Connor๐Ÿ

Connor๐Ÿ โ€” CS2 Stats

GB76561198799709141[U:1:839443413]Steam profile โ†—โœ“ No bans

2,620Tracked matches40%Win rate2021Tracked since
1,946Hours in CS
CSDB Rating5.0 DevelopingPositional Player
FaceitLevel 8 ยท 1,913 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation โ€” history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking โ†’

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,086), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here โ€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate41.2%46.8%48.3%7.1% short
Shot accuracy14.8%13.0%13.2%above
Kill/death ratio1.011.061.070.06 short
Match win rate44.8%46.3%46.9%2.2% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms โ€” not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGConnor๐ŸFACEITLevel 8 ยท 1,913 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere โ€” it is generated in your browser when you click.

Performance scores

Aim66
Positioning60
Utility41

0โ€“100 skill scores via Leetify.

Recent form

COLD50โ€“50Last 10050%Win rateWWLLLLWLLL

Last 10 vs previous 10: โˆ’20pp win rate ยท +0.01 avg rating ยท +0.0pp headshot accuracy ยท โˆ’57ms reaction

Win rate down 20pp across the last 10 against the 10 before โ€” more than a 10-match window's normal noise (ยฑ20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 ยท 10 ยท 20 matches

Last 5

  • 2โ€“3 ยท 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 516ms

Last 10

  • 3โ€“7 ยท 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 528ms

Last 20

  • 8โ€“12 ยท 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 557ms

Newest first, from the last 100 tracked matches. Each block is its own sample โ€” one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player โ€” Positioning stands above the rest of this profile (+1.1 against its own average).

Aim6.6
Utility4.1
Positioning6.0
Opening Duels5.8
Clutch3.6

Strong CT-side opener

Style profile from tracked-match aggregates โ€” 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 โ€” 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: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions โ€” it says how you play, not that you play at their level. Full comparison โ†’

Strengths & areas to improve

Strengths

CT openings. 61% CT opening-duel success โ€” winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 29% on T โ€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 559ms from enemy-visible to first shot leaves fights decided before they start โ€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers โ€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.6
Positioning6.0
Utility4.1
Mechanics5.8
Opening Duels3.9
Win Impact1.7

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (ร—0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first โ…“ avg -0.01 โ†’ last โ…“ avg -0.00
Reaction time572msโˆ’2ms
first โ…“ avg 575ms โ†’ last โ…“ avg 572ms
Headshot accuracy14.8%+2.0%
first โ…“ avg 12.8% โ†’ last โ…“ avg 14.8%

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

0.17Best match rating ยท 13โ€“10 ยท vertigo, 5 Sept โ†’
30%Best headshot accuracy ยท 13โ€“9 ยท inferno, 9 Apr โ†’
344msFastest reaction time ยท 2โ€“13 ยท ancient, 31 Jul โ†’
13โ€“3Biggest win ยท office, 25 Jul โ†’

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
9โ€“12In matches decided by โ‰ค2 rounds
10Overtime games

Map breakdown

overpassBest map ยท 80% over 5trainWeakest map ยท 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientB2412โ€“1250%-0.02
infernoB157โ€“847%-0.02
anubisB157โ€“847%-0.01
dust2C125โ€“742%-0.00
nukeB126โ€“650%0.01
mirageB84โ€“450%-0.01
overpassS54โ€“180%-0.04
trainD51โ€“420%-0.03
vertigoโ€”22โ€“0100%0.13
officeโ€”11โ€“0100%0.10
grailโ€”11โ€“0100%-0.01

Across the last 100 tracked matches.

Lifetime stats

77,218Lifetime kills
1.01K/D
3,548Matches
44.8%Match win rate
41.2%Headshot %
14.8%Shot accuracy ยท Top 50% of Level 8 players
8,243MVPs
1,946Hours (in match)
4,946Bombs planted
991Bombs defused

Most-used weapons

AK-4727,312
AWP8,106
Knife2,229
P2501,816
MP91,811

Lifetime map wins

5,629inferno
4,276dust2
4,073nuke
3,999vertigo
469train
95safehouse
92office
70lake

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

Faceit stats

Combat

2,196Matches
50%Win rate
1.03Avg K/D
76.2ADR
37%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage16843%0.9815.0
Anubis15856%1.1016.2
Ancient15244%1.0316.3
Inferno11350%0.9915.2
Dust210946%1.0015.7
Nuke7053%1.0015.5
Vertigo4248%1.0417.5
Overpass3355%0.9714.1

Faceit-match stats via the FACEIT Data API โ€” a separate match pool from the sections above.

Skill profile

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

14.3%Headshot accuracy
34.0%Accuracy (enemy spotted)
36.4%Spray accuracy
76.2%Counter-strafing
9.1ยฐPreaim
559msReaction time
29.0%T opening success
61.4%CT opening success
0.55Enemies flashed / flash
5.5%Flash assists
9.77HE damage / grenade
7.08Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag โ€” the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads โ€” usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.293% โ€” below the 15% mark we flag

    Aim Training โ†’
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.9955% โ€” below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games โ€” your weakest map with enough games to be worth reading into.

