caapo- — CS2 Stats

AL76561198079789188[U:1:119523460]Steam profile ↗✓ No bans

1,831Tracked matches41%Win rate2020Tracked since

16,145Hours in CS

CSDB Rating3.7 Learning

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim48

Positioning41

Utility8

0–100 skill scores via Leetify.

Recent form

COLD53–45–2Last 10053%Win rateLWLWLWLLLL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim4.8

Aggression1.9

Utility0.8

Positioning4.1

Opening Duels0.0

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 NiKo 66% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

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 44% on CT to 5% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim4.8

Positioning4.1

Utility0.8

Mechanics6.0

Opening Duels1.8

Win Impact2.1

Composite 3.7/10 (Learning), 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 rating0.00−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time617ms+9ms

first ⅓ avg 609ms → last ⅓ avg 617ms

Headshot accuracy16.7%+0.2%

first ⅓ avg 16.5% → last ⅓ avg 16.7%

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

0.13Best rating — vertigo 13–8

13–0Biggest win — ancient

11Longest win streak

6–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 73% over 11mirageWeakest map · 41% over 22

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	22	9–13	41%	0.01
ancient	B	17	8–9	47%	0.03
inferno	C	16	7–9	44%	0.01
overpass	B	11	5–6	45%	0.00
nuke	S	11	8–3	73%	0.02
dust2	A	10	6–4	60%	-0.01
vertigo	A	5	3–2	60%	0.04
anubis	—	4	4–0	100%	0.02
cache	—	2	2–0	100%	0.02
edin	—	1	0–1	0%	-0.06
office	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

189,469Lifetime kills

0.80K/D

5,329Matches

43.6%Match win rate

55.3%Headshot % · Top 25% of tracked players

18.6%Shot accuracy · Top 10% of tracked players

16,442MVPs

16,145Hours (in match)

3,542Bombs planted

1,034Bombs defused

Most-used weapons

AK-4780,091

M4A4 / M4A1-S22,126

P2000 / USP-S20,067

Desert Eagle18,060

AWP17,549

Glock-185,461

Knife3,446

FAMAS3,438

Galil AR3,168

P2502,828

Lifetime map wins

20,378dust2

10,061inferno

1,207vertigo

1,176nuke

506office

479cbble

291train

199assault

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

Skill profile

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

15.8%Headshot accuracy

31.3%Accuracy (enemy spotted)

37.8%Spray accuracy

77.1%Counter-strafing

12.4°Preaim

620msReaction time

4.6%T opening success

44.3%CT opening success

0.61Enemies flashed / flash

5.5%Flash assists

8.58HE damage / grenade

8.46Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.404° — above the 12° mark we flag
Aim Training →

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.

