Carl

Carl — CS2 Stats

VA76561198088346971[U:1:128081243]Steam profile ↗✓ No bans

1,492Tracked matches46%Win rate2023Tracked since
2,495Hours in CS7Hrs last 2 wks
CSDB Rating6.9 SolidClutch Specialist
Premier CS Rating25,551Top 10% of 213,399 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#17018 of 259994 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (6 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: 25,551 +2,029 18 Jun – 30 Oct · 9 days played
23,02625,551peak 25,55118 Jun30 Oct
25,551Peak Premier in tracked matches
48Days played since 2026-05-04

Premier CS Rating

  • At peak — 25,551
  • +447 over 30 days · improving
  • Next: Gold band at 30,000 — 4,449 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate40.8%49.3%50.9%10.1% short
Shot accuracy8.2%13.4%11.8%3.7% short
Kill/death ratio1.151.121.180.03 short
Match win rate42.4%48.5%51.9%9.5% short

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

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

Share this profile

CSDB.GGCarlPREMIER25,551 · Red 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

Aim87
Positioning60
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWWLWWLLWL

Last 10 vs previous 10: 0pp win rate · +0.06 avg rating · +4.9pp headshot accuracy · +25ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 17%
  • Avg reaction 497ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 20%
  • Avg reaction 489ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 477ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.2 against its own average).

Aim8.7
Utility6.2
Positioning6.0
Opening Duels2.2
Clutch6.4

Sharp aimer

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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.5° off target when enemies appear — placement, not flicking, is the bigger win available.

CT openings. Opening success drops from 51% on T to 35% on CT — first contacts on the defending side are being lost.

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

Aim8.7
Positioning6.0
Utility6.2
Mechanics7.4
Opening Duels3.2
Win Impact3.8

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time500ms+5ms
first ⅓ avg 495ms → last ⅓ avg 500ms
Headshot accuracy17.9%+1.7%
first ⅓ avg 16.2% → last ⅓ avg 17.9%

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

0.22Best match rating · 13–4 · nuke, 10 Jun →
37%Best headshot accuracy · 13–4 · nuke, 10 Jun →
320msFastest reaction time · 3–13 · dust2, 1 Sept →
13–1Biggest win · cache, 14 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 58% over 19ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A2313–1057%0.03
mirageB209–1145%0.03
infernoA1911–858%0.03
nukeA148–657%0.06
cacheA95–456%0.05
ancientD82–625%0.03
anubisA74–357%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,469Lifetime kills
1.15K/D · Top 50% of Red band
4,384Matches
42.4%Match win rate
40.8%Headshot %
8.2%Shot accuracy
14,115MVPs
1,731Hours (in match)
6,023Bombs planted
2,619Bombs defused

Most-used weapons

AK-4740,531
AWP7,991
MAC-102,054
MP92,003
P2501,076

Lifetime map wins

6,727inferno
6,451dust2
2,526nuke
1,219train
537vertigo
451office
327cbble
50lake

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

Faceit stats

Combat

219Matches
60%Win rate
1.28Avg K/D
81.3ADR
42%Headshot %

Clutches & streaks

52%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5754%1.1915.0
Dust23256%1.2215.8
Inferno3155%1.3017.8
Anubis2868%1.1414.5
Nuke2572%1.3816.1
Ancient2564%1.5217.1
Vertigo1560%1.3717.4
Overpass2100%1.2518.5

