LOGANKELLER

LOGANKELLER — CS2 Stats

AT76561198063790105[U:1:103524377]Steam profile ↗✓ No bans

1,353Tracked matches63%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
Premier CS Rating18,508Purple band · top ~14.4% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (5 days ago). 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: 18,508 +7,758 1 Apr – 28 Oct · 35 days played
10,60619,548peak 19,5481 Apr28 Oct
19,548Peak Premier in tracked matches
47Days played since 2026-03-30

Premier CS Rating

  • 1,040 below peak (19,548)
  • Next: Pink band at 20,000 — 1,492 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGLOGANKELLERPREMIER18,508 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning54
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY59–38–3Last 10059%Win rateLWWWWLLWLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · +4.3pp headshot accuracy · +89ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 619ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 622ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 9%
  • Avg reaction 577ms

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 (+1.6 against its own average).

Aim7.1
Utility4.4
Positioning5.4
Opening Duels3.5
Clutch1.8

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

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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. 604ms 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

Aim7.1
Positioning5.4
Utility4.4
Mechanics6.0
Opening Duels3.9
Win Impact9.4

Composite 6.1/10 (Solid), 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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time601ms−68ms
first ⅓ avg 669ms → last ⅓ avg 601ms
Headshot accuracy9.2%−0.6%
first ⅓ avg 9.9% → last ⅓ avg 9.2%

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 · 13–6 · office, 9 Sept →
35%Best headshot accuracy · 9–1 · inferno, 20 Apr →
422msFastest reaction time · 2–6 · rush_001, 5 Oct →
13–2Biggest win · inferno, 11 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 71% over 14dust2Weakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoA1912–763%-0.02
dust2C166–1038%-0.03
nukeS1611–569%0.01
anubisA149–564%-0.03
ancientS1410–471%-0.01
mirageA74–357%-0.01
overpassA74–357%-0.02
cache—22–0100%0.00
vertigo—20–20%-0.03
office—21–150%0.02
rush_001—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

163Matches
48%Win rate
1.03Avg K/D
77.2ADR
31%Headshot %

Clutches & streaks

29%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3949%1.0813.1
Inferno2635%0.9214.8
Ancient2259%1.0614.0
Nuke2060%1.2714.7
Dust21553%0.9412.1
Anubis1450%1.0615.1
Vertigo1331%0.609.7
Overpass850%1.0615.5

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.

9.1%Headshot accuracy
40.3%Accuracy (enemy spotted)
43.0%Spray accuracy
76.9%Counter-strafing
8.6°Preaim
604msReaction time
39.2%T opening success
51.9%CT opening success
0.47Enemies flashed / flash
10.0%Flash assists
13.60HE damage / grenade
2.64Flashes / 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 9.0758% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4667 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 39.2012% — 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.

38% win rate across 16 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
dust29–13-0.036%28 Oct →
cache13–90.0114%28 Oct →
dust213–9-0.089%28 Oct →
anubis16–14-0.066%27 Oct →
nuke13–40.0515%25 Oct →
anubis5–13-0.0512%25 Oct →
ancient10–13-0.038%25 Oct →
nuke13–50.0914%20 Oct →
vertigo10–13-0.0313%20 Oct →
office7–13-0.0814%20 Oct →
ancient13–50.0114%19 Oct →
inferno13–50.026%19 Oct →
anubis13–6-0.033%19 Oct →
mirage13–90.045%9 Oct →
rush_0012–6-0.0111%5 Oct →
inferno13–50.077%15 Sept →
ancient16–14-0.036%15 Sept →
office13–60.117%9 Sept →
nuke6–13-0.052%5 Sept →
anubis13–60.037%5 Sept →
nuke8–00.059%5 Sept →
dust23–13-0.050%5 Sept →
inferno13–11-0.059%3 Sept →
inferno13–6-0.0419%14 Aug →
nuke13–100.0215%14 Aug →
anubis13–7-0.047%13 Aug →
dust210–13-0.052%29 Jul →
ancient13–7-0.0411%29 Jul →
inferno6–13-0.0213%20 Jul →
ancient5–13-0.0816%25 Jun →
inferno3–130.009%17 Jun →
ancient11–13-0.0412%17 Jun →
ancient13–8-0.035%16 Jun →
anubis13–9-0.030%16 Jun →
nuke10–13-0.018%16 Jun →
overpass13–8-0.066%15 Jun →
inferno5–13-0.0715%14 Jun →
overpass7–13-0.0915%14 Jun →
inferno13–4-0.017%14 Jun →
ancient10–13-0.019%14 Jun →
overpass2–13-0.0414%14 Jun →
inferno10–13-0.044%10 Jun →
inferno16–140.029%7 Jun →
mirage1–13-0.147%7 Jun →
dust25–13-0.0417%5 Jun →
ancient13–80.0413%5 Jun →
anubis9–13-0.0413%4 Jun →
anubis13–10-0.044%4 Jun →
overpass9–130.036%1 Jun →
inferno13–10-0.037%1 Jun →
mirage1–13-0.104%26 May →
ancient13–3-0.040%26 May →
dust210–13-0.047%26 May →
inferno13–4-0.0415%21 May →
dust213–11-0.058%21 May →
cache13–100.0012%21 May →
nuke13–6-0.0011%20 May →
anubis13–70.002%20 May →
anubis13–11-0.0714%19 May →
inferno13–3-0.0316%19 May →
mirage13–90.0017%18 May →
anubis7–13-0.076%18 May →
inferno13–10-0.065%18 May →
ancient13–90.0110%17 May →
overpass13–6-0.0215%17 May →
inferno11–13-0.033%17 May →
overpass13–70.0211%17 May →
nuke13–8-0.019%11 May →
inferno13–2-0.047%11 May →
overpass13–60.026%8 May →
dust213–11-0.048%6 May →
nuke1–9-0.208%5 May →
dust213–90.0213%5 May →
nuke13–20.0911%5 May →
mirage13–80.035%4 May →
ancient16–14-0.0510%4 May →
mirage13–90.095%4 May →
dust210–13-0.0211%1 May →
dust213–8-0.059%1 May →
nuke13–90.014%1 May →
dust28–13-0.087%1 May →
mirage11–13-0.019%29 Apr →
nuke6–130.018%27 Apr →
ancient13–50.105%27 Apr →
anubis4–13-0.038%27 Apr →
ancient13–50.0712%21 Apr →
nuke13–7-0.038%21 Apr →
anubis13–20.0311%21 Apr →
nuke13–40.038%20 Apr →
inferno9–1-0.0735%20 Apr →
dust22–13-0.0424%17 Apr →
dust216–140.0610%17 Apr →
dust29–13-0.007%17 Apr →
nuke13–90.017%13 Apr →
inferno12–120.013%8 Apr →
dust24–130.0118%1 Apr →
nuke6–130.0610%31 Mar →
inferno12–120.067%30 Mar →
anubis7–130.028%30 Mar →
vertigo8–8-0.0413%30 Mar →

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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