caleb

caleb — CS2 Stats

LK76561198089091847[U:1:128826119]Steam profile ↗✓ No bans

858Tracked matches38%Win rate2020Tracked since
4,130Hours in CS0Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
FaceitLevel 7 · 1,479 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,479 → 1,479
+2Tracked matches · now 858
0.0ppWin rate · 37.9% → 37.9%

Rating over time

Premier CS Rating: 20,391 +1,695 9 Oct – 30 Dec · 7 days played
18,69620,550peak 20,5509 Oct30 Dec
Faceit ELO: 1,479 +0 3 Sept – 1 Oct · 6 observations
1,4791,479peak 1,4793 Sept1 Oct
20,550Peak Premier in tracked matches
1,479Highest Faceit ELO seen on CSDB
64Days played since 2025-07-29

Faceit ELO

  • At peak — 1,479
  • 0 over 30 days · steady
  • Next: Level 8 at 1,531 — 52 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-03
  • Level 6 first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,948), 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 playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate40.2%45.7%46.8%6.6% short
Shot accuracy12.6%12.7%13.0%0.3% short
Kill/death ratio0.901.051.060.16 short
Match win rate41.2%45.7%46.3%5.1% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGcalebFACEITLevel 7 · 1,479 ELOSTANDINGTop 42.3% of ranked30 DAYS0 ELOPEAK ELO1,479csdb.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

Aim81
Positioning71
Utility67

0–100 skill scores via Leetify.

Recent form

COLD42–53–5Last 10042%Win rateLLLLWWLLTL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −1.8pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 548ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 531ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 547ms

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 (+1.5 against its own average).

Aim8.1
Utility6.7
Positioning7.1
Opening Duels6.3
Clutch2.2

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 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 570ms 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

Aim8.1
Positioning7.1
Utility6.7
Mechanics5.9
Opening Duels6.6
Win Impact1.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time586ms−21ms
first ⅓ avg 607ms → last ⅓ avg 586ms
Headshot accuracy18.5%−1.2%
first ⅓ avg 19.6% → last ⅓ avg 18.5%

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

0.17Best match rating · 13–8 · ancient, 22 Jul →
46%Best headshot accuracy · 13–10 · mirage, 8 Oct →
398msFastest reaction time · 7–13 · inferno, 3 Sept →
13–2Biggest win · dust2, 4 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
8–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 48% over 25dust2Weakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
infernoB2512–1348%0.03
mirageB2210–1245%0.01
dust2D206–1430%-0.00
overpassC104–640%-0.03
ancientC94–544%0.06
anubisC73–443%-0.00
nuke—30–30%-0.02
cache—11–0100%0.02
golden—11–0100%-0.03
train—11–0100%0.06
vertigo—10–10%-0.29

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,530Lifetime kills
0.90K/D
3,459Matches
41.2%Match win rate
40.2%Headshot %
12.6%Shot accuracy
7,131MVPs
1,719Hours (in match)
5,980Bombs planted
1,075Bombs defused

Most-used weapons

AK-4720,750
AWP9,769
Knife2,055
FAMAS1,807
P901,749

Lifetime map wins

12,341dust2
5,031inferno
926vertigo
799nuke
786train
419cbble
59office
42lake

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

Faceit stats

Combat

906Matches
51%Win rate
1.03Avg K/D
73.6ADR
44%Headshot %

Clutches & streaks

31%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage14753%1.0814.8
Inferno9251%1.0415.3
Anubis8353%1.0014.9
Dust27657%1.0314.6
Ancient3949%0.8714.9
Overpass3250%0.8413.9
Vertigo1421%0.9014.4
Nuke1429%0.8614.5

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.

18.3%Headshot accuracy
38.3%Accuracy (enemy spotted)
42.5%Spray accuracy
76.6%Counter-strafing
8.5°Preaim
570msReaction time
50.6%T opening success
62.5%CT opening success
0.65Enemies flashed / flash
7.5%Flash assists
9.91HE damage / grenade
14.15Flashes / match

Recommended for you

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.

