kratomhigh

kratomhigh — CS2 Stats

CZ76561198360682541[U:1:400416813]Steam profile ↗✓ No bans

921Tracked matches56%Win rate2020Tracked since
3,412Hours in CS54Hrs last 2 wks
CSDB Rating6.1 SolidSupport
Premier CS Rating24,437Top 25% of 206,528 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)
CSDB Leaderboard#27692 of 253846 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 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: 24,437 +3,718 31 Aug – 18 Oct · 13 days played
20,71924,437peak 24,43731 Aug18 Oct
24,792Peak Premier in tracked matches
25Days played since 2026-08-31

Premier CS Rating

  • At peak — 24,437
  • +2,696 over 30 days · improving
  • Next: Red band at 25,000 — 563 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate38.5%46.9%49.3%10.7% short
Shot accuracy9.8%13.0%13.4%3.5% short
Kill/death ratio0.981.081.120.14 short
Match win rate39.8%46.7%48.5%8.7% short

This profile sits below the typical Red band player on every metric we can compare.

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

Share this profile

CSDB.GGkratomhighPREMIER24,437 · Pink bandcsdb.gg/stats

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Performance scores

Aim67
Positioning55
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateLWWWLTLWTL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +1.9pp headshot accuracy · −31ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 480ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 485ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 500ms

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 (+2.3 against its own average).

Aim6.7
Utility6.4
Positioning5.5
Opening Duels4.5
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

m0NESY

Plays most like m0NESY 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 43% on CT — first contacts on the defending side are being lost.

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

Aim6.7
Positioning5.5
Utility6.4
Mechanics4.5
Opening Duels5.7
Win Impact6.9

Composite 6.1/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time493ms+15ms
first ⅓ avg 479ms → last ⅓ avg 493ms
Headshot accuracy14.4%−1.2%
first ⅓ avg 15.6% → last ⅓ avg 14.4%

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

0.21Best match rating · 13–1 · train, 7 Oct →
47%Best headshot accuracy · 13–1 · train, 7 Oct →
320msFastest reaction time · 1–13 · dust2, 23 Sept →
13–0Biggest win · inferno, 30 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 75% over 16ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
cacheA1710–759%0.03
anubisS1612–475%0.02
infernoB158–753%0.02
ancientC125–742%0.02
nukeC73–443%0.03
dust2C73–443%-0.01
mirageA74–357%0.04
trainB63–350%0.04
boulderA53–260%0.06
overpass—31–233%0.05
vertigo—30–30%0.02
eldorado—11–0100%0.08
rush_001—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

104,914Lifetime kills
0.98K/D
5,094Matches
39.8%Match win rate
38.5%Headshot %
9.8%Shot accuracy
11,862MVPs
2,940Hours (in match)
2,330Bombs planted
1,390Bombs defused

Most-used weapons

AK-4730,749
AWP22,257
MP92,185
SSG 081,554
MAC-101,408

Lifetime map wins

10,519inferno
4,977nuke
3,446train
2,616dust2
2,046vertigo
293cbble
173office
132italy

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

Faceit stats

Combat

2Matches
50%Win rate
1.11Avg K/D
65.8ADR
28%Headshot %

Clutches & streaks

0%1v1 clutch win
100%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21100%1.4619.0
Nuke10%0.7613.0

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.