Train callouts & strategy โ†’

Recent matches

MapScoreRatingHS%Date
vertigo13โ€“100.1712%5 Sept โ†’
inferno16โ€“13-0.0412%4 Aug โ†’
ancient2โ€“13-0.0214%31 Jul โ†’
anubis11โ€“13-0.0711%29 Jul โ†’
inferno3โ€“13-0.1224%28 Jul โ†’
anubis13โ€“16-0.0115%27 Jul โ†’
office13โ€“30.1011%25 Jul โ†’
inferno10โ€“13-0.0215%22 Jul โ†’
inferno16โ€“190.0618%22 Jul โ†’
inferno17โ€“19-0.0012%8 Jun โ†’
inferno1โ€“13-0.0217%29 May โ†’
vertigo13โ€“110.0910%29 May โ†’
overpass16โ€“14-0.0011%10 Mar โ†’
ancient13โ€“110.0115%9 Mar โ†’
dust213โ€“7-0.0714%1 Mar โ†’
nuke11โ€“13-0.0116%10 Feb โ†’
dust211โ€“130.009%7 Feb โ†’
dust25โ€“13-0.0714%31 Jan โ†’
nuke9โ€“130.0421%28 Jan โ†’
dust213โ€“100.0117%24 Jan โ†’
ancient13โ€“80.0115%24 Jan โ†’
dust210โ€“130.0117%18 Jan โ†’
inferno16โ€“130.0318%17 Oct โ†’
ancient1โ€“130.0323%17 Oct โ†’
nuke10โ€“13-0.027%23 Sept โ†’
ancient11โ€“13-0.098%8 Sept โ†’
ancient13โ€“40.0224%8 Sept โ†’
ancient13โ€“11-0.0414%14 Aug โ†’
mirage10โ€“13-0.0613%14 Aug โ†’
ancient8โ€“13-0.0213%5 Aug โ†’
overpass13โ€“11-0.0318%5 Aug โ†’
nuke9โ€“130.0015%5 Aug โ†’
dust213โ€“100.0517%4 Aug โ†’
ancient16โ€“120.0415%1 Aug โ†’
overpass13โ€“50.0118%1 Aug โ†’
inferno11โ€“13-0.0012%31 Jul โ†’
dust29โ€“130.0120%31 Jul โ†’
nuke19โ€“16-0.0014%30 Jul โ†’
ancient11โ€“130.0318%27 Jul โ†’
inferno13โ€“11-0.0216%27 Jul โ†’
inferno13โ€“7-0.0015%27 Jul โ†’
nuke13โ€“70.0819%22 Jul โ†’
overpass13โ€“8-0.0810%21 Jul โ†’
train16โ€“13-0.0112%21 Jul โ†’
train9โ€“130.0219%20 Jul โ†’
overpass8โ€“13-0.0814%16 Jul โ†’
nuke13โ€“80.0817%13 Jul โ†’
anubis13โ€“70.0718%12 Jul โ†’
anubis10โ€“130.0415%12 Jul โ†’
ancient5โ€“13-0.0610%11 Jul โ†’
dust211โ€“13-0.0420%11 Jul โ†’
ancient9โ€“13-0.0212%11 Jul โ†’
anubis13โ€“10-0.0218%10 Jul โ†’
inferno13โ€“110.0113%10 Jul โ†’
nuke6โ€“13-0.0513%10 Jul โ†’
anubis13โ€“3-0.035%9 Jul โ†’
anubis13โ€“7-0.0613%5 Jul โ†’
train11โ€“13-0.0118%4 Jul โ†’
inferno11โ€“13-0.0821%4 Jul โ†’
grail13โ€“6-0.0116%4 Jul โ†’
dust213โ€“90.0611%4 Jul โ†’
ancient8โ€“13-0.0617%3 Jul โ†’
anubis11โ€“13-0.0220%3 Jul โ†’
anubis10โ€“13-0.014%2 Jul โ†’
mirage8โ€“13-0.0919%1 Jul โ†’
anubis13โ€“60.0210%1 Jul โ†’
nuke13โ€“90.0711%30 Jun โ†’
mirage13โ€“60.0510%30 Jun โ†’
dust213โ€“70.0319%29 Jun โ†’
nuke7โ€“13-0.0212%17 Jun โ†’
dust29โ€“13-0.0311%17 Jun โ†’
nuke13โ€“11-0.0124%17 Jun โ†’
anubis10โ€“13-0.0010%16 Jun โ†’
anubis8โ€“13-0.0310%16 Jun โ†’
mirage3โ€“130.0411%15 Jun โ†’
anubis13โ€“100.0210%6 Jun โ†’
ancient13โ€“10-0.0016%12 May โ†’
nuke13โ€“60.0112%12 May โ†’
inferno8โ€“13-0.0118%11 May โ†’
ancient13โ€“90.0110%7 May โ†’
anubis10โ€“13-0.0613%7 May โ†’
ancient11โ€“13-0.0211%6 May โ†’
ancient13โ€“10-0.046%6 May โ†’
dust28โ€“130.008%5 May โ†’
train1โ€“13-0.0515%5 May โ†’
mirage13โ€“9-0.0018%3 May โ†’
ancient13โ€“90.0223%3 May โ†’
ancient10โ€“13-0.0012%11 Apr โ†’
inferno13โ€“9-0.0430%9 Apr โ†’
train9โ€“13-0.0910%8 Apr โ†’
ancient5โ€“13-0.0211%7 Apr โ†’
mirage13โ€“100.0316%7 Apr โ†’
ancient13โ€“9-0.057%7 Apr โ†’
ancient13โ€“100.0112%7 Apr โ†’
ancient13โ€“8-0.028%5 Apr โ†’
mirage9โ€“13-0.0713%5 Apr โ†’
anubis13โ€“80.0410%5 Apr โ†’
mirage16โ€“140.0211%3 Apr โ†’
ancient5โ€“13-0.098%3 Apr โ†’
inferno13โ€“40.007%3 Apr โ†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone โ†’Inventory value for this account โ†’Where does this rating sit? Premier rank tiers โ†’