Condawg

Condawg — CS2 Stats

US76561197963516183[U:1:3250455]Steam profile ↗✓ No bans

1,187Tracked matches66%Win rate2021Tracked since
CSDB Rating6.7 SolidPositional Player
CSDB Leaderboard#29342 of 253479 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,241 -759 26 Apr – 26 Sept · 32 days played
19,89525,650peak 25,65026 Apr26 Sept
Faceit ELO: 2,183 +0 29 Aug – 30 Aug · 2 observations
2,1832,183peak 2,18329 Aug30 Aug
25,650Peak Premier in tracked matches
2,183Highest Faceit ELO seen on CSDB
43Days played since 2026-04-25

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.

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CSDB.GGCondawgFACEITLevel 9STANDINGTop 20.7% of rankedPEAK ELO2,183csdb.gg/stats

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Performance scores

Aim66
Positioning74
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateTWWLWLLWWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.8pp headshot accuracy · −17ms reaction

Win rate −10pp 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 572ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 563ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 571ms

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 (+2.3 against its own average).

Aim6.6
Utility4.9
Positioning7.4
Opening Duels5.2
Clutch2.8

Limited utility dependence

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

jL

Plays most like jL 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Areas to improve

Reaction time. 593ms 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

Aim6.6
Positioning7.4
Utility4.9
Mechanics6.0
Opening Duels5.8
Win Impact10.0

Composite 6.7/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time602ms−76ms
first ⅓ avg 679ms → last ⅓ avg 602ms
Headshot accuracy20.1%−0.2%
first ⅓ avg 20.3% → last ⅓ avg 20.1%

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 · 13–4 · overpass, 22 May →
67%Best headshot accuracy · 2–7 · inferno, 8 Jun →
203msFastest reaction time · 2–0 · overpass, 4 Jul →
13–2Biggest win · cache, 7 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 77% over 13ancientWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2A2616–1062%-0.00
ancientD175–1229%-0.01
nukeS1310–377%-0.01
infernoB137–654%0.00
cacheD103–730%-0.03
mirageA95–456%-0.00
overpassS86–275%0.03
anubis—43–175%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

384Matches
58%Win rate
1.29Avg K/D
81.4ADR
52%Headshot %

Clutches & streaks

34%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3964%1.1115.7
Anubis3444%1.0515.3
Ancient3250%1.0616.7
Dust22255%1.0515.1
Nuke2040%0.9316.1
Overpass1979%1.1818.1
Mirage1850%1.0219.1
Cache450%1.0416.8

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.

20.3%Headshot accuracy
33.2%Accuracy (enemy spotted)
33.8%Spray accuracy
76.9%Counter-strafing
9.6°Preaim
593msReaction time
49.4%T opening success
57.0%CT opening success
0.58Enemies flashed / flash
2.3%Flash assists
10.63HE damage / grenade
4.88Flashes / match

Recommended for you

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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache15–15-0.0517%15 Oct →
dust213–9-0.0128%26 Sept →
nuke13–100.0126%25 Sept →
dust22–13-0.0615%25 Sept →
nuke13–70.0418%24 Sept →
cache8–13-0.0424%24 Sept →
cache9–13-0.0114%21 Sept →
anubis13–80.0023%21 Sept →
ancient13–50.0423%12 Sept →
anubis13–9-0.0217%30 Aug →
inferno13–9-0.0217%30 Aug →
dust28–13-0.0828%24 Aug →
inferno16–140.0521%24 Aug →
dust213–7-0.0018%22 Aug →
ancient2–50.0227%22 Aug →
anubis13–8-0.0214%19 Aug →
inferno0–4-0.000%19 Aug →
ancient13–11-0.0028%14 Aug →
inferno13–40.0612%14 Aug →
mirage13–5-0.0323%7 Aug →
cache13–2-0.056%7 Aug →
nuke1–4-0.0811%7 Aug →
dust21–6-0.0333%7 Aug →
dust213–60.0216%1 Aug →
inferno7–13-0.0727%31 Jul →
nuke13–80.0025%31 Jul →
inferno13–90.0119%30 Jul →
anubis10–130.0020%26 Jul →
dust27–00.0111%26 Jul →
nuke13–60.0127%26 Jul →
dust213–50.1023%26 Jul →
inferno10–13-0.0228%25 Jul →
ancient2–13-0.0526%25 Jul →
cache13–9-0.0625%25 Jul →
inferno13–8-0.0415%25 Jul →
dust210–13-0.0915%23 Jul →
nuke13–3-0.0247%23 Jul →
ancient8–13-0.0222%18 Jul →
mirage13–30.0724%18 Jul →
dust213–70.0223%18 Jul →
cache9–130.0231%18 Jul →
mirage10–13-0.0621%17 Jul →
mirage13–40.0524%15 Jul →
dust26–130.0428%15 Jul →
nuke13–9-0.0118%10 Jul →
cache11–13-0.0625%10 Jul →
dust211–130.0025%9 Jul →
ancient13–30.0416%9 Jul →
overpass16–130.0124%4 Jul →
overpass2–00.040%4 Jul →
ancient13–110.0919%4 Jul →
nuke13–40.0517%27 Jun →
cache13–11-0.0128%27 Jun →
mirage11–130.0628%27 Jun →
ancient8–13-0.0213%27 Jun →
ancient1–13-0.0622%25 Jun →
overpass6–13-0.0425%21 Jun →
mirage13–110.0133%21 Jun →
dust213–100.0233%21 Jun →
ancient5–13-0.0419%21 Jun →
ancient8–13-0.0512%9 Jun →
dust213–9-0.0415%8 Jun →
inferno2–70.0467%8 Jun →
dust213–70.0013%7 Jun →
overpass3–13-0.0237%29 May →
mirage13–8-0.0219%29 May →
nuke3–13-0.0518%29 May →
ancient3–13-0.0610%29 May →
dust24–13-0.0521%29 May →
nuke13–10-0.0312%23 May →
dust213–7-0.0423%23 May →
mirage6–13-0.0617%23 May →
overpass13–110.0921%23 May →
dust212–160.0020%22 May →
overpass13–40.1220%22 May →
ancient11–13-0.0213%22 May →
dust211–13-0.0318%16 May →
ancient1–8-0.0138%16 May →
cache8–13-0.0130%16 May →
dust213–40.0221%16 May →
inferno4–13-0.0017%16 May →
overpass13–10-0.0110%11 May →
dust213–50.0329%11 May →
inferno13–80.0019%11 May →
dust26–13-0.0322%5 May →
nuke14–16-0.0320%2 May →
dust213–100.0233%2 May →
inferno16–120.0317%2 May →
nuke13–40.0225%1 May →
ancient13–90.0316%30 Apr →
cache5–13-0.0121%29 Apr →
dust213–30.0016%27 Apr →
ancient15–150.039%27 Apr →
mirage0–3-0.0425%27 Apr →
inferno12–160.0226%26 Apr →
dust213–30.0713%26 Apr →
ancient1–8-0.0514%25 Apr →
nuke7–2-0.0633%25 Apr →
overpass13–110.0418%25 Apr →
dust213–110.0324%25 Apr →

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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