Kindral

Kindral — CS2 Stats

EE76561197988434147[U:1:28168419]Steam profile ↗✓ No bans

1,921Tracked matches57%Win rate2021Tracked since
1,925Hours in CS49Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Premier CS Rating15,515Purple band · top ~26.3% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 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: 15,515 -1,047 25 Sept – 23 Oct · 21 days played
12,47916,958peak 16,95825 Sept23 Oct
17,316Peak Premier in tracked matches
20Days played since 2026-09-25

Premier CS Rating

  • 1,443 below peak (16,958)
  • -1,047 over 30 days · declining
  • Next: Pink band at 20,000 — 4,485 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-25
  • Blue band first seen 2026-09-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches143——
Win rate51%——
K/D1.11——
Headshot %37%——

Measured 25 Sep 2026 → 24 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.9%44.3%46.9%5.0% short
Shot accuracy6.4%11.9%13.0%6.6% short
Kill/death ratio0.991.031.080.09 short
Match win rate43.8%45.2%46.7%2.9% short

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

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

Share this profile

CSDB.GGKindralPREMIER15,515 · Purple 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

Aim63
Positioning49
Utility54

0–100 skill scores via Leetify.

Recent form

COLD54–45–1Last 10054%Win rateLWLWLLLWLL

Last 10 vs previous 10: −50pp win rate · +0.01 avg rating · +4.6pp headshot accuracy · −38ms reaction

Win rate down 50pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 15%
  • Avg reaction 547ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 569ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 588ms

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 (+1.3 against its own average).

Aim6.3
Utility5.4
Positioning4.9
Opening Duels2.0

Strong CT-side opener

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

ZywOo

Plays most like ZywOo 90% 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

Reaction time. 576ms 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

Aim6.3
Positioning4.9
Utility5.4
Mechanics5.3
Opening Duels2.3
Win Impact7.2

Composite 5.4/10 (Developing), 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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time579ms+12ms
first ⅓ avg 566ms → last ⅓ avg 579ms
Headshot accuracy15.6%−0.3%
first ⅓ avg 15.8% → last ⅓ avg 15.6%

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

0.18Best match rating · 13–4 · mirage, 23 Oct →
35%Best headshot accuracy · 5–13 · dust2, 8 Oct →
375msFastest reaction time · 13–10 · inferno, 12 Oct →
13–0Biggest win · inferno, 3 Oct →

Across the last 100 tracked matches.

Highlights

12Longest win streak
5–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 83% over 6dust2Weakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoA2415–963%0.03
nukeA2113–862%0.01
mirageD155–1033%-0.00
dust2D144–1029%-0.00
ancientB115–645%-0.02
cacheS97–278%0.02
anubisS65–183%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,306Lifetime kills
0.99K/D
3,012Matches
43.8%Match win rate
41.9%Headshot %
6.4%Shot accuracy
5,903MVPs
1,148Hours (in match)
2,971Bombs planted
515Bombs defused

Most-used weapons

AK-4714,682
AWP3,456
MAC-102,334
P901,969
FAMAS1,480
MP91,194

Lifetime map wins

8,167inferno
3,615nuke
3,332dust2
529train
395vertigo
339office
49italy
28lake

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.

