-Mel Gibson- — CS2 Stats

76561198059785410[U:1:99519682]Steam profile ↗✓ No bans

1,822Tracked matches40%Win rate2020Tracked since

6,162Hours in CS6Hrs last 2 wks

CSDB Rating5.5 SolidPositional Player

CSDB Leaderboard#15919 of 251434 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,926 → 1,926

+11Tracked matches · now 1,822

−16.7ppWin rate · 56.7% → 40.0%

Rating over time

Premier CS Rating: 25,560 +2,836 21 Jun – 23 Sept · 12 days played

Faceit ELO: 1,926 +0 31 Aug – 23 Sept · 3 observations

25,966Peak Premier in tracked matches

1,926Highest Faceit ELO seen on CSDB

36Days played since 2026-06-18

Faceit ELO

At peak — 1,926
0 over 30 days · steady
Next: Level 10 at 2,001 — 75 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-31
Level 8 first seen 2026-08-31

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.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	15	—	—
Win rate	20%	—	—
K/D	0.92	—	—
Headshot %	53%	—	—

Measured 18 Sep 2026 → 13 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

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Performance scores

Aim74

Positioning62

Utility51

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateLLLLLLLLLW

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −1.4pp headshot accuracy · −57ms 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

0–5 · 0% win rate
Avg rating -0.02
Avg headshot accuracy 19%
Avg reaction 533ms

Last 10

1–9 · 10% win rate
Avg rating -0.02
Avg headshot accuracy 18%
Avg reaction 494ms

Last 20

6–14 · 30% win rate
Avg rating -0.01
Avg headshot accuracy 19%
Avg reaction 522ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim7.4

Utility5.1

Positioning6.2

Opening Duels4.3

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 jL 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.4

Positioning6.2

Utility5.1

Mechanics6.3

Opening Duels4.4

Win Impact1.7

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time531ms−34ms

first ⅓ avg 565ms → last ⅓ avg 531ms

Headshot accuracy18.6%+0.8%

first ⅓ avg 17.8% → last ⅓ avg 18.6%

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

0.10Best match rating · 13–5 · mirage, 8 Jul →

42%Best headshot accuracy · 4–13 · ancient, 12 Jul →

406msFastest reaction time · 6–13 · dust2, 4 Oct →

13–2Biggest win · cache, 9 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L9Current streak

7–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 64% over 14infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	11–14	44%	-0.01
cache	C	23	9–14	39%	0.00
ancient	B	16	8–8	50%	-0.00
nuke	A	14	9–5	64%	0.00
anubis	A	8	5–3	63%	0.01
inferno	D	6	1–5	17%	-0.01
dust2	—	4	0–4	0%	-0.04
overpass	—	3	2–1	67%	0.03
vertigo	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

150,511Lifetime kills

0.96K/D

6,099Matches

42.2%Match win rate

45.7%Headshot % · Top 50% of tracked players

11.6%Shot accuracy

12,602MVPs

3,545Hours (in match)

4,001Bombs planted

1,479Bombs defused

Most-used weapons

AK-4751,624

M4A4 / M4A1-S22,110

AWP21,553

P2000 / USP-S12,475

Desert Eagle7,598

Glock-184,221

P2502,961

MAC-102,506

Galil AR2,090

FAMAS2,070

Lifetime map wins

10,011inferno

4,388dust2

4,012nuke

1,476train

768vertigo

538cbble

442office

255italy

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

Faceit stats

Combat

956Matches

51%Win rate

1.09Avg K/D

77.3ADR

40%Headshot %

Clutches & streaks

37%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	89	57%	1.21	15.8
Ancient	74	41%	1.11	16.0
Inferno	60	48%	1.20	16.5
Nuke	56	61%	1.16	15.9
Anubis	50	54%	1.28	16.5
Dust2	26	42%	0.99	14.7
Overpass	25	52%	1.11	15.2
Train	9	56%	1.20	13.6

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.

19.0%Headshot accuracy

29.5%Accuracy (enemy spotted)

