Cammy

Cammy — CS2 Stats

SG76561198279731090[U:1:319465362]Steam profile ↗✓ No bans

1,526Tracked matches48%Win rate2020Tracked since
5,087Hours in CS19Hrs last 2 wks
CSDB Rating6.2 SolidSupport
Premier CS Rating23,851Top 25% of 204,316 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#32549 of 251462 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). 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: 23,851 -691 1 Aug – 13 Oct · 20 days played
23,58525,145peak 25,1451 Aug13 Oct
25,145Peak Premier in tracked matches
33Days played since 2026-07-29

Premier CS Rating

  • 1,294 below peak (25,145)
  • -1,149 over 30 days · declining
  • Next: Red band at 25,000 — 1,149 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink band first seen 2026-08-30

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches51——
Win rate55%——
K/D1.00——
Headshot %52%——

Measured 18 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate40.6%46.9%49.2%8.7% short
Shot accuracy12.5%13.0%13.4%0.8% short
Kill/death ratio1.161.081.12above
Match win rate53.8%46.7%48.5%above

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGCammyPREMIER23,851 · Pink bandcsdb.gg/stats

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Performance scores

Aim79
Positioning48
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY60–34–6Last 10060%Win rateLLWLLLWWLW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +0.2pp headshot accuracy · −44ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 491ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 481ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 503ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim7.9
Utility6.7
Positioning4.8
Opening Duels2.3

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: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Aim7.9
Positioning4.8
Utility6.7
Mechanics6.3
Opening Duels3.2
Win Impact4.4

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time503ms−2ms
first ⅓ avg 505ms → last ⅓ avg 503ms
Headshot accuracy21.8%−1.6%
first ⅓ avg 23.4% → last ⅓ avg 21.8%

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

0.15Best match rating · 13–5 · nuke, 6 Sept →
53%Best headshot accuracy · 13–2 · dust2, 7 Sept →
313msFastest reaction time · 13–8 · inferno, 13 Aug →
13–0Biggest win · dust2, 1 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
5–6In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 86% over 7anubisWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2S2719–870%0.02
mirageB2412–1250%0.02
infernoA149–564%0.02
anubisC146–843%-0.01
cacheA95–456%0.02
nukeS76–186%0.02
ancient—42–250%-0.01
train—11–0100%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

132,902Lifetime kills
1.16K/D · Top 50% of Pink band
6,264Matches
53.8%Match win rate · Top 10% of Pink band
40.6%Headshot %
12.5%Shot accuracy
23,000MVPs
2,569Hours (in match)
7,264Bombs planted
2,736Bombs defused

Most-used weapons

AK-4735,739
AWP20,123
P2503,283
Knife2,716
SSG 082,704
MAG-72,425

Lifetime map wins

11,272dust2
9,987inferno
2,379train
2,025nuke
1,819cbble
1,040vertigo
182office
112italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.2%Headshot accuracy
33.5%Accuracy (enemy spotted)
36.3%Spray accuracy
78.3%Counter-strafing
9.1°Preaim
510msReaction time
48.0%T opening success
37.4%CT opening success
0.59Enemies flashed / flash
5.5%Flash assists
6.96HE damage / grenade
21.99Flashes / 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 37.4333% — below the 40% mark we flag

Spend your practice time on Anubis

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.069%13 Oct →
cache4–130.0447%13 Oct →
mirage13–100.0420%13 Oct →
inferno6–13-0.0342%13 Oct →
inferno2–7-0.0425%12 Oct →
mirage5–13-0.0521%12 Oct →
dust213–10.1022%12 Oct →
nuke13–4-0.0210%11 Oct →
mirage11–13-0.0213%11 Oct →
anubis13–6-0.0013%11 Oct →
nuke8–13-0.0423%10 Oct →
inferno13–3-0.0125%10 Oct →
anubis13–90.0728%10 Oct →
mirage13–6-0.0317%9 Oct →
dust213–11-0.0115%7 Oct →
mirage8–130.0329%7 Oct →
dust213–80.0316%7 Oct →
dust29–13-0.0714%5 Oct →
dust213–10.0026%5 Oct →
dust213–6-0.0827%5 Oct →
mirage13–50.0041%5 Oct →
mirage9–130.0717%4 Oct →
dust213–90.0122%3 Oct →
anubis10–13-0.0612%3 Oct →
dust26–13-0.0513%3 Oct →
anubis5–13-0.0830%26 Sept →
anubis12–12-0.0024%26 Sept →
cache9–130.018%25 Sept →
ancient8–130.0112%25 Sept →
mirage13–8-0.0130%25 Sept →
anubis6–130.0125%23 Sept →
cache13–9-0.0214%23 Sept →
cache13–80.0829%23 Sept →
dust213–50.0029%22 Sept →
anubis13–70.0119%22 Sept →
dust210–130.0228%22 Sept →
ancient3–13-0.0428%22 Sept →
mirage13–80.0819%22 Sept →
anubis9–130.0221%22 Sept →
inferno11–13-0.0316%18 Sept →
anubis13–4-0.0215%18 Sept →
anubis13–7-0.0421%18 Sept →
mirage13–2-0.0614%18 Sept →
inferno11–130.0133%18 Sept →
dust212–120.0823%10 Sept →
cache12–120.0318%10 Sept →
anubis9–13-0.0219%10 Sept →
nuke13–100.0129%10 Sept →
dust213–70.0022%10 Sept →
cache13–110.0129%9 Sept →
inferno13–30.0318%9 Sept →
dust213–100.0318%9 Sept →
mirage12–120.1216%7 Sept →
dust213–20.1053%7 Sept →
inferno13–110.0927%7 Sept →
dust28–10.0820%7 Sept →
ancient13–10-0.0813%7 Sept →
mirage13–6-0.0116%7 Sept →
nuke13–9-0.026%6 Sept →
inferno13–30.0542%6 Sept →
inferno13–30.0732%6 Sept →
dust213–3-0.0338%6 Sept →
dust26–130.0430%6 Sept →
nuke13–50.1522%6 Sept →
anubis11–13-0.0411%3 Sept →
dust213–80.0430%31 Aug →
nuke13–100.0628%30 Aug →
inferno13–30.0731%26 Aug →
mirage13–50.0629%23 Aug →
anubis10–130.0224%23 Aug →
dust213–100.0714%23 Aug →
dust213–70.0122%17 Aug →
inferno13–80.0326%13 Aug →
mirage13–70.0133%13 Aug →
dust212–120.0530%13 Aug →
train13–90.0731%13 Aug →
mirage13–90.0243%13 Aug →
inferno13–6-0.0231%12 Aug →
dust213–110.0121%12 Aug →
dust213–11-0.0114%12 Aug →
inferno7–13-0.0214%10 Aug →
nuke13–10-0.0031%10 Aug →
ancient13–20.0727%6 Aug →
mirage8–130.0120%6 Aug →
cache13–4-0.0315%6 Aug →
mirage12–120.0729%5 Aug →
dust211–13-0.0322%4 Aug →
mirage13–5-0.0038%4 Aug →
mirage5–13-0.0015%2 Aug →
cache7–13-0.0222%1 Aug →
mirage11–130.0219%1 Aug →
anubis13–40.0518%1 Aug →
dust213–30.0014%1 Aug →
dust213–00.0822%1 Aug →
mirage13–00.1116%1 Aug →
dust28–130.1329%1 Aug →
inferno13–70.0213%1 Aug →
cache13–90.0720%1 Aug →
mirage5–13-0.0125%1 Aug →
mirage10–13-0.0113%29 Jul →

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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