Condawg — CS2 Stats

76561197963516183[U:1:3250455]

1,173Tracked matches60%Win rate2021Tracked since

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating22,518Top 50% of 819 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)

CSDB Leaderboard#5679 of 19667 tracked

FaceitLevel 9 · 2,183 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning65

Utility51

0–100 skill scores via Leetify.

Recent form

HOT54–45–1Last 10054%Win rateLWWLWLWWWW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.6

Aggression6.5

Utility5.1

Positioning6.5

Opening Duels2.3

Clutch2.8

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like iM 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

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

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Positioning6.5

Utility5.1

Mechanics5.7

Opening Duels2.3

Win Impact8.3

Composite 6.1/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time615ms−32ms

first ⅓ avg 647ms → last ⅓ avg 615ms

Headshot accuracy21.7%+1.2%

first ⅓ avg 20.5% → last ⅓ avg 21.7%

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.

Highlights

0.12Best rating — overpass 13–4

13–2Biggest win — cache

6Longest win streak

11–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 75% over 12ancientWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	24	15–9	63%	-0.00
ancient	D	18	6–12	33%	-0.01
inferno	B	17	8–9	47%	-0.00
nuke	S	12	9–3	75%	-0.01
overpass	S	10	7–3	70%	0.02
mirage	A	9	5–4	56%	-0.00
cache	C	7	3–4	43%	-0.02
anubis	—	3	1–2	33%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

381Matches

58%Win rate

1.29Avg K/D

81.3ADR

52%Headshot %

Clutches & streaks

34%1v1 clutch win

18%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	38	63%	1.10	16.0
Anubis	34	44%	1.05	15.3
Ancient	32	50%	1.06	16.7
Dust2	22	55%	1.05	15.1
Overpass	19	79%	1.18	18.1
Nuke	19	42%	0.91	15.3
Mirage	18	50%	1.02	19.1
Cache	3	33%	0.93	16.3

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.

22.3%Headshot accuracy

33.8%Accuracy (enemy spotted)

36.0%Spray accuracy

75.7%Counter-strafing

10.5°Preaim

606msReaction time

30.5%T opening success

47.8%CT opening success

0.57Enemies flashed / flash

4.2%Flash assists

8.97HE damage / grenade

5.16Flashes / 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.

