Gringo B — CS2 Stats

76561198217652927[U:1:257387199]Steam profile ↗✓ No bans

2,217Tracked matches39%Win rate2023Tracked since

CSDB Rating4.8 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova Master

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

Aim46

Positioning59

Utility53

0–100 skill scores via Leetify.

Recent form

COLD35–58–7Last 10035%Win rateLLLLLWLLWL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim4.6

Aggression7.2

Utility5.3

Positioning5.9

Opening Duels4.0

Clutch0.0

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 ropz 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 719ms 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

Aim4.6

Positioning5.9

Utility5.3

Mechanics6.3

Opening Duels4.0

Win Impact1.4

Composite 4.8/10 (Developing), 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 rating-0.02+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.02

Reaction time755ms+25ms

first ⅓ avg 729ms → last ⅓ avg 755ms

Headshot accuracy24.1%+3.1%

first ⅓ avg 20.9% → last ⅓ avg 24.1%

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

0.24Best rating — debris 9–2

13–3Biggest win — dust2

4Longest win streak

L5Current streak

8–6In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 56% over 9poseidonWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	8–15	35%	-0.01
cache	C	15	6–9	40%	-0.03
poseidon	D	14	3–11	21%	-0.05
nuke	C	13	5–8	38%	-0.02
vertigo	A	9	5–4	56%	0.01
mirage	D	8	2–6	25%	0.00
debris	C	5	2–3	40%	0.05
train	—	4	3–1	75%	-0.05
ancient	—	2	0–2	0%	-0.02
eldorado	—	2	0–2	0%	-0.07
office	—	2	0–2	0%	-0.02
inferno	—	1	0–1	0%	-0.06
anubis	—	1	0–1	0%	-0.04
alpine	—	1	1–0	100%	-0.08

Across the last 100 tracked matches.

Faceit stats

Combat

32Matches

44%Win rate

0.81Avg K/D

72.0ADR

44%Headshot %

Clutches & streaks

0%1v1 clutch win

29%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	25%	0.69	12.6
Vertigo	6	33%	0.77	14.3
Anubis	6	33%	0.95	6.7
Ancient	4	100%	0.97	13.3
Nuke	3	0%	0.57	11.7
Overpass	3	67%	0.57	9.7
Inferno	1	100%	1.60	16.0
Dust2	1	100%	1.20	12.0

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.

23.5%Headshot accuracy

30.0%Accuracy (enemy spotted)

32.7%Spray accuracy

78.1%Counter-strafing

12.0°Preaim

719msReaction time

40.4%T opening success

51.7%CT opening success

0.53Enemies flashed / flash

6.0%Flash assists

11.89HE damage / grenade

7.11Flashes / 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 12.0231° — above the 12° mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 718.7962ms — above the 700ms 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.

