SeaAnemoneEnemy

SeaAnemoneEnemy — CS2 Stats

US76561198144762750[U:1:184497022]Steam profile ↗✓ No bans

36Tracked matches44%Win rate2022Tracked since
819Hours in CS1Hrs last 2 wks
CSDB Rating2.7 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim18
Positioning29
Utility22

0–100 skill scores via Leetify.

Recent form

COLD14–15–6Last 3540%Win rateWTLLLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −6.5pp headshot accuracy · +27ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 714ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 11%
  • Avg reaction 678ms

Last 20

  • 7–9–4 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 665ms

Newest first, from the last 35 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 (+1.2 against its own average).

Aim1.8
Utility2.2
Positioning2.9
Opening Duels0.0

Strong CT-side openerLimited 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

donk

Plays most like donk 73% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 27% on CT to 6% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 704ms 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

Aim1.8
Positioning2.9
Utility2.2
Mechanics6.0
Opening Duels0.0
Win Impact3.0

Composite 2.7/10 (Learning), 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 rating-0.08−0.00
first ⅓ avg -0.07 → last ⅓ avg -0.08
Reaction time691ms−26ms
first ⅓ avg 717ms → last ⅓ avg 691ms
Headshot accuracy11.3%+2.4%
first ⅓ avg 8.8% → last ⅓ avg 11.3%

Rolling 5-match average across the last 35 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.01Best match rating · 12–12 · anubis, 6 Apr →
29%Best headshot accuracy · 1–13 · anubis, 23 Jun →
484msFastest reaction time · 2–4 · ancient, 23 Jun →
13–3Biggest win · nuke, 16 Jun →

Across the last 35 tracked matches.

Highlights

3Longest win streak
2Overtime games

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 0 of 12 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
nuke—43–175%-0.06
office—42–250%-0.06
dust2—41–325%-0.08
anubis—40–40%-0.07
train—41–325%-0.10
mirage—41–325%-0.06
vertigo—43–175%-0.05
cache—21–150%-0.05
grail—21–150%-0.07
ancient—10–10%-0.01
inferno—11–0100%-0.01
overpass—10–10%-0.09

Across the last 35 tracked matches.

Lifetime stats

9,600Lifetime kills
0.74K/D
1,085Matches
32.2%Match win rate
30.1%Headshot %
11.4%Shot accuracy
297MVPs
207Hours (in match)
111Bombs planted
38Bombs defused

Most-used weapons

Lifetime map wins

951dust2
458inferno
250nuke
204vertigo
121train
37office
29safehouse
19lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.0%Headshot accuracy
24.1%Accuracy (enemy spotted)
28.8%Spray accuracy
77.2%Counter-strafing
13.4°Preaim
704msReaction time
5.9%T opening success
27.4%CT opening success
0.27Enemies flashed / flash
6.2%Flash assists
6.72HE damage / grenade
2.35Flashes / 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 13.389° — above the 12° mark we flag

    Aim Training →
  2. 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 12.0043% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 704.223ms — above the 700ms mark we flag

    Aim Training →

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0611%4 Sept →
nuke12–12-0.025%4 Sept →
office5–13-0.117%4 Sept →
dust26–13-0.063%7 Jul →
cache4–13-0.0417%1 Jul →
ancient2–4-0.019%23 Jun →
anubis1–13-0.1229%23 Jun →
dust213–9-0.1214%23 Jun →
dust26–13-0.079%21 Jun →
train9–13-0.104%21 Jun →
train12–12-0.1416%21 Jun →
mirage9–13-0.0816%16 Jun →
inferno13–10-0.0122%16 Jun →
nuke13–3-0.0419%16 Jun →
vertigo13–6-0.0214%9 Jun →
anubis12–120.0118%6 Apr →
anubis12–12-0.118%6 Apr →
office13–7-0.0920%22 Mar →
office13–6-0.0016%22 Mar →
office4–13-0.0524%22 Mar →
anubis9–13-0.0610%9 Feb →
train11–13-0.097%6 Nov →
vertigo13–6-0.033%28 Oct →
vertigo13–3-0.066%28 Oct →
dust28–13-0.0715%17 Sept →
overpass8–13-0.0916%17 Sept →
train13–11-0.069%17 Sept →
grail13–8-0.109%27 Aug →
grail12–12-0.044%27 Aug →
vertigo6–13-0.097%12 Mar →
nuke13–9-0.147%12 Mar →
mirage13–11-0.0610%12 Mar →
mirage8–8-0.046%11 Mar →
mirage12–16-0.079%5 Aug →
nuke16–8-0.066%17 Jun →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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