LOSERQ — CS2 Stats

GE76561198119639917[U:1:159374189]Steam profile ↗✓ No bans

4,676Tracked matches66%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning59

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWWWLTLWLWL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

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

Aim7.2

Aggression9.1

Utility5.0

Positioning5.9

Opening Duels4.4

Clutch3.2

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 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency; 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. 615ms 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

Aim7.2

Positioning5.9

Utility5.0

Mechanics5.1

Opening Duels4.4

Win Impact10.0

Composite 6.3/10 (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 rating0.01−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time613ms+38ms

first ⅓ avg 575ms → last ⅓ avg 613ms

Headshot accuracy20.7%−0.1%

first ⅓ avg 20.7% → last ⅓ avg 20.7%

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

0.16Best rating — overpass 13–10

13–2Biggest win — ancient

9Longest win streak

W3Current streak

3–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

officeBest map · 67% over 6mirageWeakest map · 33% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	21	7–14	33%	0.00
ancient	B	15	8–7	53%	0.00
inferno	A	11	7–4	64%	0.01
nuke	A	9	5–4	56%	-0.02
anubis	A	8	5–3	63%	0.06
vertigo	C	7	3–4	43%	0.00
office	S	6	4–2	67%	-0.02
dust2	C	5	2–3	40%	0.02
overpass	—	4	2–2	50%	0.06
cache_b	—	4	3–1	75%	0.06
train	—	3	3–0	100%	0.06
fachwerk	—	2	1–1	50%	-0.02
boulder	—	1	1–0	100%	-0.01
shelter	—	1	1–0	100%	0.13
italy	—	1	1–0	100%	0.14
alpine	—	1	1–0	100%	-0.04
cache	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,904Matches

52%Win rate

1.07Avg K/D

75.2ADR

40%Headshot %

Clutches & streaks

36%1v1 clutch win

20%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	872	56%	1.14	15.8
Anubis	530	49%	1.11	15.0
Mirage	386	47%	1.12	15.9
Nuke	316	55%	1.16	15.7
Vertigo	283	61%	1.21	17.0
Inferno	154	56%	1.06	15.3
Overpass	81	49%	1.01	15.0
Dust2	57	32%	0.89	13.7

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.

20.5%Headshot accuracy

37.3%Accuracy (enemy spotted)

39.8%Spray accuracy

73.0%Counter-strafing

9.7°Preaim

615msReaction time

40.6%T opening success

54.3%CT opening success

0.46Enemies flashed / flash

9.2%Flash assists

8.04HE damage / grenade

8.24Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4595 — below the 0.5 mark we flag
Grenade Lineups →

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.

