count your blessings — CS2 Stats

IT76561198213944675[U:1:253678947]Steam profile ↗✓ No bans

1,166Tracked matches48%Win rate2023Tracked since

CSDB Rating5.4 DevelopingSupport

CSDB Leaderboard#229446 of 259985 tracked

FaceitLevel 10 · 2,096 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (65 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,096 → 2,096

+78Tracked matches · now 1,166

−10.3ppWin rate · 58.6% → 48.3%

Rating over time

Premier CS Rating: 19,999 -696 10 Nov – 12 Dec · 2 days played

Faceit ELO: 2,096 +0 28 Aug – 1 Sept · 3 observations

20,695Peak Premier in tracked matches

2,096Highest Faceit ELO seen on CSDB

69Days played since 2025-11-05

Faceit ELO

At peak — 2,096
Next: 2,500 ELO at 2,500 — 404 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-28
Level 9 first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim69

Positioning58

Utility61

0–100 skill scores via Leetify.

Recent form

COLD61–37–2Last 10061%Win rateLLWLLWLWLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −1.7pp headshot accuracy · +1ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.00
Avg headshot accuracy 14%
Avg reaction 508ms

Last 10

3–7 · 30% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 514ms

Last 20

10–10 · 50% win rate
Avg rating 0.00
Avg headshot accuracy 15%
Avg reaction 514ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim6.9

Utility6.1

Positioning5.8

Opening Duels2.9

Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 85% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 49% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 69% 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

Aim6.9

Positioning5.8

Utility6.1

Mechanics4.2

Opening Duels2.3

Win Impact4.4

Composite 5.4/10 (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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time527ms−44ms

first ⅓ avg 571ms → last ⅓ avg 527ms

Headshot accuracy16.1%−1.4%

first ⅓ avg 17.5% → last ⅓ avg 16.1%

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.

Personal bests

0.13Best match rating · 13–1 · train, 20 Nov →

38%Best headshot accuracy · 13–1 · mirage, 10 Nov →

344msFastest reaction time · 13–5 · inferno, 16 Jul →

13–1Biggest win · dust2, 5 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak

L2Current streak

15–7In matches decided by ≤2 rounds

17Overtime games

Map breakdown

infernoBest map · 80% over 5ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	44	32–12	73%	0.01
anubis	B	13	7–6	54%	-0.01
dust2	C	12	5–7	42%	-0.01
cache	C	8	3–5	38%	0.02
overpass	A	7	4–3	57%	0.00
ancient	D	6	2–4	33%	-0.02
inferno	S	5	4–1	80%	0.02
train	—	3	3–0	100%	0.04
nuke	—	2	1–1	50%	-0.06

Across the last 100 tracked matches.

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

Faceit stats

Combat

853Matches

51%Win rate

1.01Avg K/D

70.2ADR

43%Headshot %

Clutches & streaks

37%1v1 clutch win

17%1v2 clutch win

14Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	290	52%	0.98	13.5
Anubis	178	61%	1.16	14.4
Dust2	101	46%	0.94	13.6
Inferno	82	46%	0.94	13.5
Ancient	62	40%	0.99	13.8
Overpass	55	56%	0.99	13.7
Train	39	44%	0.96	14.5
Nuke	15	53%	0.95	13.3

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.

16.3%Headshot accuracy

34.5%Accuracy (enemy spotted)

39.9%Spray accuracy

69.0%Counter-strafing

9.2°Preaim

527msReaction time

29.7%T opening success

48.6%CT opening success

0.69Enemies flashed / flash

5.5%Flash assists

8.60HE damage / grenade

6.98Flashes / 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 29.6792% — below the 40% mark we flag

