bertt — CS2 Stats

76561198257072614[U:1:296806886]✓ No bans

472Tracked matches60%Win rate2023Tracked since

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating9,210Light Blue band · top ~58.7% of ranked players (population est.)

FaceitLevel 3 · 567 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning52

Utility57

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLLWWLLWLLL

Last 10 vs previous 10: -50pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.2

Aggression5.6

Utility5.7

Positioning5.2

Opening Duels1.2

Clutch2.6

Effective flashes

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 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 599ms 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

Aim6.2

Positioning5.2

Utility5.7

Mechanics6.6

Opening Duels1.2

Win Impact8.3

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03

first ⅓ avg -0.02 → last ⅓ avg 0.01

Reaction time599ms−5ms

first ⅓ avg 604ms → last ⅓ avg 599ms

Headshot accuracy17.5%+3.4%

first ⅓ avg 14.1% → last ⅓ avg 17.5%

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

0.10Best rating — mirage 13–1

13–1Biggest win — mirage

6Longest win streak

L2Current streak

3–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 60% over 15anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	-0.00
dust2	C	19	7–12	37%	-0.02
inferno	B	16	8–8	50%	-0.01
cache	A	15	9–6	60%	-0.00
ancient	C	8	3–5	38%	-0.00
anubis	D	8	2–6	25%	-0.02
nuke	B	6	3–3	50%	0.01
overpass	—	3	1–2	33%	-0.01
vertigo	—	2	2–0	100%	0.01
train	—	1	0–1	0%	-0.03
office	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

134Matches

43%Win rate

0.93Avg K/D

67.3ADR

43%Headshot %

Clutches & streaks

33%1v1 clutch win

22%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	38	53%	1.00	13.1
Mirage	34	47%	1.12	12.9
Ancient	16	38%	0.74	10.3
Dust2	14	29%	0.74	9.6
Overpass	11	18%	0.85	13.1
Nuke	8	25%	0.78	11.6
Cache	8	62%	0.82	10.4
Anubis	5	40%	0.95	13.2

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.

17.5%Headshot accuracy

34.7%Accuracy (enemy spotted)