13.9%Headshot accuracy
33.0%Accuracy (enemy spotted)
34.7%Spray accuracy
70.4%Counter-strafing
8.1°Preaim
496msReaction time
62.5%T opening success
43.4%CT opening success
0.54Enemies flashed / flash
6.6%Flash assists
11.43HE 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. 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 13.8824% — below the 15% 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.038%18 Oct →
inferno13–50.0712%18 Oct →
anubis13–40.1316%18 Oct →
cache13–100.0017%18 Oct →
cache6–130.0015%16 Oct →
overpass12–120.0613%16 Oct →
train1–13-0.0923%16 Oct →
inferno13–90.0412%16 Oct →
anubis15–150.0312%15 Oct →
dust211–13-0.0126%14 Oct →
ancient13–8-0.0224%14 Oct →
mirage13–50.057%14 Oct →
anubis13–11-0.0119%14 Oct →
dust213–6-0.058%14 Oct →
overpass13–20.1221%14 Oct →
anubis13–20.1215%14 Oct →
boulder13–60.0912%13 Oct →
nuke4–130.076%13 Oct →
train3–80.0412%13 Oct →
mirage12–120.0112%13 Oct →
anubis13–60.0119%12 Oct →
ancient13–10-0.028%12 Oct →
inferno13–110.018%12 Oct →
cache11–13-0.0120%12 Oct →
eldorado9–60.0818%12 Oct →
ancient4–130.069%12 Oct →
anubis8–13-0.079%12 Oct →
inferno3–130.0710%12 Oct →
boulder7–130.0318%11 Oct →
inferno6–13-0.0710%11 Oct →
inferno13–40.0715%9 Oct →
rush_0013–7-0.0827%8 Oct →
inferno5–11-0.0714%8 Oct →
cache13–60.056%8 Oct →
mirage4–130.0014%8 Oct →
train8–30.0919%7 Oct →
vertigo12–120.0619%7 Oct →
cache7–13-0.0712%7 Oct →
train13–10.2147%7 Oct →
anubis13–7-0.0120%6 Oct →
cache12–120.0413%6 Oct →
vertigo2–130.015%6 Oct →
train13–50.0519%5 Oct →
ancient6–130.0611%5 Oct →
inferno5–13-0.0626%5 Oct →
nuke13–70.0712%5 Oct →
inferno12–120.098%5 Oct →
mirage13–110.1111%2 Oct →
ancient7–13-0.0114%2 Oct →
anubis13–5-0.056%2 Oct →
anubis7–130.0112%2 Oct →
ancient13–30.0818%2 Oct →
ancient13–110.0511%1 Oct →
cache6–130.0110%1 Oct →
inferno13–100.0316%1 Oct →
boulder9–130.0023%30 Sept →
inferno13–00.1338%30 Sept →
dust213–50.0510%30 Sept →
cache9–13-0.0618%30 Sept →
cache13–60.1613%29 Sept →
cache0–5-0.0810%29 Sept →
mirage13–100.0816%29 Sept →
train5–13-0.0614%25 Sept →
inferno13–100.0114%25 Sept →
cache13–50.023%25 Sept →
anubis13–11-0.0015%24 Sept →
boulder13–70.0920%24 Sept →
boulder13–40.0712%24 Sept →
ancient5–130.0013%24 Sept →
cache13–40.2118%24 Sept →
inferno8–130.0213%24 Sept →
dust29–13-0.0319%24 Sept →
nuke7–13-0.0120%24 Sept →
dust21–13-0.0127%23 Sept →
cache13–40.1017%23 Sept →
anubis13–6-0.0317%23 Sept →
dust21–13-0.0818%23 Sept →
dust213–70.0414%23 Sept →
inferno8–13-0.0719%22 Sept →
ancient9–13-0.017%22 Sept →
anubis16–120.0611%21 Sept →
cache10–40.0827%21 Sept →
anubis13–11-0.0016%21 Sept →
ancient13–11-0.0421%21 Sept →
nuke13–70.0514%21 Sept →
overpass3–13-0.0211%20 Sept →
anubis7–130.0620%20 Sept →
cache13–100.0317%19 Sept →
nuke13–100.0823%19 Sept →
ancient1–130.0112%19 Sept →
nuke3–13-0.0117%18 Sept →
inferno13–30.0618%18 Sept →
mirage13–60.075%18 Sept →
cache13–100.0220%18 Sept →
vertigo12–12-0.0213%17 Sept →
mirage2–13-0.059%17 Sept →
ancient6–130.0426%17 Sept →
cache13–90.0612%17 Sept →
anubis13–90.065%17 Sept →
anubis13–70.006%17 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.