Con-T — CS2 Stats

76561198813748473[U:1:853482745]

1,667Tracked matches53%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

FaceitLevel 9 · 1,678 ELOTop 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

Share this profile

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

Performance scores

Aim85

Positioning65

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY58–38–4Last 10058%Win rateLWWLLLWLLW

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.5

Aggression7.7

Utility6.1

Positioning6.5

Opening Duels4.1

Clutch5.4

Sharp aimerStrong 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 b1t 96% playstyle similarity

Most alike: opening-fight frequency, 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

Preaim. Mechanical aim is strong but the crosshair sits 10.9° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 55% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim8.5

Positioning6.5

Utility6.1

Mechanics8.0

Opening Duels4.1

Win Impact6.1

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.01

first ⅓ avg 0.05 → last ⅓ avg 0.04

Reaction time565ms−56ms

first ⅓ avg 621ms → last ⅓ avg 565ms

Headshot accuracy17.9%−0.5%

first ⅓ avg 18.4% → last ⅓ avg 17.9%

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

0.29Best rating — inferno 13–4

13–1Biggest win — cache

10Longest win streak

11–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 83% over 6mirageWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	26	11–15	42%	0.05
ancient	A	14	9–5	64%	0.02
inferno	S	12	8–4	67%	0.08
anubis	A	11	7–4	64%	0.00
mirage	C	10	4–6	40%	0.08
dust2	S	7	5–2	71%	0.02
vertigo	S	6	4–2	67%	0.05
nuke	S	6	5–1	83%	0.04
train	—	2	1–1	50%	0.14
office	—	2	1–1	50%	0.06
overpass	—	1	1–0	100%	0.11
debris	—	1	0–1	0%	-0.03
poseidon	—	1	1–0	100%	0.14
eldorado	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

275Matches

57%Win rate

1.08Avg K/D

84.5ADR

41%Headshot %

Clutches & streaks

47%1v1 clutch win

19%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	21	76%	1.27	19.7
Anubis	13	62%	0.99	16.3
Nuke	9	78%	1.57	19.8
Cache	9	56%	1.03	16.7
Dust2	9	56%	0.99	14.9
Inferno	8	50%	0.99	15.9
Mirage	7	57%	1.01	15.6
Train	2	50%	1.38	16.5

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.

17.9%Headshot accuracy

41.2%Accuracy (enemy spotted)

45.3%Spray accuracy

85.8%Counter-strafing

10.9°Preaim

564msReaction time

37.8%T opening success

55.4%CT opening success

0.53Enemies flashed / flash

7.8%Flash assists

11.52HE damage / grenade

6.18Flashes / 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 37.751% — below the 40% mark we flag