35.3%Spray accuracy

78.2%Counter-strafing

7.2°Preaim

529msReaction time

50.5%T opening success

45.0%CT opening success

0.59Enemies flashed / flash

11.1%Flash assists

8.77HE damage / grenade

5.08Flashes / match

Recommended for you

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	-0.05	19%	4 Oct →
dust2	5–13	-0.02	13%	3 Oct →
dust2	4–13	-0.06	15%	3 Oct →
cache	6–13	0.04	30%	3 Oct →
mirage	9–13	-0.01	19%	2 Oct →
mirage	9–13	-0.08	15%	2 Oct →
nuke	10–13	-0.01	25%	25 Sept →
cache	7–13	-0.03	22%	10 Sept →
anubis	11–13	-0.01	18%	20 Aug →
cache	13–4	0.02	8%	20 Aug →
anubis	8–13	0.02	28%	15 Aug →
cache	13–8	0.07	22%	14 Aug →
mirage	14–16	-0.03	25%	10 Aug →
ancient	3–13	-0.04	15%	10 Aug →
inferno	6–9	-0.07	18%	6 Aug →
ancient	7–13	0.01	13%	1 Aug →
nuke	13–10	0.01	16%	31 Jul →
ancient	13–8	0.01	23%	30 Jul →
mirage	13–10	-0.03	9%	30 Jul →
nuke	13–10	-0.00	28%	30 Jul →
anubis	13–4	-0.02	10%	30 Jul →
mirage	13–4	0.07	27%	29 Jul →
inferno	9–13	-0.06	14%	29 Jul →
ancient	13–6	0.08	23%	29 Jul →
cache	8–13	-0.04	20%	29 Jul →
nuke	13–3	0.05	23%	29 Jul →
cache	7–13	0.00	22%	29 Jul →
nuke	17–19	0.02	15%	28 Jul →
mirage	5–13	-0.05	14%	28 Jul →
cache	13–10	0.02	26%	28 Jul →
ancient	13–11	0.02	13%	23 Jul →
mirage	16–13	-0.03	19%	23 Jul →
cache	10–13	-0.05	11%	23 Jul →
ancient	13–6	0.00	7%	20 Jul →
nuke	13–10	-0.05	17%	20 Jul →
mirage	16–12	0.00	17%	19 Jul →
mirage	11–13	0.08	27%	19 Jul →
nuke	13–3	0.03	9%	19 Jul →
ancient	6–13	-0.04	19%	19 Jul →
overpass	4–13	0.05	28%	19 Jul →
cache	8–13	-0.06	30%	18 Jul →
cache	11–13	-0.04	27%	18 Jul →
cache	13–10	-0.05	17%	18 Jul →
nuke	13–9	0.06	17%	18 Jul →
mirage	13–7	0.01	27%	18 Jul →
ancient	10–13	-0.01	19%	17 Jul →
cache	12–12	0.01	15%	17 Jul →
mirage	6–13	-0.07	14%	17 Jul →
anubis	13–7	0.00	9%	17 Jul →
cache	15–19	-0.02	20%	17 Jul →
anubis	13–8	0.03	21%	15 Jul →
nuke	7–13	-0.05	20%	15 Jul →
inferno	10–13	-0.00	23%	14 Jul →
cache	13–9	-0.00	18%	14 Jul →
ancient	13–8	0.02	27%	14 Jul →
ancient	3–13	-0.10	13%	13 Jul →
nuke	13–8	-0.01	16%	13 Jul →
cache	6–13	0.05	30%	13 Jul →
mirage	6–13	-0.02	22%	13 Jul →
nuke	13–11	-0.01	17%	13 Jul →
ancient	4–13	-0.06	42%	12 Jul →
mirage	5–13	-0.03	18%	12 Jul →
cache	9–13	-0.02	7%	12 Jul →
mirage	13–3	-0.01	32%	11 Jul →
cache	10–13	-0.00	14%	11 Jul →
ancient	13–11	0.02	20%	11 Jul →
inferno	13–9	-0.03	26%	10 Jul →
cache	13–10	0.01	19%	10 Jul →
mirage	13–10	-0.06	7%	10 Jul →
mirage	7–13	-0.01	19%	10 Jul →
cache	13–8	0.09	15%	10 Jul →
cache	13–2	0.08	41%	9 Jul →
mirage	13–3	0.08	18%	9 Jul →
mirage	13–5	0.10	19%	8 Jul →
inferno	12–12	0.08	27%	7 Jul →
ancient	5–13	0.06	20%	7 Jul →
vertigo	8–13	0.05	30%	7 Jul →
ancient	11–13	-0.01	3%	6 Jul →
anubis	13–16	0.01	14%	6 Jul →
overpass	13–7	0.06	13%	6 Jul →
mirage	10–13	-0.03	19%	6 Jul →
mirage	7–0	-0.02	31%	6 Jul →
nuke	5–13	0.02	18%	1 Jul →
anubis	13–9	0.03	15%	1 Jul →
inferno	5–13	0.02	23%	1 Jul →
mirage	10–13	0.01	21%	1 Jul →
mirage	13–11	-0.02	13%	30 Jun →
ancient	13–5	0.03	7%	30 Jun →
overpass	13–11	-0.04	13%	29 Jun →
mirage	10–13	0.00	20%	29 Jun →
ancient	7–1	-0.02	12%	29 Jun →
nuke	13–9	-0.07	15%	29 Jun →
nuke	7–13	0.04	42%	28 Jun →
mirage	2–13	-0.06	20%	28 Jun →
cache	13–11	0.02	11%	28 Jun →
anubis	13–11	0.00	11%	21 Jun →
dust2	11–13	-0.03	10%	21 Jun →
cache	10–13	0.01	17%	21 Jun →
cache	3–13	-0.02	15%	21 Jun →
mirage	1–13	-0.00	11%	18 Jun →