25% win rate across 8 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
cache	11–13	-0.06	28%	31 Aug →
poseidon	6–9	-0.01	38%	30 Aug →
nuke	4–9	-0.04	18%	30 Aug →
dust2	10–13	-0.04	28%	30 Aug →
poseidon	2–9	-0.25	10%	29 Aug →
nuke	13–4	0.15	33%	29 Aug →
ancient	9–13	0.05	17%	28 Aug →
cache	4–13	-0.03	21%	28 Aug →
dust2	13–11	0.02	30%	27 Aug →
dust2	6–9	0.07	43%	27 Aug →
mirage	8–13	0.02	26%	25 Aug →
train	1–3	-0.14	0%	25 Aug →
poseidon	5–9	-0.02	40%	25 Aug →
mirage	13–7	0.12	30%	25 Aug →
debris	5–9	0.05	28%	25 Aug →
vertigo	7–13	-0.04	18%	23 Aug →
nuke	11–13	-0.03	28%	23 Aug →
cache	13–7	-0.04	27%	23 Aug →
dust2	10–13	-0.09	26%	23 Aug →
cache	13–8	-0.01	24%	22 Aug →
nuke	12–12	-0.09	13%	21 Aug →
cache	8–13	-0.03	21%	19 Aug →
vertigo	10–13	0.06	15%	18 Aug →
nuke	13–5	-0.07	11%	18 Aug →
nuke	4–13	-0.05	20%	17 Aug →
dust2	5–13	0.04	25%	16 Aug →
vertigo	12–12	-0.02	25%	16 Aug →
train	9–1	-0.04	30%	16 Aug →
cache	5–11	-0.01	19%	16 Aug →
poseidon	2–9	-0.12	23%	16 Aug →
nuke	8–13	-0.01	28%	15 Aug →
nuke	3–13	-0.05	22%	15 Aug →
poseidon	6–9	-0.02	32%	14 Aug →
nuke	13–8	-0.04	21%	14 Aug →
vertigo	13–9	0.04	30%	13 Aug →
cache	7–13	0.02	19%	12 Aug →
vertigo	13–5	0.08	14%	12 Aug →
cache	7–13	-0.05	31%	12 Aug →
poseidon	9–6	0.03	27%	10 Aug →
dust2	8–13	-0.03	21%	10 Aug →
dust2	13–11	-0.02	19%	10 Aug →
nuke	8–13	-0.01	17%	10 Aug →
poseidon	2–9	-0.05	56%	10 Aug →
nuke	13–7	-0.04	23%	9 Aug →
mirage	7–13	-0.04	19%	9 Aug →
nuke	13–7	0.01	33%	9 Aug →
dust2	8–13	-0.00	27%	9 Aug →
poseidon	9–7	0.09	20%	7 Aug →
nuke	12–12	-0.00	11%	5 Aug →
dust2	10–13	0.02	16%	5 Aug →
dust2	13–3	0.03	22%	5 Aug →
dust2	3–13	-0.07	10%	4 Aug →
poseidon	6–9	0.14	14%	4 Aug →
poseidon	3–9	-0.19	25%	4 Aug →
debris	9–7	0.01	46%	4 Aug →
dust2	13–10	0.04	36%	1 Aug →
dust2	6–13	0.03	11%	31 Jul →
vertigo	13–5	0.06	23%	30 Jul →
cache	12–12	-0.05	23%	30 Jul →
dust2	7–13	-0.07	32%	30 Jul →
debris	9–2	0.24	30%	29 Jul →
dust2	6–13	0.06	22%	27 Jul →
inferno	12–12	-0.06	24%	26 Jul →
eldorado	6–9	-0.05	23%	26 Jul →
mirage	2–7	-0.00	20%	25 Jul →
vertigo	13–11	0.04	15%	25 Jul →
vertigo	13–4	-0.03	33%	20 Jul →
dust2	13–9	0.01	21%	20 Jul →
mirage	13–4	0.03	19%	20 Jul →
mirage	4–13	-0.10	20%	19 Jul →
poseidon	8–8	-0.11	14%	19 Jul →
debris	7–9	-0.06	17%	19 Jul →
poseidon	4–9	-0.15	26%	19 Jul →
dust2	9–13	-0.06	24%	18 Jul →
mirage	9–13	-0.03	19%	18 Jul →
train	13–5	-0.02	19%	18 Jul →
train	8–13	0.00	13%	17 Jul →
ancient	7–13	-0.09	19%	17 Jul →
office	8–13	-0.03	21%	14 Jul →
cache	11–13	-0.02	17%	14 Jul →
cache	13–8	0.04	16%	14 Jul →
cache	13–8	-0.03	18%	13 Jul →
debris	7–9	0.01	38%	13 Jul →
eldorado	5–9	-0.09	12%	13 Jul →
vertigo	9–13	-0.06	26%	12 Jul →
dust2	13–5	-0.03	15%	12 Jul →
cache	13–9	-0.06	20%	11 Jul →
dust2	11–13	-0.03	25%	8 Jul →
dust2	13–7	-0.00	24%	7 Jul →
dust2	6–13	-0.08	30%	7 Jul →
cache	3–13	-0.03	33%	5 Jul →
anubis	4–13	-0.04	30%	5 Jul →
alpine	13–10	-0.08	11%	5 Jul →
cache	13–11	-0.05	20%	5 Jul →
poseidon	9–2	0.09	22%	5 Jul →
poseidon	8–8	-0.07	12%	4 Jul →
dust2	13–11	0.00	23%	3 Jul →
dust2	8–13	-0.05	23%	29 Jun →
mirage	9–13	0.01	24%	29 Jun →
office	9–13	-0.02	20%	29 Jun →