Collin — CS2 Stats

76561198327073272[U:1:366807544]Steam profile ↗

2,938Tracked matches57%Win rate2021Tracked since

CSDB Rating7.2 StrongAggressive Rifler

FaceitLevel 10 · 2,663 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim95

Positioning58

Utility49

0–100 skill scores via Leetify.

Recent form

HOT54–45–1Last 10054%Win rateWWLWWLWWWW

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating

Player DNA

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

Aim9.5

Aggression8.2

Utility4.9

Positioning5.8

Opening Duels3.7

Clutch4.0

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 ropz 95% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 37 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.

T-side openings. Opening success drops from 56% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.5

Positioning5.8

Utility4.9

Mechanics8.1

Opening Duels3.7

Win Impact7.2

Composite 7.2/10 (Strong), 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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time479ms−99ms

first ⅓ avg 578ms → last ⅓ avg 479ms

Headshot accuracy26.9%−3.2%

first ⅓ avg 30.0% → last ⅓ avg 26.9%

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

0.18Best rating — dust2 13–7

13–1Biggest win — anubis

5Longest win streak

W2Current streak

9–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 47% over 38

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	38	18–20	47%	0.02
dust2	S	18	12–6	67%	0.04
ancient	B	15	7–8	47%	0.01
cache	A	8	5–3	63%	0.03
anubis	S	7	5–2	71%	0.03
vertigo	B	6	3–3	50%	-0.02
nuke	—	4	3–1	75%	0.08
inferno	—	2	1–1	50%	0.01
overpass	—	1	0–1	0%	0.09
train	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (47% over 38). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,705Matches

52%Win rate

1.09Avg K/D

78.8ADR

56%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

14Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	931	51%	1.08	16.2
Ancient	500	51%	1.08	16.1
Dust2	461	50%	1.15	16.6
Anubis	345	53%	1.11	16.7
Nuke	243	54%	1.08	16.2
Inferno	158	53%	1.03	15.4
Overpass	24	50%	1.00	15.5
Cache	22	59%	1.13	17.4

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.

26.6%Headshot accuracy

39.2%Accuracy (enemy spotted)

41.1%Spray accuracy

86.4%Counter-strafing

8.6°Preaim

472msReaction time

33.6%T opening success

56.2%CT opening success

0.64Enemies flashed / flash

8.7%Flash assists

6.65HE damage / grenade

8.33Flashes / 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 33.5713% — 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.

