BlackTermit — CS2 Stats

76561198044126859[U:1:83861131]Steam profile ↗✓ No bans

283Tracked matches57%Win rate2020Tracked since

633Hours in CS

CSDB Rating1.9 Learning

FaceitLevel 2 · 745 ELOTop 97.9% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim10

Positioning31

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY42–48–10Last 10042%Win rateWTLLWWWLLT

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

Player DNA

Aim1.0

Aggression2.1

Utility3.1

Positioning3.1

Opening Duels0.0

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 NiKo 62% playstyle similarity

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

Where you differ: lower utility contribution; 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. 634ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 48% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.0

Positioning3.1

Utility3.1

Mechanics0.0

Opening Duels0.1

Win Impact7.4

Composite 1.9/10 (Learning), 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 rating-0.06−0.02

first ⅓ avg -0.04 → last ⅓ avg -0.06

Reaction time639ms−36ms

first ⅓ avg 675ms → last ⅓ avg 639ms

Headshot accuracy12.3%−2.4%

first ⅓ avg 14.7% → last ⅓ avg 12.3%

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

0.06Best rating — nuke 13–8

13–2Biggest win — mirage

5Longest win streak

5–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

overpassBest map · 70% over 10dust2Weakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	24	9–15	38%	-0.04
nuke	C	15	6–9	40%	-0.04
overpass	S	10	7–3	70%	-0.05
cache	A	10	6–4	60%	-0.05
inferno	D	9	3–6	33%	-0.05
ancient	C	9	4–5	44%	-0.05
dust2	D	9	2–7	22%	-0.05
train	—	4	2–2	50%	-0.04
anubis	—	3	1–2	33%	-0.08
dogtown	—	3	1–2	33%	-0.02
poseidon	—	2	1–1	50%	-0.05
golden	—	1	0–1	0%	-0.07
vertigo	—	1	0–1	0%	-0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,342Lifetime kills

0.61K/D

1,574Matches

46.1%Match win rate

35.9%Headshot %

13.5%Shot accuracy · Top 50% of tracked players

2,758MVPs

633Hours (in match)

1,920Bombs planted

344Bombs defused

Most-used weapons

AK-474,934

M4A4 / M4A1-S3,661

Desert Eagle1,958

P2000 / USP-S1,458

XM1014839

Glock-18800

AWP749

SSG 08541

MP9534

Knife467

Lifetime map wins

1,722inferno

1,406dust2

958nuke

875vertigo

522train

343cbble

108lake

44office

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

Faceit stats

Combat

76Matches

53%Win rate

0.56Avg K/D

57.7ADR

33%Headshot %

Clutches & streaks

9%1v1 clutch win

40%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	70%	0.61	11.0
Anubis	3	0%	0.51	9.3
Dust2	2	50%	0.82	12.0
Overpass	2	100%	0.89	12.0
Train	1	0%	0.40	6.0
Ancient	1	0%	0.28	5.0

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.

12.7%Headshot accuracy

23.0%Accuracy (enemy spotted)

