BOT K3°

BOT K3° — CS2 Stats

CN76561198791267089[U:1:831001361]Steam profile ↗✓ No bans

811Tracked matches59%Win rate2026Tracked since
390Hours in CS
CSDB Rating5.7 SolidPositional Player
Premier CS Rating13,266Blue band · top ~37.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−904Premier CS Rating · 14,170 → 13,266
+19Tracked matches · now 811
−8.0ppWin rate · 66.7% → 58.6%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 14 days played since 5 Sep 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,266 +945 5 Sept18 Sept · 12 days played
10,57914,235peak 14,2355 Sept18 Sept
15,114Peak Premier in tracked matches
14Days played since 2026-09-05

Premier CS Rating

  • 969 below peak (14,235)
  • Next: Purple band at 15,000 1,734 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-17
  • Light Blue band first seen 2026-09-17

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=19,543), 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 rate47.7%41.9%44.3%above
Shot accuracy0.0%9.6%11.8%11.8% short
Kill/death ratio1.050.981.03meets
Match win rate52.8%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGBOT K3°PREMIER13,266 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning66
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateWWTLLLLLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.7pp headshot accuracy · −40ms reaction

Win rate −10pp 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

  • 221 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 619ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 560ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 580ms

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 PlayerPositioning stands above the rest of this profile (+3 against its own average).

Aim5.9
Utility4.0
Positioning6.6
Opening Duels3.9
Clutch0.0

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

iM

Plays most like iM 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 589ms 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

Aim5.9
Positioning6.6
Utility4.0
Mechanics5.9
Opening Duels6.0
Win Impact7.9

Composite 5.7/10 (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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time586ms+28ms
first ⅓ avg 558ms → last ⅓ avg 586ms
Headshot accuracy20.2%+3.9%
first ⅓ avg 16.3% → last ⅓ avg 20.2%

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

0.11Best match rating · 13–7 · dust2, 11 Sept
60%Best headshot accuracy · 1–9 · inferno, 6 Sept
383msFastest reaction time · 1–9 · inferno, 6 Sept
13–0Biggest win · vertigo, 17 Sept

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
105In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 69% over 13nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD32112134%-0.02
dust2A28161257%-0.00
anubisS139469%-0.00
ancientA127558%0.01
infernoB84450%-0.02
nukeD51420%-0.00
vertigo110100%0.05
cache1010%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,218Lifetime kills
1.05K/D · Top 50% of Blue band
901Matches
52.8%Match win rate · Top 5% of Blue band
47.7%Headshot % · Top 25% of Blue band
0.0%Shot accuracy
2,172MVPs
390Hours (in match)
494Bombs planted
228Bombs defused

Most-used weapons

Lifetime map wins

3,404dust2
1,291inferno
567nuke
99vertigo
68train
24office
7italy
1ar_shoots

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

Faceit stats

Combat

9Matches
22%Win rate
0.86Avg K/D
80.3ADR
51%Headshot %

Clutches & streaks

11%1v1 clutch win
50%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno333%0.6111.3
Mirage20%0.8215.5
Dust210%0.7110.0
Ancient1100%1.4619.0
Overpass10%1.3121.0
Anubis10%0.8113.0

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.