15.6%Headshot accuracy
36.2%Accuracy (enemy spotted)
40.9%Spray accuracy
73.8%Counter-strafing
11.5°Preaim
576msReaction time
31.8%T opening success
46.5%CT opening success
0.45Enemies flashed / flash
6.9%Flash assists
12.31HE damage / grenade
7.11Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4459 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 31.7715% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–130.0513%23 Oct →
cache13–50.0714%23 Oct →
dust214–160.0115%23 Oct →
mirage13–40.1817%23 Oct →
nuke5–130.0218%23 Oct →
ancient7–13-0.0622%22 Oct →
inferno9–13-0.0224%21 Oct →
inferno13–5-0.0310%21 Oct →
mirage11–13-0.0918%21 Oct →
mirage10–13-0.0126%21 Oct →
mirage16–13-0.0110%21 Oct →
inferno13–10-0.0420%21 Oct →
dust23–13-0.063%20 Oct →
nuke13–10.069%20 Oct →
nuke13–20.0611%20 Oct →
inferno10–10.0618%20 Oct →
nuke13–9-0.0316%20 Oct →
inferno9–13-0.0218%20 Oct →
anubis13–70.0112%20 Oct →
cache13–30.0314%18 Oct →
mirage10–130.0023%18 Oct →
nuke13–30.1024%18 Oct →
inferno13–50.0816%18 Oct →
dust211–13-0.0210%18 Oct →
cache13–90.0215%18 Oct →
nuke16–13-0.0214%18 Oct →
dust210–13-0.027%17 Oct →
mirage13–40.0124%17 Oct →
dust210–13-0.079%17 Oct →
nuke13–90.0418%17 Oct →
cache13–30.0415%17 Oct →
nuke13–110.039%17 Oct →
dust213–8-0.0021%17 Oct →
ancient9–130.0022%17 Oct →
anubis13–30.0517%17 Oct →
anubis13–50.108%16 Oct →
ancient13–7-0.0611%16 Oct →
inferno13–80.0412%16 Oct →
nuke13–30.112%16 Oct →
mirage7–1-0.110%16 Oct →
ancient13–70.075%16 Oct →
inferno13–110.103%16 Oct →
mirage13–110.0917%16 Oct →
inferno13–100.0710%16 Oct →
inferno13–10.1617%16 Oct →
dust213–3-0.0215%16 Oct →
dust28–130.0227%16 Oct →
nuke5–13-0.0421%16 Oct →
inferno9–13-0.0113%15 Oct →
ancient7–13-0.0620%15 Oct →
inferno6–130.0021%15 Oct →
inferno13–80.069%15 Oct →
mirage13–16-0.0215%15 Oct →
dust213–80.0913%15 Oct →
dust28–130.0614%15 Oct →
nuke4–13-0.0015%15 Oct →
mirage9–130.0229%15 Oct →
inferno15–150.049%14 Oct →
inferno13–3-0.0017%14 Oct →
nuke10–13-0.0010%14 Oct →
ancient8–13-0.084%12 Oct →
ancient5–20.0419%12 Oct →
anubis13–90.0519%12 Oct →
inferno10–130.0611%12 Oct →
inferno13–100.0823%12 Oct →
cache14–16-0.0012%11 Oct →
mirage14–16-0.0713%11 Oct →
mirage11–13-0.0114%11 Oct →
nuke13–10-0.079%11 Oct →
nuke1–13-0.0217%11 Oct →
mirage9–13-0.0819%10 Oct →
dust213–80.0811%9 Oct →
ancient16–12-0.0413%8 Oct →
inferno13–5-0.027%8 Oct →
anubis13–40.1517%8 Oct →
cache11–130.0716%8 Oct →
inferno10–130.0614%8 Oct →
dust26–130.0113%8 Oct →
anubis9–130.0515%8 Oct →
dust25–13-0.0435%8 Oct →
dust27–13-0.0519%8 Oct →
nuke13–4-0.0310%8 Oct →
nuke5–130.0110%7 Oct →
nuke13–90.0817%7 Oct →
cache13–70.048%6 Oct →
ancient5–13-0.0312%6 Oct →
inferno13–80.0421%6 Oct →
nuke9–13-0.0415%6 Oct →
nuke13–110.1012%5 Oct →
inferno16–14-0.0113%5 Oct →
inferno7–130.0317%5 Oct →
cache13–1-0.0416%4 Oct →
inferno13–00.097%3 Oct →
nuke1–13-0.0519%3 Oct →
nuke13–5-0.046%3 Oct →
mirage8–130.0416%3 Oct →
ancient13–10-0.0532%1 Oct →
mirage1–130.0133%1 Oct →
cache13–10-0.0223%1 Oct →
inferno11–13-0.0417%1 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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