KalebLT

KalebLT — CS2 Stats

AU76561199054548721[U:1:1094282993]Steam profile ↗✓ No bans

155Tracked matches63%Win rate2026Tracked since
80Hours in CS
CSDB Rating6.5 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

+26Tracked matches · now 155
+8.2ppWin rate · 55.2% → 63.3%

Rating over time

31Days played since 2026-07-24

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim77
Positioning63
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY60–35–5Last 10060%Win rateWWLWWWLLLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −2.5pp headshot accuracy · −58ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 36%
  • Avg reaction 530ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 556ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 585ms

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 (+2.8 against its own average).

Aim7.7
Utility2.6
Positioning6.3
Opening Duels5.2
Clutch0.0

Limited 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

donk

Plays most like donk 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 594ms 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

Aim7.7
Positioning6.3
Utility2.6
Mechanics6.0
Opening Duels6.6
Win Impact9.4

Composite 6.5/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time592ms−30ms
first ⅓ avg 622ms → last ⅓ avg 592ms
Headshot accuracy27.2%+0.4%
first ⅓ avg 26.8% → last ⅓ avg 27.2%

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

0.19Best match rating · 13–0 · dust2, 26 Jul →
70%Best headshot accuracy · 13–7 · nuke, 26 Sept →
445msFastest reaction time · 13–9 · mirage, 29 Sept →
13–0Biggest win · inferno, 1 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
3–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 69% over 16ancientWeakest map · 56% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A4124–1759%0.03
mirageA1912–763%-0.00
infernoS1611–569%0.02
ancientA95–456%0.02
nukeA85–363%0.05
cache—42–250%0.03
anubis—21–150%-0.02
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (56% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,941Lifetime kills
0.78K/D
253Matches
42.3%Match win rate
60.4%Headshot % · Top 5% of tracked players
0.0%Shot accuracy
479MVPs
80Hours (in match)
98Bombs planted
41Bombs defused

Most-used weapons

Lifetime map wins

865dust2
351inferno
109nuke
30vertigo
14office
7italy
7train

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

Faceit stats

Combat

10Matches
50%Win rate
0.87Avg K/D
80.3ADR
48%Headshot %

Clutches & streaks

20%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage450%0.8512.8
Dust2333%0.9115.3
Inferno2100%1.0819.5
Vertigo10%0.377.0

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.

27.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
36.1%Spray accuracy
76.8%Counter-strafing
9.9°Preaim
594msReaction time
59.7%T opening success
53.4%CT opening success
0.40Enemies flashed / flash
11.9%Flash assists
7.75HE damage / grenade
3.58Flashes / 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 0.3964 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.0438%12 Oct →
dust213–3-0.0240%7 Oct →
dust26–130.1239%3 Oct →
inferno13–110.0840%2 Oct →
mirage13–110.0224%2 Oct →
mirage13–40.0418%2 Oct →
dust28–13-0.0219%1 Oct →
vertigo6–13-0.0520%29 Sept →
mirage2–13-0.0719%29 Sept →
mirage13–9-0.0716%29 Sept →
ancient13–10.0734%29 Sept →
dust27–13-0.0125%28 Sept →
nuke13–70.0270%26 Sept →
nuke13–50.0827%26 Sept →
inferno13–10-0.0122%25 Sept →
dust213–40.0920%25 Sept →
mirage13–7-0.0231%23 Sept →
dust213–40.1031%22 Sept →
dust210–130.0129%21 Sept →
mirage0–6-0.079%21 Sept →
inferno13–10-0.0435%15 Sept →
inferno13–00.0727%1 Sept →
dust213–80.1014%18 Aug →
ancient10–13-0.0825%14 Aug →
dust213–7-0.0120%14 Aug →
ancient1–13-0.0822%14 Aug →
dust213–40.0740%14 Aug →
mirage13–4-0.0528%13 Aug →
mirage11–130.0317%13 Aug →
ancient8–130.0318%13 Aug →
nuke4–130.0450%13 Aug →
dust213–8-0.0715%13 Aug →
mirage14–16-0.0419%13 Aug →
ancient13–40.1327%13 Aug →
nuke13–80.1025%13 Aug →
dust212–120.1420%13 Aug →
cache7–13-0.0416%12 Aug →
dust210–130.0622%12 Aug →
mirage13–100.0529%11 Aug →
inferno8–13-0.0117%10 Aug →
anubis11–13-0.0418%10 Aug →
anubis13–100.0113%10 Aug →
mirage13–60.0418%10 Aug →
dust213–6-0.0723%10 Aug →
dust213–60.1112%10 Aug →
ancient13–20.0521%10 Aug →
dust27–13-0.0219%10 Aug →
mirage9–13-0.0519%9 Aug →
cache10–13-0.0112%9 Aug →
cache16–13-0.0323%9 Aug →
mirage13–80.0527%9 Aug →
inferno13–20.0823%9 Aug →
dust213–6-0.0710%9 Aug →
ancient13–100.0110%8 Aug →
dust27–13-0.0128%8 Aug →
dust28–13-0.0618%8 Aug →
mirage12–120.0415%8 Aug →
dust22–13-0.0142%8 Aug →
ancient4–13-0.0325%8 Aug →
mirage12–120.0729%8 Aug →
dust24–130.0816%8 Aug →
dust213–110.0427%7 Aug →
dust213–80.0324%7 Aug →
dust213–80.0332%7 Aug →
nuke13–6-0.0316%7 Aug →
dust212–120.0226%7 Aug →
inferno4–130.0225%7 Aug →
dust213–5-0.0420%7 Aug →
dust213–9-0.0024%7 Aug →
nuke1–60.1243%7 Aug →
inferno13–60.0414%7 Aug →
inferno3–13-0.0322%6 Aug →
dust210–130.1726%6 Aug →
dust213–80.0925%6 Aug →
inferno13–80.0626%6 Aug →
inferno13–9-0.0237%6 Aug →
mirage13–8-0.0324%6 Aug →
nuke13–70.0142%6 Aug →
inferno13–10.0443%6 Aug →
mirage13–40.0447%6 Aug →
dust212–12-0.0235%4 Aug →
mirage13–8-0.098%4 Aug →
nuke9–50.0527%4 Aug →
dust213–1-0.0130%4 Aug →
mirage13–40.0748%4 Aug →
dust213–00.1521%4 Aug →
dust213–8-0.0023%4 Aug →
dust213–30.0325%4 Aug →
dust25–13-0.0218%1 Aug →
inferno10–130.0521%31 Jul →
inferno13–60.0220%28 Jul →
dust213–30.0019%26 Jul →
dust24–130.0321%26 Jul →
dust25–130.0417%26 Jul →
dust213–00.1937%26 Jul →
inferno3–13-0.0233%25 Jul →
cache13–50.1822%25 Jul →
dust213–8-0.0023%25 Jul →
dust213–4-0.0123%25 Jul →
inferno13–7-0.0422%24 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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