18.9%Headshot accuracy
31.6%Accuracy (enemy spotted)
29.9%Spray accuracy
76.8%Counter-strafing
9.5°Preaim
589msReaction time
46.8%T opening success
60.9%CT opening success
0.45Enemies flashed / flash
8.0%Flash assists
9.19HE damage / grenade
4.48Flashes / 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 0.4536 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–11-0.0016%18 Sept
ancient13–40.0414%18 Sept
mirage15–15-0.0215%18 Sept
inferno6–13-0.0523%18 Sept
mirage5–130.0224%18 Sept
mirage10–130.0124%18 Sept
nuke7–13-0.0328%18 Sept
mirage13–16-0.0018%18 Sept
dust213–11-0.0510%18 Sept
dust213–11-0.0121%18 Sept
anubis13–70.1012%18 Sept
mirage16–140.0221%18 Sept
ancient9–130.0122%18 Sept
mirage6–13-0.0710%18 Sept
anubis3–12-0.0818%18 Sept
ancient13–80.1117%18 Sept
dust28–13-0.0711%17 Sept
dust213–70.0325%17 Sept
mirage13–11-0.0211%17 Sept
mirage5–13-0.0430%17 Sept
nuke13–11-0.0122%17 Sept
vertigo13–00.0516%17 Sept
mirage13–9-0.0111%17 Sept
dust29–130.0222%17 Sept
dust213–90.0432%16 Sept
anubis13–80.0528%16 Sept
anubis13–6-0.0816%16 Sept
dust27–130.0612%15 Sept
mirage13–10.0922%15 Sept
ancient13–11-0.0319%15 Sept
ancient13–10-0.0137%15 Sept
inferno4–13-0.0626%14 Sept
inferno13–100.0734%14 Sept
mirage3–13-0.0514%14 Sept
anubis1–13-0.0315%13 Sept
dust25–13-0.0229%13 Sept
mirage10–130.0118%13 Sept
mirage13–6-0.0718%12 Sept
dust213–7-0.0117%12 Sept
mirage13–16-0.0418%12 Sept
dust213–40.0426%12 Sept
dust213–70.1118%11 Sept
anubis13–90.0210%11 Sept
mirage6–130.026%11 Sept
inferno13–100.108%11 Sept
ancient13–80.0116%11 Sept
dust213–7-0.0224%10 Sept
dust213–60.0025%10 Sept
anubis13–50.0818%10 Sept
ancient13–60.0313%10 Sept
dust213–7-0.0029%10 Sept
mirage13–80.0418%9 Sept
dust213–40.0838%9 Sept
dust22–130.0027%9 Sept
ancient13–8-0.0122%8 Sept
mirage8–130.0020%8 Sept
mirage13–100.0416%8 Sept
inferno15–15-0.0316%7 Sept
dust210–13-0.0616%7 Sept
dust211–13-0.0122%7 Sept
nuke11–13-0.0323%7 Sept
mirage16–120.0118%7 Sept
dust213–4-0.0113%7 Sept
mirage4–13-0.0617%7 Sept
mirage3–13-0.088%7 Sept
anubis13–16-0.0124%6 Sept
dust216–120.0124%6 Sept
ancient11–130.0127%6 Sept
mirage13–10-0.0116%6 Sept
dust26–13-0.0723%6 Sept
dust24–13-0.0819%6 Sept
dust213–110.0423%6 Sept
mirage6–13-0.0315%6 Sept
ancient13–16-0.0214%6 Sept
mirage13–8-0.0711%6 Sept
mirage7–13-0.0415%6 Sept
nuke6–130.0210%6 Sept
inferno4–10.055%6 Sept
inferno1–9-0.2560%6 Sept
dust213–10-0.0515%6 Sept
dust28–13-0.0312%5 Sept
mirage6–13-0.0610%5 Sept
cache15–150.017%5 Sept
mirage10–13-0.0313%5 Sept
dust215–15-0.0414%5 Sept
mirage9–13-0.0622%5 Sept
mirage11–13-0.029%5 Sept
mirage5–13-0.019%5 Sept
dust213–10.0813%5 Sept
anubis9–130.0020%5 Sept
anubis13–80.0124%5 Sept
ancient11–13-0.0424%5 Sept
mirage9–13-0.0220%5 Sept
ancient10–130.0313%5 Sept
nuke10–130.0416%5 Sept
inferno13–110.0213%5 Sept
anubis13–11-0.035%5 Sept
mirage13–60.0114%5 Sept
dust215–15-0.0315%5 Sept
anubis13–8-0.0313%5 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 →