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 30.5401% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	8–13	-0.08	28%	24 Aug →
inferno	16–14	0.05	21%	24 Aug →
dust2	13–7	-0.00	18%	22 Aug →
ancient	2–5	0.02	27%	22 Aug →
anubis	13–8	-0.02	14%	19 Aug →
inferno	0–4	-0.00	0%	19 Aug →
ancient	13–11	-0.00	28%	14 Aug →
inferno	13–4	0.06	12%	14 Aug →
mirage	13–5	-0.03	23%	7 Aug →
cache	13–2	-0.05	6%	7 Aug →
nuke	1–4	-0.08	11%	7 Aug →
dust2	1–6	-0.03	33%	7 Aug →
dust2	13–6	0.02	16%	1 Aug →
inferno	7–13	-0.07	27%	31 Jul →
nuke	13–8	0.00	25%	31 Jul →
inferno	13–9	0.01	19%	30 Jul →
anubis	10–13	0.00	20%	26 Jul →
dust2	7–0	0.01	11%	26 Jul →
nuke	13–6	0.01	27%	26 Jul →
dust2	13–5	0.10	23%	26 Jul →
inferno	10–13	-0.02	28%	25 Jul →
ancient	2–13	-0.05	26%	25 Jul →
cache	13–9	-0.06	25%	25 Jul →
inferno	13–8	-0.04	15%	25 Jul →
dust2	10–13	-0.09	15%	23 Jul →
nuke	13–3	-0.02	47%	23 Jul →
ancient	8–13	-0.02	22%	18 Jul →
mirage	13–3	0.07	24%	18 Jul →
dust2	13–7	0.02	23%	18 Jul →
cache	9–13	0.02	31%	18 Jul →
mirage	10–13	-0.06	21%	17 Jul →
mirage	13–4	0.05	24%	15 Jul →
dust2	6–13	0.04	28%	15 Jul →
nuke	13–9	-0.01	18%	10 Jul →
cache	11–13	-0.06	25%	10 Jul →
dust2	11–13	0.00	25%	9 Jul →
ancient	13–3	0.04	16%	9 Jul →
overpass	16–13	0.01	24%	4 Jul →
overpass	2–0	0.04	0%	4 Jul →
ancient	13–11	0.09	19%	4 Jul →
nuke	13–4	0.05	17%	27 Jun →
cache	13–11	-0.01	28%	27 Jun →
mirage	11–13	0.06	28%	27 Jun →
ancient	8–13	-0.02	13%	27 Jun →
ancient	1–13	-0.06	22%	25 Jun →
overpass	6–13	-0.04	25%	21 Jun →
mirage	13–11	0.01	33%	21 Jun →
dust2	13–10	0.02	33%	21 Jun →
ancient	5–13	-0.04	19%	21 Jun →
ancient	8–13	-0.05	12%	9 Jun →
dust2	13–9	-0.04	15%	8 Jun →
inferno	2–7	0.04	67%	8 Jun →
dust2	13–7	0.00	13%	7 Jun →
overpass	3–13	-0.02	37%	29 May →
mirage	13–8	-0.02	19%	29 May →
nuke	3–13	-0.05	18%	29 May →
ancient	3–13	-0.06	10%	29 May →
dust2	4–13	-0.05	21%	29 May →
nuke	13–10	-0.03	12%	23 May →
dust2	13–7	-0.04	23%	23 May →
mirage	6–13	-0.06	17%	23 May →
overpass	13–11	0.09	21%	23 May →
dust2	12–16	0.00	20%	22 May →
overpass	13–4	0.12	20%	22 May →
ancient	11–13	-0.02	13%	22 May →
dust2	11–13	-0.03	18%	16 May →
ancient	1–8	-0.01	38%	16 May →
cache	8–13	-0.01	30%	16 May →
dust2	13–4	0.02	21%	16 May →
inferno	4–13	-0.00	17%	16 May →
overpass	13–10	-0.01	10%	11 May →
dust2	13–5	0.03	29%	11 May →
inferno	13–8	0.00	19%	11 May →
dust2	6–13	-0.03	22%	5 May →
nuke	14–16	-0.03	20%	2 May →
dust2	13–10	0.02	33%	2 May →
inferno	16–12	0.03	17%	2 May →
nuke	13–4	0.02	25%	1 May →
ancient	13–9	0.03	16%	30 Apr →
cache	5–13	-0.01	21%	29 Apr →
dust2	13–3	0.00	16%	27 Apr →
ancient	15–15	0.03	9%	27 Apr →
mirage	0–3	-0.04	25%	27 Apr →
inferno	12–16	0.02	26%	26 Apr →
dust2	13–3	0.07	13%	26 Apr →
ancient	1–8	-0.05	14%	25 Apr →
nuke	7–2	-0.06	33%	25 Apr →
overpass	13–11	0.04	18%	25 Apr →
dust2	13–11	0.03	24%	25 Apr →
inferno	13–8	-0.03	24%	25 Apr →
anubis	8–13	-0.05	20%	25 Apr →
inferno	9–13	-0.07	18%	24 Apr →
overpass	13–11	-0.01	21%	24 Apr →
ancient	13–5	0.04	26%	24 Apr →
inferno	6–13	-0.06	9%	22 Apr →
ancient	13–8	0.01	12%	20 Apr →
inferno	13–11	0.05	22%	20 Apr →
inferno	8–13	0.02	31%	19 Apr →
nuke	13–10	0.03	22%	19 Apr →
overpass	12–16	-0.03	15%	19 Apr →