29.4%Spray accuracy

48.4%Counter-strafing

12.9°Preaim

634msReaction time

24.4%T opening success

30.7%CT opening success

0.48Enemies flashed / flash

0.7%Flash assists

9.80HE damage / grenade

1.28Flashes / 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 12.896° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.7238% — below the 15% mark we flag
Aim Training →
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 0.4819 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	13–5	-0.05	10%	6 Aug →
inferno	12–12	-0.08	9%	6 Aug →
cache	11–13	-0.07	13%	6 Aug →
mirage	10–13	-0.06	4%	6 Aug →
train	13–3	-0.11	9%	5 Aug →
cache	13–8	-0.05	13%	5 Aug →
overpass	13–9	-0.04	25%	5 Aug →
nuke	9–13	-0.05	22%	5 Aug →
mirage	6–13	-0.14	18%	31 Jul →
ancient	12–12	-0.04	8%	31 Jul →
mirage	2–13	-0.08	14%	13 Jul →
ancient	13–6	0.04	32%	13 Jul →
cache	13–8	-0.07	9%	13 Jul →
cache	3–13	-0.06	5%	26 Jun →
mirage	13–7	-0.09	5%	26 Jun →
dust2	7–13	-0.08	11%	26 Jun →
overpass	13–4	-0.05	14%	26 Jun →
cache	13–5	-0.01	24%	26 Jun →
nuke	10–13	-0.03	7%	26 Jun →
nuke	7–9	-0.17	0%	25 Jun →
overpass	13–11	-0.11	8%	23 Jun →
mirage	13–2	-0.01	2%	23 Jun →
cache	13–9	-0.06	12%	20 Jun →
mirage	13–4	-0.01	11%	19 Jun →
cache	13–4	-0.03	11%	19 Jun →
inferno	2–9	-0.17	17%	4 May →
poseidon	2–9	-0.12	0%	4 May →
cache	4–13	-0.06	12%	29 Apr →
cache	2–13	-0.08	18%	29 Apr →
cache	13–5	-0.05	9%	29 Apr →
mirage	4–13	-0.04	20%	30 Mar →
dust2	13–11	-0.06	15%	30 Mar →
inferno	9–7	0.01	20%	18 Feb →
poseidon	9–6	0.02	22%	18 Feb →
inferno	9–4	0.04	17%	17 Feb →
ancient	6–13	-0.03	14%	22 Dec →
nuke	8–13	0.00	12%	22 Dec →
dust2	4–13	-0.07	3%	22 Dec →
inferno	6–13	-0.11	0%	3 Dec →
anubis	13–10	-0.08	7%	1 Dec →
dust2	12–12	-0.07	11%	1 Dec →
mirage	6–13	-0.08	7%	26 Nov →
dust2	15–15	0.00	14%	26 Nov →
ancient	13–4	-0.05	21%	13 Nov →
mirage	11–13	-0.09	11%	12 Nov →
overpass	13–6	-0.02	16%	5 Nov →
train	12–12	-0.02	10%	5 Nov →
nuke	4–13	-0.02	5%	4 Nov →
nuke	4–13	-0.03	10%	21 Oct →
overpass	13–11	-0.04	8%	21 Oct →
mirage	5–13	-0.05	14%	21 Oct →
anubis	3–13	-0.08	17%	21 Oct →
nuke	13–7	0.01	7%	15 Oct →
golden	3–13	-0.07	14%	13 Oct →
ancient	13–2	-0.06	8%	6 Oct →
train	13–10	-0.02	14%	6 Oct →
dust2	7–2	-0.02	15%	6 Oct →
mirage	11–13	-0.04	17%	6 Oct →
anubis	8–13	-0.07	10%	6 Oct →
overpass	13–6	0.04	15%	23 Sept →
nuke	13–8	0.06	15%	23 Sept →
dust2	8–13	-0.06	13%	23 Sept →
inferno	8–13	-0.06	4%	23 Sept →
dogtown	8–8	-0.03	13%	19 Sept →
overpass	11–13	-0.05	22%	17 Sept →
mirage	13–4	-0.07	10%	17 Sept →
inferno	10–13	-0.06	10%	17 Sept →
dust2	11–13	0.01	13%	17 Sept →
nuke	3–13	-0.07	0%	17 Sept →
ancient	12–12	-0.06	13%	17 Sept →
nuke	12–12	-0.05	8%	17 Sept →
mirage	10–13	-0.01	14%	16 Sept →
overpass	4–13	-0.04	20%	16 Sept →
ancient	8–13	-0.09	19%	16 Sept →
nuke	13–10	-0.04	14%	16 Sept →
mirage	13–10	-0.03	18%	16 Sept →
vertigo	5–13	-0.14	12%	15 Sept →
inferno	13–7	-0.05	11%	15 Sept →
ancient	12–12	-0.06	13%	15 Sept →
nuke	13–3	-0.04	24%	15 Sept →
mirage	1–8	-0.01	13%	15 Sept →
dogtown	5–9	0.02	18%	15 Sept →
mirage	10–13	-0.01	11%	13 Sept →
nuke	13–3	-0.03	14%	11 Sept →
nuke	13–4	-0.04	23%	11 Sept →
train	12–12	-0.01	9%	11 Sept →
mirage	13–11	0.03	17%	10 Sept →
nuke	11–13	-0.03	19%	10 Sept →
dust2	6–13	-0.07	17%	9 Sept →
mirage	4–13	-0.02	28%	9 Sept →
inferno	5–13	-0.02	13%	9 Sept →
mirage	13–6	0.02	24%	9 Sept →
overpass	8–13	-0.13	7%	8 Sept →
mirage	7–13	-0.06	22%	8 Sept →
dogtown	9–6	-0.04	6%	8 Sept →
mirage	5–13	-0.07	23%	8 Sept →
mirage	13–7	-0.02	10%	8 Sept →
mirage	13–9	-0.04	10%	4 Sept →
mirage	7–13	-0.04	16%	29 Jul →
ancient	13–10	-0.06	9%	26 Jul →