Spend your practice time on Ancient

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 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	2–13	-0.03	13%	29 Oct →
anubis	7–13	0.06	11%	16 Oct →
mirage	13–11	-0.02	17%	13 Oct →
mirage	9–13	0.02	15%	11 Oct →
dust2	11–13	-0.04	16%	11 Oct →
mirage	13–6	-0.03	15%	8 Oct →
anubis	3–13	-0.12	10%	7 Oct →
mirage	13–10	0.02	9%	9 Sept →
anubis	3–13	0.01	17%	7 Sept →
mirage	11–13	-0.05	16%	7 Sept →
anubis	13–10	0.01	9%	6 Sept →
mirage	13–11	-0.02	15%	6 Sept →
cache	13–6	0.06	21%	6 Sept →
anubis	4–13	-0.03	14%	6 Sept →
dust2	13–1	-0.01	12%	5 Sept →
mirage	13–9	-0.04	16%	5 Sept →
cache	20–22	0.03	11%	26 Aug →
dust2	13–6	0.05	13%	22 Aug →
anubis	13–3	0.09	21%	11 Aug →
cache	10–13	0.08	23%	27 Jul →
dust2	10–13	-0.02	26%	27 Jul →
cache	7–13	0.01	14%	25 Jul →
mirage	15–15	0.03	25%	24 Jul →
anubis	13–11	-0.00	18%	23 Jul →
mirage	13–11	-0.04	14%	23 Jul →
cache	5–13	0.04	21%	22 Jul →
mirage	12–16	0.05	23%	18 Jul →
cache	13–5	-0.00	14%	17 Jul →
inferno	13–5	-0.02	23%	16 Jul →
ancient	7–13	0.07	16%	11 Jul →
cache	16–14	-0.02	8%	11 Jul →
dust2	13–6	0.05	18%	8 Jul →
anubis	13–10	-0.05	19%	1 Jul →
mirage	13–4	0.07	18%	1 Jul →
anubis	13–6	0.02	10%	30 Jun →
mirage	16–12	-0.01	13%	29 Jun →
mirage	13–10	-0.02	10%	29 Jun →
ancient	13–4	0.03	7%	29 Jun →
mirage	16–13	-0.01	9%	29 Jun →
anubis	13–5	0.02	13%	25 Jun →
mirage	11–13	0.03	19%	23 Jun →
overpass	9–13	-0.06	17%	23 Jun →
anubis	6–13	0.01	15%	15 Jun →
nuke	13–11	0.01	11%	15 Jun →
cache	6–13	-0.06	15%	14 Jun →
overpass	9–13	-0.03	17%	11 Jun →
mirage	16–13	0.07	11%	25 May →
mirage	13–2	0.08	24%	22 May →
mirage	10–13	-0.06	18%	27 Apr →
mirage	13–11	0.04	15%	12 Apr →
dust2	4–13	-0.06	15%	27 Mar →
mirage	10–13	-0.00	29%	27 Mar →
mirage	13–2	0.08	15%	7 Mar →
dust2	13–11	0.02	23%	1 Feb →
mirage	13–9	0.04	12%	31 Jan →
mirage	13–10	0.02	13%	28 Jan →
anubis	1–13	-0.10	25%	23 Jan →
anubis	13–6	0.03	14%	23 Jan →
overpass	28–25	0.02	13%	23 Jan →
mirage	16–12	-0.04	19%	17 Jan →
mirage	16–14	0.01	20%	4 Jan →
mirage	13–9	0.02	8%	2 Jan →
dust2	7–13	-0.04	14%	27 Dec →
mirage	9–13	-0.06	14%	26 Dec →
ancient	13–8	0.02	10%	22 Dec →
dust2	14–16	-0.03	12%	19 Dec →
mirage	13–9	-0.01	18%	14 Dec →
dust2	13–8	-0.03	7%	14 Dec →
mirage	13–11	0.03	13%	13 Dec →
inferno	13–5	0.05	19%	12 Dec →
mirage	13–9	0.03	21%	12 Dec →
ancient	0–13	-0.10	24%	11 Dec →
mirage	7–13	0.05	21%	11 Dec →
ancient	3–13	-0.12	22%	11 Dec →
dust2	9–13	-0.07	14%	11 Dec →
overpass	15–15	-0.04	20%	7 Dec →
mirage	1–5	0.01	11%	6 Dec →
train	13–9	-0.02	21%	5 Dec →
overpass	13–3	0.11	25%	5 Dec →
mirage	13–11	0.05	22%	5 Dec →
mirage	13–10	0.01	20%	5 Dec →
mirage	13–11	-0.00	29%	4 Dec →
mirage	14–16	-0.03	11%	3 Dec →
dust2	6–13	0.04	9%	1 Dec →
mirage	10–13	-0.03	15%	30 Nov →
overpass	13–10	0.06	9%	30 Nov →
inferno	16–12	0.05	9%	29 Nov →
overpass	22–20	-0.02	11%	29 Nov →
mirage	13–10	0.02	15%	29 Nov →
mirage	13–10	0.01	17%	27 Nov →
mirage	13–1	0.04	14%	27 Nov →
mirage	16–13	0.01	16%	27 Nov →
mirage	13–11	-0.02	14%	26 Nov →
mirage	13–8	-0.03	17%	23 Nov →
train	13–1	0.13	27%	20 Nov →
inferno	11–13	0.03	11%	18 Nov →
train	13–11	0.01	27%	17 Nov →
inferno	16–13	-0.00	22%	11 Nov →
mirage	13–1	0.02	38%	10 Nov →
nuke	3–9	-0.14	7%	5 Nov →