jan →
inferno13–5-0.026%15 Jan →
mirage13–9-0.0615%15 Jan →
vertigo4–9-0.0913%15 Jan →
mirage13–9-0.059%13 Jan →
vertigo13–8-0.0314%13 Jan →
vertigo13–11-0.0217%12 Jan →
mirage13–60.025%12 Jan →
ancient8–13-0.0913%10 Jan →
anubis13–3-0.0014%10 Jan →
mirage16–12-0.038%9 Jan →
mirage4–13-0.0521%9 Jan →
mirage13–5-0.027%27 Dec →
dust21–130.0015%7 Dec →
dust28–13-0.0126%6 Dec →
nuke5–13-0.0135%6 Dec →
anubis3–130.0020%6 Dec →
anubis11–13-0.0520%21 Nov →
inferno8–13-0.0220%20 Nov →
mirage6–13-0.1219%20 Nov →
nuke2–11-0.069%15 Nov →

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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