30% win rate across 20 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
inferno5–80.000%6 Nov →
inferno7–130.0526%8 Oct →
dust29–130.0317%1 Oct →
anubis4–13-0.0515%1 Oct →
dust213–80.0017%30 Sept →
inferno13–110.067%30 Sept →
dust24–13-0.0024%3 Sept →
anubis3–130.0320%3 Sept →
ancient12–120.1126%3 Sept →
inferno7–130.0614%3 Sept →
dust25–130.0526%3 Sept →
mirage9–130.0411%3 Sept →
inferno13–100.0612%2 Sept →
inferno10–130.0116%26 Aug →
inferno10–130.0015%7 Aug →
mirage16–14-0.0221%7 Aug →
anubis13–90.0815%6 Aug →
cache13–110.0214%6 Aug →
ancient13–80.1737%22 Jul →
dust29–130.0218%22 Jul →
dust28–13-0.0521%16 Jul →
ancient13–30.1620%19 Jun →
inferno13–110.1122%19 Jun →
nuke8–130.0024%19 Jun →
ancient13–80.0123%10 Jun →
dust24–13-0.0415%23 May →
anubis13–10-0.0313%18 Apr →
ancient12–160.0310%16 Apr →
inferno5–13-0.0817%16 Apr →
mirage6–13-0.0433%16 Apr →
dust28–13-0.0419%7 Apr →
mirage6–13-0.0719%19 Feb →
dust22–13-0.0922%17 Feb →
inferno5–13-0.0023%12 Feb →
mirage16–120.0413%5 Feb →
anubis2–13-0.0438%22 Jan →
anubis13–11-0.0326%22 Jan →
inferno13–100.0522%20 Jan →
overpass13–70.0924%8 Jan →
dust22–13-0.0417%30 Dec →
mirage5–13-0.0225%30 Dec →
dust210–13-0.0328%30 Dec →
ancient13–100.1218%29 Dec →
ancient8–130.0218%19 Dec →
mirage13–90.0715%11 Dec →
dust212–12-0.0226%11 Dec →
mirage13–70.0412%10 Dec →
anubis12–120.0413%4 Dec →
inferno6–13-0.0517%4 Dec →
dust213–20.0630%4 Dec →
inferno13–110.0530%3 Dec →
mirage2–13-0.0932%2 Dec →
inferno13–60.0023%2 Dec →
overpass16–130.0030%2 Dec →
ancient2–13-0.116%27 Nov →
overpass6–13-0.1023%25 Nov →
inferno13–100.0120%20 Nov →
inferno13–5-0.0128%19 Nov →
mirage6–130.0122%11 Nov →
mirage9–130.0122%9 Nov →
nuke5–13-0.0112%9 Nov →
mirage13–80.0817%6 Nov →
overpass6–13-0.1011%31 Oct →
overpass13–10-0.0119%30 Oct →
mirage17–19-0.0123%23 Oct →
dust213–70.0212%21 Oct →
mirage11–130.0022%16 Oct →
dust213–7-0.038%10 Oct →
mirage13–80.0419%9 Oct →
overpass15–15-0.0314%9 Oct →
overpass16–130.0515%8 Oct →
mirage13–100.0946%8 Oct →
inferno13–70.019%7 Oct →
dust213–50.0315%7 Oct →
inferno5–13-0.0310%3 Oct →
dust22–13-0.0725%3 Oct →
golden13–11-0.0312%3 Oct →
inferno13–60.1023%2 Oct →
mirage13–40.1021%2 Oct →
inferno9–130.1322%19 Sept →
overpass10–13-0.0018%17 Sept →
dust29–130.0220%17 Sept →
dust25–130.0829%6 Sept →
train13–100.0614%6 Sept →
mirage9–130.0435%6 Sept →
mirage13–10-0.0419%28 Aug →
dust213–30.0513%26 Aug →
ancient25–280.0214%19 Aug →
inferno13–50.0825%16 Aug →
overpass2–9-0.1220%13 Aug →
vertigo1–9-0.2918%12 Aug →
inferno9–70.0822%12 Aug →
overpass8–13-0.054%12 Aug →
inferno19–22-0.0118%8 Aug →
nuke11–13-0.0426%7 Aug →
inferno4–130.0017%6 Aug →
mirage11–130.0520%6 Aug →
mirage10–13-0.0329%31 Jul →
mirage13–4-0.0333%29 Jul →
inferno15–150.0118%29 Jul →

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 →

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