teabola — CS2 Stats

CA76561198408594860[U:1:448329132]Steam profile ↗

1,284Tracked matches72%Win rate2020Tracked since

2,427Hours in CS2Hrs last 2 wks

CSDB Rating5.7 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim71

Positioning47

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY59–39–2Last 10059%Win rateLWWLWLWWWL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

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

Aim7.1

Aggression5.6

Utility5.5

Positioning4.7

Opening Duels1.6

Clutch6.0

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 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 673ms 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

Aim7.1

Positioning4.7

Utility5.5

Mechanics8.4

Opening Duels1.6

Win Impact10.0

Composite 5.7/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time669ms+28ms

first ⅓ avg 640ms → last ⅓ avg 669ms

Headshot accuracy21.2%−2.5%

first ⅓ avg 23.7% → last ⅓ avg 21.2%

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

0.14Best rating — cache 13–5

13–2Biggest win — dust2

7Longest win streak

4–3In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 74% over 23mirageWeakest map · 47% over 30

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	30	14–16	47%	0.00
dust2	S	23	17–6	74%	0.01
ancient	S	13	9–4	69%	0.00
inferno	A	12	7–5	58%	0.01
cache	S	9	6–3	67%	0.02
nuke	A	5	3–2	60%	0.03
anubis	—	3	1–2	33%	-0.01
overpass	—	3	1–2	33%	-0.03
shelter	—	1	1–0	100%	0.05
boulder	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (47% over 30). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,973Lifetime kills

1.27K/D · Top 25% of tracked players

3,139Matches

39.0%Match win rate

50.1%Headshot % · Top 50% of tracked players

14.9%Shot accuracy · Top 50% of tracked players

8,835MVPs

1,288Hours (in match)

1,540Bombs planted

452Bombs defused

Most-used weapons

AK-4731,040

AWP12,371

M4A4 / M4A1-S9,202

P2000 / USP-S5,475

Desert Eagle3,567

Glock-182,712

SSG 081,351

Galil AR1,128

MP9814

FAMAS745

Lifetime map wins

5,149dust2

1,279inferno

935nuke

385vertigo

239train

66lake

58cbble

29bank

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

Faceit stats

Combat

86Matches

60%Win rate

1.13Avg K/D

93.0ADR

44%Headshot %

Clutches & streaks

50%1v1 clutch win

50%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	29	62%	1.20	16.2
Ancient	9	78%	1.11	17.6
Overpass	7	29%	0.79	12.0
Inferno	6	50%	1.18	14.3
Vertigo	5	80%	0.94	17.0
Nuke	4	50%	0.89	15.3
Dust2	2	0%	0.94	18.5
Cache	1	100%	0.92	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.

20.8%Headshot accuracy

34.6%Accuracy (enemy spotted)