41% win rate across 22 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
dust2	7–13	-0.14	18%	14 Jan →
dust2	13–9	0.00	25%	8 Dec →
edin	4–13	-0.06	4%	8 Dec →
office	13–8	-0.06	9%	8 Dec →
mirage	7–13	0.03	24%	8 Dec →
mirage	10–2	0.02	14%	13 Sept →
ancient	6–13	0.12	8%	24 Nov →
mirage	6–13	-0.05	15%	12 Nov →
inferno	7–13	-0.02	18%	12 Nov →
vertigo	3–13	-0.05	11%	12 Nov →
overpass	13–6	0.04	20%	28 Sept →
inferno	13–6	-0.04	11%	28 Sept →
ancient	7–13	-0.04	13%	28 Sept →
ancient	13–0	0.07	20%	28 Sept →
anubis	13–1	0.04	31%	28 Sept →
mirage	13–5	0.10	18%	28 Sept →
nuke	13–16	-0.02	10%	27 Sept →
inferno	15–15	0.02	8%	27 Sept →
mirage	10–13	0.04	18%	26 Sept →
inferno	9–13	-0.05	9%	25 Sept →
ancient	4–13	0.04	10%	25 Sept →
inferno	13–8	0.06	21%	25 Sept →
mirage	11–13	0.03	20%	21 Sept →
mirage	13–7	0.06	17%	20 Sept →
overpass	5–13	-0.12	28%	18 Sept →
mirage	10–13	-0.07	14%	18 Sept →
vertigo	6–13	0.06	21%	18 Sept →
nuke	13–9	0.05	23%	17 Sept →
ancient	13–7	0.04	16%	17 Sept →
mirage	10–13	-0.02	11%	17 Sept →
nuke	13–6	0.06	26%	17 Sept →
vertigo	13–3	-0.04	22%	17 Sept →
mirage	3–13	0.04	20%	17 Sept →
anubis	13–7	-0.02	6%	17 Sept →
inferno	13–11	0.08	13%	16 Sept →
mirage	13–8	0.02	25%	16 Sept →
inferno	10–13	-0.01	17%	16 Sept →
mirage	13–3	0.03	23%	16 Sept →
ancient	14–16	-0.02	16%	16 Sept →
ancient	13–8	0.03	19%	16 Sept →
mirage	6–11	-0.08	24%	15 Sept →
inferno	2–13	-0.01	31%	15 Sept →
overpass	11–13	0.03	13%	14 Sept →
ancient	5–13	-0.09	9%	14 Sept →
overpass	6–13	-0.00	11%	14 Sept →
ancient	4–13	-0.05	6%	13 Sept →
vertigo	13–8	0.13	26%	13 Sept →
inferno	13–11	-0.01	17%	9 Sept →
mirage	6–13	-0.05	14%	7 Sept →
inferno	5–13	-0.08	16%	6 Sept →
nuke	13–11	-0.01	19%	6 Sept →
nuke	9–13	-0.02	17%	6 Sept →
overpass	7–13	0.08	16%	6 Sept →
nuke	13–7	0.04	14%	6 Sept →
overpass	5–13	0.04	14%	6 Sept →
anubis	13–11	0.02	8%	5 Sept →
overpass	13–6	-0.03	5%	5 Sept →
ancient	13–11	0.04	17%	5 Sept →
nuke	13–6	0.07	11%	5 Sept →
mirage	13–4	0.05	17%	5 Sept →
vertigo	13–4	0.13	7%	5 Sept →
overpass	11–13	0.01	4%	5 Sept →
mirage	10–13	-0.03	15%	5 Sept →
ancient	8–13	-0.03	6%	4 Sept →
inferno	6–13	-0.04	6%	4 Sept →
ancient	13–3	0.06	16%	4 Sept →
nuke	13–6	-0.00	7%	4 Sept →
mirage	8–13	-0.02	11%	4 Sept →
inferno	10–13	0.05	17%	4 Sept →
anubis	13–10	0.02	18%	4 Sept →
overpass	13–9	0.02	14%	4 Sept →
ancient	6–13	-0.05	18%	4 Sept →
ancient	15–15	0.06	22%	3 Sept →
overpass	13–6	-0.01	14%	3 Sept →
nuke	13–7	0.02	9%	3 Sept →
mirage	13–4	0.08	25%	3 Sept →
ancient	13–5	0.08	22%	3 Sept →
ancient	13–8	0.09	10%	3 Sept →
nuke	13–4	0.06	22%	3 Sept →
mirage	13–5	0.03	15%	3 Sept →
overpass	11–2	0.00	18%	3 Sept →
ancient	6–0	0.13	12%	3 Sept →
inferno	16–13	0.07	24%	3 Sept →
inferno	13–10	0.02	12%	2 Sept →
nuke	5–13	0.02	16%	2 Sept →
inferno	4–13	0.03	23%	2 Sept →
inferno	16–13	0.06	19%	2 Sept →
dust2	7–9	0.07	18%	17 Aug →
dust2	9–3	-0.01	26%	17 Aug →
dust2	1–9	-0.15	11%	15 Aug →
mirage	2–9	-0.08	14%	15 Aug →
dust2	9–5	0.08	22%	15 Aug →
dust2	6–9	-0.03	12%	12 Aug →
cache	9–2	0.09	28%	12 Aug →
dust2	9–4	0.01	8%	9 Aug →
mirage	6–9	-0.01	11%	9 Aug →
cache	9–6	-0.04	21%	9 Aug →
mirage	16–13	0.09	10%	8 Aug →
dust2	9–1	0.12	13%	6 Aug →
dust2	9–7	-0.03	11%	6 Aug →