33% win rate across 21 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
nuke	13–8	-0.03	25%	28 Aug →
nuke	13–8	0.05	21%	26 Aug →
ancient	13–11	-0.05	22%	25 Aug →
fachwerk	2–13	-0.07	24%	22 Aug →
office	12–12	0.01	24%	22 Aug →
office	11–13	-0.10	7%	20 Aug →
ancient	13–10	0.00	22%	16 Aug →
mirage	14–16	0.04	35%	14 Aug →
ancient	13–3	0.05	27%	12 Aug →
nuke	2–13	-0.03	21%	11 Aug →
nuke	13–6	-0.02	10%	1 Aug →
vertigo	7–13	-0.01	20%	30 Jul →
vertigo	3–13	-0.05	20%	30 Jul →
train	13–9	0.04	31%	25 Jul →
inferno	9–0	0.14	28%	23 Jul →
anubis	7–13	-0.01	13%	23 Jul →
overpass	8–13	0.03	8%	16 Jul →
office	13–9	-0.03	26%	16 Jul →
mirage	13–4	0.03	24%	15 Jul →
inferno	13–7	0.02	21%	11 Jul →
office	13–7	-0.01	25%	9 Jul →
boulder	13–10	-0.01	22%	9 Jul →
fachwerk	13–9	0.02	24%	9 Jul →
shelter	13–8	0.13	15%	9 Jul →
italy	13–3	0.14	20%	8 Jul →
office	13–9	0.06	21%	8 Jul →
inferno	8–13	-0.02	21%	1 Jul →
ancient	13–9	0.06	20%	29 Jun →
anubis	13–6	-0.00	13%	26 Jun →
ancient	13–9	0.03	23%	19 Jun →
mirage	9–13	-0.07	8%	14 Jun →
ancient	13–2	0.08	29%	13 Jun →
ancient	16–14	-0.01	13%	7 Jun →
mirage	13–7	0.02	8%	30 May →
inferno	19–16	0.05	21%	29 May →
anubis	11–2	0.09	47%	27 May →
inferno	6–13	-0.03	12%	26 May →
inferno	13–10	0.02	29%	24 May →
ancient	9–13	-0.03	11%	24 May →
nuke	8–8	-0.13	16%	23 May →
inferno	9–6	-0.03	32%	23 May →
mirage	13–10	0.02	26%	11 May →
anubis	13–3	0.11	29%	10 May →
nuke	13–5	0.03	21%	10 May →
overpass	7–13	-0.01	31%	8 May →
nuke	2–13	-0.01	41%	4 May →
office	13–9	-0.04	29%	3 May →
alpine	5–1	-0.04	0%	3 May →
cache	10–13	-0.05	25%	3 May →
anubis	9–13	0.12	21%	3 May →
ancient	6–13	-0.05	14%	26 Apr →
ancient	2–13	-0.07	25%	23 Apr →
inferno	4–13	-0.09	11%	22 Apr →
mirage	10–13	-0.03	30%	21 Apr →
ancient	10–13	-0.04	24%	19 Apr →
ancient	13–7	0.06	11%	19 Apr →
inferno	11–13	-0.03	25%	18 Apr →
mirage	11–13	-0.06	16%	15 Apr →
vertigo	7–13	-0.01	26%	15 Apr →
mirage	13–10	-0.04	13%	15 Apr →
nuke	13–7	0.03	16%	14 Apr →
vertigo	13–9	0.01	19%	14 Apr →
anubis	9–13	0.06	20%	14 Apr →
cache_b	6–13	0.01	18%	13 Apr →
train	13–8	0.05	9%	13 Apr →
mirage	5–13	0.00	9%	13 Apr →
overpass	13–10	0.16	27%	13 Apr →
inferno	13–3	0.07	23%	13 Apr →
mirage	7–13	-0.04	16%	12 Apr →
mirage	6–13	-0.00	21%	12 Apr →
dust2	13–8	0.04	18%	12 Apr →
mirage	6–13	-0.07	18%	12 Apr →
mirage	8–13	0.02	27%	11 Apr →
vertigo	10–13	-0.02	13%	11 Apr →
vertigo	13–9	0.05	14%	11 Apr →
vertigo	13–7	0.05	11%	11 Apr →
ancient	5–13	-0.01	21%	11 Apr →
cache_b	13–7	0.06	50%	11 Apr →
mirage	13–4	0.06	16%	10 Apr →
mirage	13–7	0.10	29%	10 Apr →
ancient	9–13	0.01	16%	10 Apr →
mirage	6–13	0.01	22%	10 Apr →
train	13–2	0.09	17%	10 Apr →
anubis	13–7	0.07	20%	10 Apr →
mirage	8–13	0.01	15%	10 Apr →
mirage	23–25	0.01	13%	9 Apr →
mirage	3–13	0.05	20%	9 Apr →
cache_b	13–2	0.10	24%	9 Apr →
dust2	10–13	0.01	26%	8 Apr →
nuke	2–7	-0.04	9%	6 Apr →
mirage	11–13	0.02	30%	5 Apr →
cache_b	13–7	0.05	10%	5 Apr →
dust2	8–13	-0.06	19%	5 Apr →
dust2	10–13	0.12	31%	5 Apr →
inferno	13–11	0.04	30%	5 Apr →
ancient	0–9	-0.03	31%	5 Apr →
mirage	13–10	-0.02	18%	5 Apr →
dust2	13–4	0.01	31%	5 Apr →
overpass	22–19	0.05	19%	5 Apr →
anubis	13–7	0.03	8%	4 Apr →