C0nnyS

C0nnyS — CS2 Stats

76561198006824666[U:1:46558938]Steam profile ↗✓ No bans

911Tracked matches59%Win rate2020Tracked since
CSDB Rating6.5 SolidAll-Rounder
CSDB Leaderboard#31063 of 259008 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,135 +2,739 4 Feb – 23 Apr · 24 days played
21,15324,135peak 24,1354 Feb23 Apr
24,135Peak Premier in tracked matches
55Days played since 2025-02-01

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

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CSDB.GGC0nnySFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim84
Positioning48
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWWWWLLLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −8.7pp headshot accuracy · +6ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 567ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 563ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.4
Utility4.7
Positioning4.8
Opening Duels4.6
Clutch4.8

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 90% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; 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 36 points — deaths here waste a strong aim profile.

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

Reaction time. 571ms 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

Aim8.4
Positioning4.8
Utility4.7
Mechanics6.7
Opening Duels4.8
Win Impact7.9

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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time572ms−25ms
first ⅓ avg 597ms → last ⅓ avg 572ms
Headshot accuracy21.3%−1.9%
first ⅓ avg 23.2% → last ⅓ avg 21.3%

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

0.12Best match rating · 11–13 · ancient, 15 Oct →
67%Best headshot accuracy · 13–3 · ancient, 4 Apr →
391msFastest reaction time · 7–13 · overpass, 26 Sept →
13–0Biggest win · overpass, 8 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
12–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 73% over 22dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageS2216–673%0.01
ancientB2010–1050%0.02
nukeC167–944%0.01
infernoB115–645%0.00
anubisA95–456%0.02
dust2D92–722%-0.00
cacheB63–350%0.02
train—41–325%0.00
overpass—31–233%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,045Matches
52%Win rate
1.11Avg K/D
78.5ADR
39%Headshot %

Clutches & streaks

44%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3751%0.9815.3
Anubis2343%0.8914.9
Nuke2065%1.0819.3
Ancient1338%1.0616.8
Overpass1258%1.0117.8
Dust21136%0.9113.4
Cache1173%1.3316.2
Vertigo967%0.8013.2

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.

21.1%Headshot accuracy
36.2%Accuracy (enemy spotted)
41.5%Spray accuracy
80.3%Counter-strafing
7.8°Preaim
571msReaction time
43.0%T opening success
55.6%CT opening success
0.65Enemies flashed / flash
2.4%Flash assists
8.35HE damage / grenade
7.87Flashes / 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.

22% win rate across 9 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
mirage13–7-0.0717%25 Oct →
cache22–20-0.028%24 Oct →
cache13–11-0.0314%19 Oct →
anubis16–14-0.0025%16 Oct →
dust26–13-0.0221%15 Oct →
ancient11–130.1217%15 Oct →
cache5–130.0117%13 Oct →
anubis8–13-0.0316%10 Oct →
cache13–110.0325%9 Oct →
mirage13–10-0.0523%8 Oct →
mirage13–50.0111%7 Oct →
nuke13–80.0131%5 Sept →
ancient6–13-0.0441%5 Sept →
mirage13–9-0.0019%5 Sept →
cache8–130.0941%5 Sept →
mirage13–10-0.0233%22 Jul →
cache12–120.0520%20 Jul →
mirage13–50.0022%20 Jul →
dust210–13-0.0528%23 Jun →
inferno16–14-0.0523%23 Apr →
dust213–80.0221%20 Apr →
inferno10–13-0.0820%20 Apr →
mirage9–130.0330%20 Apr →
ancient10–130.0121%10 Apr →
nuke5–130.0212%10 Apr →
anubis13–20.0728%9 Apr →
mirage8–13-0.0911%9 Apr →
mirage16–12-0.0113%8 Apr →
overpass13–00.0939%8 Apr →
anubis13–40.057%8 Apr →
mirage13–110.0016%7 Apr →
ancient8–13-0.0118%2 Feb →
mirage13–40.0419%2 Feb →
overpass9–130.0220%16 Dec →
mirage13–40.0521%16 Dec →
overpass7–13-0.1010%26 Sept →
ancient13–7-0.0326%29 Aug →
nuke13–40.0731%29 Aug →
inferno13–90.0332%24 Jul →
nuke17–190.0532%24 Jun →
nuke6–13-0.0113%23 Jun →
ancient1–13-0.1029%24 Apr →
train10–130.0217%15 Apr →
mirage3–13-0.0317%15 Apr →
nuke13–100.0247%11 Apr →
ancient13–50.0736%11 Apr →
mirage13–70.1126%11 Apr →
nuke9–13-0.0342%10 Apr →
anubis9–13-0.0127%10 Apr →
mirage10–13-0.0021%6 Apr →
train11–130.0129%5 Apr →
nuke15–150.0317%5 Apr →
nuke13–4-0.0230%4 Apr →
ancient13–30.0367%4 Apr →
mirage11–130.0046%4 Apr →
dust211–130.0230%3 Apr →
mirage13–100.0722%3 Apr →
nuke13–6-0.0323%2 Apr →
train13–110.0533%2 Apr →
anubis11–130.0619%31 Mar →
ancient13–40.0716%31 Mar →
dust26–13-0.0924%29 Mar →
inferno13–110.0529%29 Mar →
nuke13–110.0821%29 Mar →
dust21–130.0128%28 Mar →
inferno11–130.0429%27 Mar →
inferno13–80.0539%16 Mar →
ancient13–60.0631%16 Mar →
dust24–130.0235%12 Mar →
train8–13-0.0715%12 Mar →
nuke13–80.0330%2 Mar →
ancient3–13-0.0119%2 Mar →
anubis13–110.0023%1 Mar →
mirage13–60.0326%1 Mar →
inferno6–13-0.0341%1 Mar →
ancient3–13-0.0322%1 Mar →
ancient13–30.0926%28 Feb →
inferno2–13-0.0236%28 Feb →
inferno5–130.0019%26 Feb →
ancient13–90.0836%26 Feb →
anubis13–16-0.0226%25 Feb →
dust25–13-0.0419%16 Feb →
ancient11–13-0.0319%14 Feb →
inferno13–110.0424%14 Feb →
mirage16–130.0927%14 Feb →
dust213–100.1120%13 Feb →
ancient11–13-0.0120%13 Feb →
nuke9–130.0218%12 Feb →
mirage2–13-0.0615%12 Feb →
ancient9–130.0114%12 Feb →
nuke15–15-0.0123%4 Feb →
nuke6–130.0026%4 Feb →
mirage13–90.1010%4 Feb →
ancient13–00.0716%3 Feb →
mirage13–70.0421%2 Feb →
ancient13–50.0614%2 Feb →
inferno15–15-0.0224%1 Feb →
ancient13–90.0318%1 Feb →
anubis13–110.0316%1 Feb →
nuke6–13-0.0235%1 Feb →

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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