39.8%Spray accuracy

87.9%Counter-strafing

10.8°Preaim

673msReaction time

31.6%T opening success

41.4%CT opening success

0.57Enemies flashed / flash

7.3%Flash assists

9.93HE damage / grenade

7.68Flashes / 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 31.6075% — 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 30 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
mirage	6–13	-0.08	24%	18 Aug →
dust2	13–8	0.00	22%	18 Aug →
cache	13–6	0.03	32%	15 Aug →
dust2	10–13	-0.04	19%	13 Aug →
cache	13–6	0.06	27%	13 Aug →
mirage	3–13	-0.03	10%	13 Aug →
shelter	13–6	0.05	21%	12 Jul →
dust2	13–7	-0.02	15%	11 Jul →
cache	13–8	0.05	21%	11 Jul →
cache	3–13	-0.07	21%	9 Jul →
dust2	13–9	-0.02	17%	9 Jul →
boulder	7–13	0.05	9%	9 Jul →
ancient	13–7	0.03	11%	7 Jul →
cache	13–5	-0.03	14%	7 Jul →
inferno	13–7	0.08	11%	6 Jul →
ancient	3–13	-0.08	18%	5 Jul →
mirage	13–3	-0.02	24%	5 Jul →
anubis	13–8	-0.01	40%	5 Jul →
overpass	15–15	-0.07	13%	5 Jul →
dust2	13–2	0.06	37%	5 Jul →
ancient	13–10	0.01	11%	5 Jul →
nuke	8–13	-0.03	12%	5 Jul →
mirage	13–6	-0.05	17%	4 Jul →
dust2	10–13	-0.02	27%	3 Jul →
dust2	13–7	0.04	30%	3 Jul →
mirage	13–5	-0.01	39%	3 Jul →
cache	13–5	0.14	28%	3 Jul →
cache	13–3	0.11	37%	3 Jul →
nuke	13–5	0.06	18%	3 Jul →
ancient	13–8	0.02	14%	3 Jul →
mirage	16–13	0.00	20%	3 Jul →
anubis	11–13	0.00	27%	1 Jul →
inferno	12–16	-0.01	16%	1 Jul →
inferno	13–5	0.05	18%	1 Jul →
mirage	6–13	0.03	15%	1 Jul →
dust2	8–13	-0.00	28%	1 Jul →
dust2	13–7	-0.04	23%	1 Jul →
mirage	13–10	0.08	29%	30 Jun →
inferno	13–10	-0.01	16%	30 Jun →
overpass	16–13	0.00	17%	30 Jun →
inferno	13–6	0.10	19%	30 Jun →
mirage	10–13	-0.03	11%	30 Jun →
ancient	16–13	-0.00	24%	30 Jun →
mirage	13–7	0.01	20%	29 Jun →
dust2	13–6	-0.03	13%	29 Jun →
inferno	13–5	0.00	33%	29 Jun →
inferno	13–4	0.03	13%	29 Jun →
ancient	11–13	-0.06	16%	29 Jun →
mirage	13–7	0.09	22%	29 Jun →
mirage	3–13	-0.10	27%	29 Jun →
nuke	13–7	0.06	28%	28 Jun →
ancient	13–2	0.08	17%	28 Jun →
dust2	0–13	-0.03	13%	28 Jun →
mirage	13–2	0.03	10%	28 Jun →
dust2	16–12	0.06	21%	28 Jun →
mirage	13–7	0.11	19%	28 Jun →
dust2	13–9	-0.02	11%	28 Jun →
mirage	13–4	-0.04	28%	28 Jun →
inferno	5–13	-0.02	22%	23 Jun →
anubis	8–13	-0.03	29%	23 Jun →
inferno	10–13	-0.02	29%	19 Jun →
dust2	13–11	0.01	24%	19 Jun →
ancient	10–13	-0.04	13%	19 Jun →
mirage	8–13	0.01	17%	19 Jun →
ancient	5–13	-0.09	7%	19 Jun →
nuke	10–13	0.03	19%	9 Jun →
mirage	11–13	0.02	25%	9 Jun →
dust2	13–5	0.07	16%	9 Jun →
dust2	13–9	0.06	25%	9 Jun →
ancient	13–11	0.05	19%	9 Jun →
dust2	16–14	0.08	19%	9 Jun →
inferno	7–13	0.03	28%	9 Jun →
mirage	13–7	0.02	17%	8 Jun →
mirage	13–9	0.11	21%	8 Jun →
inferno	13–7	-0.00	42%	8 Jun →
mirage	9–13	0.08	24%	8 Jun →
mirage	9–13	-0.06	25%	8 Jun →
mirage	6–13	0.05	24%	7 Jun →
mirage	13–9	-0.02	17%	7 Jun →
dust2	13–9	0.02	31%	7 Jun →
nuke	16–14	0.04	21%	7 Jun →
mirage	5–13	-0.07	28%	7 Jun →
overpass	13–16	-0.03	22%	7 Jun →
mirage	15–15	-0.00	16%	6 Jun →
mirage	9–13	-0.00	22%	6 Jun →
ancient	13–5	0.09	24%	5 Jun →
ancient	13–6	0.01	21%	5 Jun →
dust2	13–4	0.06	28%	5 Jun →
dust2	13–7	0.03	29%	4 Jun →
dust2	13–10	-0.03	21%	3 Jun →
dust2	6–13	-0.03	46%	25 May →
dust2	8–13	0.01	23%	25 May →
mirage	9–13	-0.01	27%	24 May →
mirage	8–13	0.05	26%	24 May →
mirage	7–13	-0.01	23%	23 May →
ancient	13–9	0.02	25%	23 May →
inferno	8–13	-0.06	3%	18 May →
mirage	13–7	-0.02	22%	9 May →
cache	3–10	-0.07	33%	6 May →
cache	6–13	-0.07	14%	6 May →