Spend your practice time on Mirage

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	11–13	-0.01	16%	26 Aug →
ancient	13–5	0.10	26%	26 Aug →
dust2	13–9	0.01	27%	26 Aug →
cache	9–13	0.07	14%	26 Aug →
inferno	8–13	-0.07	17%	23 Aug →
anubis	10–13	-0.02	10%	23 Aug →
ancient	13–3	0.05	12%	23 Aug →
cache	9–13	0.03	11%	23 Aug →
cache	8–13	-0.02	15%	23 Aug →
ancient	13–9	-0.00	16%	23 Aug →
cache	13–10	0.10	22%	23 Aug →
ancient	19–17	-0.03	16%	22 Aug →
cache	13–6	0.03	25%	22 Aug →
anubis	13–10	-0.00	15%	22 Aug →
nuke	11–13	0.02	19%	22 Aug →
ancient	13–10	-0.00	13%	22 Aug →
cache	14–16	0.01	19%	20 Aug →
ancient	13–4	0.01	24%	20 Aug →
anubis	8–13	-0.02	12%	20 Aug →
cache	13–7	0.01	20%	20 Aug →
anubis	7–13	-0.03	19%	20 Aug →
vertigo	13–9	0.10	14%	18 Aug →
inferno	13–4	0.29	20%	18 Aug →
dust2	11–13	0.08	22%	17 Aug →
dust2	13–5	0.09	25%	17 Aug →
cache	9–13	0.13	25%	17 Aug →
train	8–13	0.14	15%	17 Aug →
mirage	7–13	0.09	22%	16 Aug →
inferno	13–9	-0.04	12%	16 Aug →
nuke	16–14	0.01	20%	16 Aug →
inferno	13–11	0.04	18%	16 Aug →
cache	19–17	-0.02	17%	16 Aug →
ancient	13–11	0.06	14%	16 Aug →
cache	3–13	-0.05	15%	16 Aug →
nuke	13–6	-0.01	13%	15 Aug →
anubis	19–17	0.02	14%	15 Aug →
cache	13–8	0.05	20%	15 Aug →
anubis	13–2	0.09	18%	15 Aug →
cache	10–13	0.05	13%	14 Aug →
vertigo	6–13	0.04	25%	14 Aug →
cache	13–10	0.13	20%	14 Aug →
nuke	13–5	0.17	14%	13 Aug →
vertigo	13–8	0.01	18%	13 Aug →
train	13–3	0.14	21%	13 Aug →
ancient	4–13	0.04	13%	13 Aug →
cache	13–1	0.14	19%	13 Aug →
mirage	9–13	0.10	29%	13 Aug →
dust2	13–4	0.04	20%	13 Aug →
overpass	13–4	0.11	29%	12 Aug →
ancient	12–12	0.07	21%	12 Aug →
nuke	13–6	0.03	18%	11 Aug →
inferno	10–13	-0.04	21%	11 Aug →
ancient	10–13	-0.02	16%	11 Aug →
cache	12–12	0.06	10%	8 Aug →
anubis	9–13	0.01	19%	7 Aug →
cache	6–13	-0.07	7%	7 Aug →
mirage	6–13	-0.04	28%	7 Aug →
cache	13–3	0.16	10%	7 Aug →
vertigo	13–8	0.04	29%	7 Aug →
cache	9–13	0.15	17%	7 Aug →
mirage	11–13	0.10	12%	4 Aug →
inferno	13–2	0.19	17%	4 Aug →
dust2	13–7	0.01	13%	31 Jul →
mirage	13–10	0.01	13%	31 Jul →
debris	6–9	-0.03	31%	30 Jul →
office	3–13	0.03	28%	30 Jul →
vertigo	13–7	0.13	24%	30 Jul →
cache	12–12	0.07	11%	30 Jul →
inferno	8–13	0.07	25%	30 Jul →
cache	5–13	0.06	33%	30 Jul →
inferno	13–10	0.01	31%	29 Jul →
ancient	17–19	-0.06	12%	29 Jul →
cache	6–13	0.08	15%	28 Jul →
cache	7–13	0.00	21%	27 Jul →
mirage	13–8	0.17	24%	26 Jul →
poseidon	9–7	0.14	18%	26 Jul →
cache	13–9	0.05	21%	25 Jul →
mirage	7–13	0.16	16%	25 Jul →
mirage	5–13	0.04	11%	24 Jul →
cache	12–12	0.19	16%	23 Jul →
inferno	13–6	0.21	15%	23 Jul →
anubis	13–10	-0.01	18%	22 Jul →
mirage	10–0	0.13	26%	21 Jul →
ancient	16–13	-0.02	15%	19 Jul →
cache	13–11	-0.04	23%	19 Jul →
inferno	13–5	0.08	18%	19 Jul →
eldorado	9–7	-0.01	26%	16 Jul →
nuke	13–5	0.04	16%	12 Jul →
ancient	13–7	0.08	13%	12 Jul →
inferno	9–6	0.16	21%	12 Jul →
inferno	4–9	0.01	19%	12 Jul →
anubis	16–14	-0.06	14%	11 Jul →
ancient	11–13	0.02	8%	11 Jul →
anubis	13–9	-0.02	9%	11 Jul →
dust2	4–13	-0.10	18%	11 Jul →
anubis	13–8	0.06	15%	11 Jul →
mirage	13–9	0.09	21%	11 Jul →
dust2	13–9	0.01	10%	10 Jul →
cache	13–10	0.03	26%	10 Jul →
office	13–11	0.10	22%	9 Jul →