34.3%Spray accuracy

79.5%Counter-strafing

11.0°Preaim

599msReaction time

35.1%T opening success

34.2%CT opening success

0.76Enemies flashed / flash

6.1%Flash assists

6.57HE damage / grenade

5.07Flashes / 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 35.1167% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	9–13	-0.03	22%	16 Aug →
dust2	4–13	-0.14	10%	6 Aug →
inferno	16–13	0.03	15%	4 Aug →
ancient	16–13	-0.01	13%	1 Aug →
dust2	9–13	-0.03	25%	1 Aug →
nuke	5–13	-0.10	22%	1 Aug →
mirage	13–4	0.04	30%	1 Aug →
cache	9–13	0.10	18%	1 Aug →
cache	3–13	-0.00	14%	1 Aug →
ancient	6–13	-0.01	17%	1 Aug →
mirage	13–4	0.05	15%	1 Aug →
nuke	13–6	0.10	18%	1 Aug →
ancient	8–13	-0.01	12%	1 Aug →
nuke	13–8	0.00	30%	1 Aug →
cache	13–7	0.03	18%	1 Aug →
ancient	7–13	-0.07	13%	31 Jul →
dust2	16–14	-0.04	18%	31 Jul →
nuke	16–13	0.08	13%	31 Jul →
dust2	13–7	0.05	14%	31 Jul →
mirage	13–11	0.05	20%	30 Jul →
ancient	13–10	0.00	20%	30 Jul →
dust2	13–3	0.05	24%	30 Jul →
ancient	9–13	0.02	15%	30 Jul →
vertigo	13–3	0.01	5%	30 Jul →
dust2	11–13	-0.00	16%	30 Jul →
inferno	13–11	-0.05	18%	29 Jul →
dust2	13–4	0.06	20%	29 Jul →
dust2	6–13	-0.04	23%	29 Jul →
inferno	13–5	-0.02	7%	29 Jul →
vertigo	13–4	0.00	22%	29 Jul →
dust2	5–13	0.05	19%	28 Jul →
mirage	13–6	-0.00	18%	28 Jul →
dust2	6–13	0.06	13%	28 Jul →
ancient	13–8	0.09	15%	28 Jul →
dust2	4–13	-0.06	22%	28 Jul →
anubis	4–13	-0.06	19%	28 Jul →
mirage	13–9	0.05	23%	28 Jul →
mirage	13–5	0.09	18%	27 Jul →
mirage	8–13	-0.01	20%	27 Jul →
anubis	12–12	-0.06	10%	27 Jul →
anubis	12–12	-0.03	35%	27 Jul →
inferno	8–13	0.04	28%	22 Jul →
anubis	3–13	-0.08	24%	22 Jul →
inferno	7–13	-0.04	25%	21 Jul →
cache	13–6	-0.04	17%	20 Jul →
mirage	6–13	-0.05	17%	20 Jul →
dust2	15–15	-0.03	11%	18 Jul →
anubis	13–9	0.01	29%	16 Jul →
cache	8–13	-0.05	16%	16 Jul →
dust2	13–6	-0.08	10%	13 Jul →
inferno	8–13	-0.01	13%	13 Jul →
anubis	8–13	0.02	14%	11 Jul →
mirage	13–6	0.01	8%	8 Jul →
nuke	4–13	-0.03	4%	7 Jul →
mirage	10–13	-0.04	11%	6 Jul →
inferno	14–16	-0.03	17%	30 Jun →
mirage	9–13	-0.09	11%	29 Jun →
anubis	11–13	0.05	10%	19 Jun →
dust2	13–6	0.04	9%	15 Jun →
inferno	13–9	0.03	19%	1 Jun →
dust2	5–13	-0.09	2%	30 May →
inferno	13–2	0.00	21%	30 May →
mirage	13–7	0.01	20%	28 May →
mirage	6–13	-0.01	18%	26 May →
mirage	13–1	0.10	18%	19 May →
overpass	5–13	0.02	16%	14 May →
office	10–13	-0.02	18%	13 May →
cache	10–13	-0.09	11%	12 May →
inferno	7–13	-0.04	2%	12 May →
inferno	10–13	-0.05	21%	11 May →
anubis	13–7	0.02	18%	7 May →
cache	13–4	0.04	19%	6 May →
cache	13–3	0.04	8%	6 May →
cache	4–13	-0.03	21%	6 May →
cache	13–1	0.07	18%	5 May →
overpass	13–10	-0.02	16%	5 May →
dust2	5–13	-0.06	10%	1 May →
cache	13–6	-0.05	10%	30 Apr →
dust2	6–13	-0.03	18%	30 Apr →
cache	6–13	-0.02	8%	29 Apr →
cache	13–6	0.00	11%	29 Apr →
cache	13–9	-0.03	10%	29 Apr →
mirage	1–13	-0.12	25%	28 Apr →
mirage	13–4	-0.02	8%	25 Apr →
cache	13–8	0.01	15%	24 Apr →
inferno	13–5	0.01	13%	24 Apr →
mirage	8–13	-0.03	9%	24 Apr →
inferno	13–4	0.02	5%	23 Apr →
dust2	8–13	-0.03	19%	23 Apr →
overpass	14–16	-0.05	13%	22 Apr →
mirage	9–13	0.02	18%	21 Apr →
inferno	11–13	0.01	10%	21 Apr →
dust2	13–5	-0.00	22%	20 Apr →
mirage	7–13	-0.01	12%	20 Apr →
nuke	7–13	-0.02	16%	18 Apr →
inferno	13–9	-0.00	17%	16 Apr →
mirage	8–13	-0.04	19%	15 Apr →
inferno	7–13	-0.00	16%	15 Apr →
ancient	6–13	-0.02	10%	14 Apr →
mirage	2–13	-0.05	18%	14 Apr →