47% win rate across 38 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
ancient	13–9	0.01	19%	25 Aug →
mirage	13–3	0.08	39%	23 Aug →
mirage	6–13	-0.06	33%	22 Aug →
mirage	13–4	0.02	20%	22 Aug →
mirage	16–14	-0.06	31%	22 Aug →
ancient	9–13	-0.01	29%	17 Aug →
mirage	13–9	0.08	28%	17 Aug →
anubis	13–9	0.02	15%	16 Aug →
dust2	13–6	-0.01	17%	16 Aug →
mirage	13–7	0.06	31%	16 Aug →
overpass	6–13	0.09	22%	16 Aug →
vertigo	2–13	-0.06	21%	16 Aug →
vertigo	2–13	-0.02	33%	16 Aug →
dust2	13–10	0.03	18%	16 Aug →
mirage	5–13	0.01	24%	15 Aug →
ancient	11–13	-0.04	20%	15 Aug →
mirage	7–13	-0.00	31%	15 Aug →
mirage	13–5	0.13	44%	15 Aug →
anubis	13–1	0.01	32%	15 Aug →
vertigo	2–13	-0.09	14%	14 Aug →
cache	13–9	0.02	32%	13 Aug →
anubis	13–10	0.04	27%	12 Aug →
mirage	13–16	-0.05	28%	12 Aug →
cache	13–8	0.04	27%	11 Aug →
ancient	12–11	0.05	28%	10 Aug →
mirage	11–13	0.08	34%	10 Aug →
ancient	13–8	0.02	26%	10 Aug →
mirage	15–19	-0.00	18%	9 Aug →
cache	16–19	0.02	27%	9 Aug →
ancient	13–11	0.10	36%	9 Aug →
ancient	16–12	0.01	19%	9 Aug →
mirage	10–13	0.05	25%	8 Aug →
mirage	13–9	0.01	39%	8 Aug →
mirage	1–13	-0.04	30%	7 Aug →
mirage	13–7	0.04	15%	7 Aug →
mirage	13–8	-0.01	32%	7 Aug →
ancient	23–25	-0.00	30%	7 Aug →
mirage	13–7	-0.02	25%	6 Aug →
ancient	7–13	-0.04	29%	6 Aug →
dust2	13–9	0.07	30%	6 Aug →
mirage	13–6	0.07	31%	6 Aug →
dust2	13–7	-0.01	33%	6 Aug →
mirage	7–13	-0.02	38%	5 Aug →
mirage	6–13	0.02	43%	5 Aug →
inferno	13–11	0.04	33%	5 Aug →
dust2	12–12	-0.04	19%	5 Aug →
ancient	8–13	-0.03	29%	4 Aug →
mirage	9–13	-0.08	28%	4 Aug →
mirage	13–11	0.07	38%	4 Aug →
ancient	7–13	0.03	29%	4 Aug →
anubis	13–6	0.02	20%	4 Aug →
dust2	13–3	0.11	25%	4 Aug →
mirage	13–11	-0.04	38%	4 Aug →
dust2	13–4	0.15	36%	4 Aug →
anubis	6–13	0.09	21%	1 Aug →
anubis	1–13	-0.05	14%	28 Jul →
dust2	10–13	0.03	40%	28 Jul →
ancient	8–13	-0.08	34%	19 Jul →
mirage	13–7	0.11	33%	17 Jul →
cache	13–6	0.10	28%	17 Jul →
mirage	9–13	-0.08	20%	17 Jul →
inferno	14–16	-0.03	15%	16 Jul →
vertigo	13–11	0.04	26%	16 Jul →
cache	29–31	0.06	30%	15 Jul →
mirage	11–13	0.11	32%	15 Jul →
mirage	10–13	0.01	30%	15 Jul →
dust2	10–13	0.04	30%	15 Jul →
mirage	9–13	0.02	26%	15 Jul →
dust2	11–13	0.06	25%	14 Jul →
dust2	13–7	0.18	47%	14 Jul →
nuke	13–4	0.16	36%	14 Jul →
nuke	13–6	0.18	29%	14 Jul →
dust2	13–8	0.15	38%	13 Jul →
ancient	11–13	0.08	37%	13 Jul →
mirage	11–13	0.03	41%	12 Jul →
mirage	2–13	-0.00	27%	12 Jul →
dust2	13–8	0.01	43%	12 Jul →
mirage	13–11	0.07	49%	12 Jul →
vertigo	13–9	0.03	36%	11 Jul →
mirage	10–13	-0.04	17%	11 Jul →
dust2	10–13	0.00	36%	11 Jul →
nuke	16–12	0.03	23%	9 Jul →
cache	13–10	0.01	24%	9 Jul →
dust2	19–17	-0.01	42%	9 Jul →
dust2	13–7	0.03	37%	7 Jul →
mirage	13–5	0.02	29%	6 Jul →
mirage	9–13	-0.09	21%	5 Jul →
cache	19–22	-0.02	35%	5 Jul →
ancient	10–4	0.04	20%	5 Jul →
ancient	16–12	0.06	33%	4 Jul →
dust2	11–13	-0.05	15%	4 Jul →
anubis	13–7	0.06	32%	4 Jul →
cache	13–6	0.01	18%	4 Jul →
vertigo	13–6	-0.02	37%	4 Jul →
nuke	7–13	-0.04	21%	1 Jul →
mirage	13–8	0.06	26%	1 Jul →
mirage	8–13	-0.01	23%	1 Jul →
train	5–13	0.02	18%	1 Jul →
dust2	13–6	0.05	18%	1 Jul →
mirage	13–2	0.09	33%	1 Jul →