Sk00t

Sk00t — CS2 Stats

SE76561198009411881[U:1:49146153]Steam profile ↗✓ No bans

1,005Tracked matches68%Win rate2020Tracked since
2,644Hours in CS65Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating14,478Blue band · top ~31.2% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 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: 14,478 +2,857 1 Sept – 28 Oct · 22 days played
10,05314,478peak 14,4781 Sept28 Oct
14,637Peak Premier in tracked matches
19Days played since 2026-09-01

Premier CS Rating

  • At peak — 14,478
  • +3,389 over 30 days · improving
  • Next: Purple band at 15,000 — 522 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate54.6%42.0%44.4%above
Shot accuracy11.4%9.6%11.9%0.5% short
Kill/death ratio0.840.981.030.19 short
Match win rate36.0%43.8%45.2%9.2% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGSk00tPREMIER14,478 · Blue bandcsdb.gg/stats

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Performance scores

Aim69
Positioning54
Utility53

0–100 skill scores via Leetify.

Recent form

HOT52–43–5Last 10052%Win rateWWWLLLWWWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −2.1pp headshot accuracy · +72ms 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 -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 702ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 606ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

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 (+1.2 against its own average).

Aim6.9
Utility5.3
Positioning5.4
Opening Duels1.9

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 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Areas to improve

Reaction time. 559ms 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

Aim6.9
Positioning5.4
Utility5.3
Mechanics6.6
Opening Duels3.3
Win Impact10.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time554ms−21ms
first ⅓ avg 575ms → last ⅓ avg 554ms
Headshot accuracy20.4%+1.3%
first ⅓ avg 19.1% → last ⅓ avg 20.4%

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 · 13–9 · ancient, 28 Oct →
46%Best headshot accuracy · 13–8 · dust2, 24 Oct →
406msFastest reaction time · 11–13 · dust2, 16 Oct →
13–1Biggest win · cache, 23 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
9–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 64% over 14anubisWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B1910–953%-0.00
infernoB179–853%0.01
anubisC176–1135%-0.01
ancientA149–564%0.02
nukeA138–562%0.01
mirageC125–742%-0.00
cacheA85–363%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,701Lifetime kills
0.84K/D
4,386Matches
36.0%Match win rate
54.6%Headshot % · Top 10% of Blue band
11.4%Shot accuracy · Top 50% of Blue band
7,627MVPs
3,378Hours (in match)
3,861Bombs planted
1,182Bombs defused

Most-used weapons

AK-4724,731
AWP13,278
P2503,359
SSG 082,209
Tec-92,199

Lifetime map wins

5,656dust2
5,395inferno
3,524nuke
3,006cbble
1,260train
455italy
311vertigo
152lake

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.

20.8%Headshot accuracy
33.7%Accuracy (enemy spotted)
34.6%Spray accuracy
79.7%Counter-strafing
10.9°Preaim
559msReaction time
49.3%T opening success
37.4%CT opening success
0.63Enemies flashed / flash
6.4%Flash assists
7.70HE damage / grenade
6.91Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.4381% — 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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–4-0.0224%28 Oct →
dust213–90.0222%28 Oct →
ancient13–9-0.0113%28 Oct →
nuke14–16-0.0518%28 Oct →
mirage11–13-0.0511%28 Oct →
inferno10–130.0712%28 Oct →
anubis13–50.0217%28 Oct →
ancient13–90.1217%28 Oct →
dust213–8-0.0127%27 Oct →
anubis13–8-0.0321%27 Oct →
inferno13–100.0320%27 Oct →
inferno13–6-0.0012%27 Oct →
nuke16–130.0629%27 Oct →
mirage8–13-0.0618%25 Oct →
inferno13–110.0118%25 Oct →
cache5–13-0.0920%25 Oct →
inferno15–15-0.0333%25 Oct →
ancient13–9-0.0723%25 Oct →
nuke13–80.0320%24 Oct →
cache13–6-0.009%24 Oct →
dust213–80.0746%24 Oct →
ancient9–130.0020%24 Oct →
mirage10–130.0420%24 Oct →
anubis15–150.0623%24 Oct →
inferno6–130.0620%24 Oct →
dust216–14-0.0117%24 Oct →
dust212–16-0.0119%24 Oct →
nuke13–110.0616%24 Oct →
nuke13–7-0.0218%24 Oct →
ancient13–40.1041%23 Oct →
anubis13–50.0423%23 Oct →
dust213–100.019%23 Oct →
cache15–150.0017%23 Oct →
dust27–13-0.0514%23 Oct →
inferno13–9-0.0123%23 Oct →
mirage6–13-0.0427%23 Oct →
dust27–13-0.0216%23 Oct →
anubis9–13-0.0525%23 Oct →
anubis11–130.0122%23 Oct →
nuke13–80.0725%23 Oct →
cache13–10.0125%23 Oct →
nuke7–13-0.0320%23 Oct →
nuke16–120.0222%23 Oct →
mirage13–110.0425%22 Oct →
inferno13–70.0025%22 Oct →
cache13–8-0.0030%22 Oct →
ancient9–13-0.0532%22 Oct →
dust26–13-0.0418%22 Oct →
ancient13–11-0.0014%22 Oct →
cache9–13-0.0126%22 Oct →
ancient7–130.0317%22 Oct →
dust213–60.0030%19 Oct →
nuke7–13-0.0320%19 Oct →
anubis13–80.0213%19 Oct →
dust213–100.0217%19 Oct →
inferno13–10.0617%19 Oct →
anubis9–13-0.0119%17 Oct →
nuke7–130.0916%17 Oct →
inferno11–130.0427%17 Oct →
anubis3–13-0.079%17 Oct →
ancient13–11-0.0114%17 Oct →
dust211–13-0.0023%17 Oct →
ancient13–50.0621%17 Oct →
anubis1–13-0.1018%16 Oct →
anubis8–13-0.0635%16 Oct →
ancient13–100.0116%16 Oct →
dust211–130.0020%16 Oct →
mirage13–1-0.0211%16 Oct →
nuke13–11-0.0529%16 Oct →
dust216–13-0.0123%16 Oct →
dust213–60.0126%16 Oct →
mirage13–80.0322%16 Oct →
dust29–13-0.0516%15 Oct →
inferno13–7-0.0517%13 Oct →
dust212–16-0.0224%10 Oct →
mirage13–100.0118%10 Oct →
anubis13–40.0117%10 Oct →
inferno12–16-0.0642%10 Oct →
ancient7–13-0.0414%9 Oct →
inferno13–20.0622%9 Oct →
inferno8–13-0.0020%9 Oct →
dust27–13-0.0220%9 Oct →
ancient4–130.0429%9 Oct →
nuke8–13-0.0422%8 Oct →
mirage13–50.1118%8 Oct →
dust213–100.0714%8 Oct →
anubis11–13-0.0712%2 Oct →
mirage15–150.0326%2 Oct →
inferno13–11-0.0115%1 Oct →
inferno3–13-0.0318%1 Oct →
anubis6–130.0315%1 Oct →
cache13–110.0315%1 Oct →
mirage10–13-0.0319%29 Sept →
anubis9–13-0.0313%29 Sept →
inferno15–15-0.0019%29 Sept →
ancient13–70.0523%29 Sept →
mirage8–13-0.048%28 Sept →
anubis9–13-0.008%28 Sept →
anubis13–70.1025%26 Sept →
nuke13–30.0112%26 Sept →

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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