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
40.7%Accuracy (enemy spotted)
46.4%Spray accuracy
83.4%Counter-strafing
11.5°Preaim
493msReaction time
51.4%T opening success
34.5%CT opening success
0.60Enemies flashed / flash
4.3%Flash assists
6.35HE damage / grenade
14.34Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.5369% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0713%1 Nov →
mirage13–80.0121%31 Oct →
cache13–80.0311%31 Oct →
dust210–130.1124%31 Oct →
inferno13–50.1218%31 Oct →
nuke13–40.0626%30 Oct →
nuke5–13-0.0328%25 Oct →
anubis6–130.2022%25 Oct →
ancient13–110.0526%20 Oct →
mirage14–160.0412%20 Oct →
dust213–80.039%15 Oct →
nuke7–13-0.0124%2 Oct →
nuke9–13-0.0115%2 Oct →
nuke13–60.1112%1 Oct →
anubis13–10-0.039%30 Sept →
nuke13–9-0.0112%30 Sept →
nuke6–130.0320%29 Sept →
mirage15–150.0216%29 Sept →
mirage13–80.0113%25 Sept →
cache9–13-0.0524%24 Sept →
ancient1–13-0.050%24 Sept →
dust212–120.0822%24 Sept →
dust213–100.0418%23 Sept →
anubis13–50.0922%23 Sept →
inferno10–130.0514%23 Sept →
mirage7–13-0.0227%22 Sept →
mirage11–130.0920%22 Sept →
nuke11–13-0.0122%16 Sept →
mirage13–100.0023%15 Sept →
mirage8–13-0.0129%11 Sept →
nuke13–90.0312%10 Sept →
inferno13–100.0517%10 Sept →
dust213–80.0513%10 Sept →
nuke13–100.1115%8 Sept →
mirage13–100.1116%8 Sept →
mirage4–13-0.0514%5 Sept →
dust213–70.0417%3 Sept →
inferno13–10-0.0020%3 Sept →
dust23–13-0.0117%1 Sept →
inferno10–130.0211%25 Aug →
anubis13–110.0117%25 Aug →
dust213–50.0134%25 Aug →
nuke11–130.0617%20 Aug →
inferno4–13-0.0312%10 Aug →
cache13–90.0719%10 Aug →
inferno13–90.0523%10 Aug →
dust24–13-0.0717%20 Jul →
ancient5–130.0718%20 Jul →
dust210–130.0629%20 Jul →
cache16–140.0614%16 Jul →
inferno4–130.0112%15 Jul →
mirage10–130.0616%15 Jul →
dust216–14-0.027%14 Jul →
dust214–16-0.044%14 Jul →
mirage13–50.0512%13 Jul →
ancient5–130.0414%13 Jul →
inferno13–60.0713%12 Jul →
mirage12–40.089%10 Jul →
cache13–70.0421%2 Jul →
dust23–9-0.0327%2 Jul →
ancient2–130.0411%2 Jul →
nuke13–50.1515%2 Jul →
dust213–50.0222%18 Jun →
inferno13–80.1016%18 Jun →
ancient11–130.056%18 Jun →
inferno13–110.0220%18 Jun →
mirage12–12-0.0317%16 Jun →
dust213–100.0724%16 Jun →
dust213–110.008%16 Jun →
inferno13–90.0414%16 Jun →
inferno14–160.015%11 Jun →
nuke13–40.2237%10 Jun →
inferno13–30.0810%9 Jun →
anubis13–60.0819%9 Jun →
mirage13–100.0523%20 May →
dust213–70.0519%19 May →
ancient12–160.0321%14 May →
inferno11–130.0310%14 May →
dust212–12-0.0620%14 May →
cache13–10.0814%14 May →
mirage13–100.0313%14 May →
ancient13–110.0527%13 May →
inferno8–130.018%13 May →
cache3–130.0627%13 May →
anubis11–13-0.029%13 May →
dust210–13-0.0210%13 May →
dust213–50.1521%12 May →
anubis7–130.0114%12 May →
mirage10–130.0714%12 May →
inferno22–200.0219%11 May →
inferno7–13-0.0216%7 May →
cache12–120.1221%7 May →
cache0–20.000%7 May →
dust213–100.1222%7 May →
nuke13–30.1117%6 May →
inferno13–80.0214%5 May →
dust213–50.1118%5 May →
mirage16–120.0217%5 May →
mirage5–13-0.0210%4 May →
mirage3–13-0.0016%4 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.