Firefighter 007

Firefighter 007 — CS2 Stats

76561197987899389[U:1:27633661]Steam profile ↗✓ No bans

3,022Tracked matches47%Win rate2020Tracked since
6,056Hours in CS34Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
CSDB Leaderboard#99816 of 260047 tracked
FaceitLevel 6 · 1,724 ELOTop 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,965 +723 20 Jul – 10 Oct · 22 days played
16,16318,965peak 18,96520 Jul10 Oct
18,965Peak Premier in tracked matches
1,724Highest Faceit ELO seen on CSDB
33Days played since 2026-07-17

Faceit ELO

  • At peak — 1,724
  • Next: Level 9 at 1,751 — 27 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-06
  • Level 7 first seen 2026-09-06

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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate46.4%44.8%45.7%meets
Shot accuracy16.3%12.4%12.7%above
Kill/death ratio1.261.031.05above
Match win rate43.1%45.2%45.7%2.5% short

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFirefighter 007FACEITLevel 6 · 1,724 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,724csdb.gg/stats

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Performance scores

Aim45
Positioning63
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY34–65–1Last 10034%Win rateLWLWWWLWWL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −6.6pp headshot accuracy · −63ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 598ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 591ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 622ms

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 (+1.3 against its own average).

Aim4.5
Utility6.5
Positioning6.3
Opening Duels3.0
Clutch5.0

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.

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

iM

Plays most like iM 64% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.5
Positioning6.3
Utility6.5
Mechanics3.8
Opening Duels4.6
Win Impact3.9

Composite 4.8/10 (Developing), 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 time598ms+20ms
first ⅓ avg 579ms → last ⅓ avg 598ms
Headshot accuracy25.9%+3.4%
first ⅓ avg 22.6% → last ⅓ avg 25.9%

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

0.16Best match rating · 13–1 · nuke, 23 Aug →
50%Best headshot accuracy · 1–13 · train, 9 Oct →
406msFastest reaction time · 13–9 · inferno, 23 Aug →
13–1Biggest win · nuke, 23 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 100% over 5anubisWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
infernoD298–2128%0.00
nukeB178–947%0.03
anubisD152–1313%0.02
cacheD143–1121%0.01
ancientB136–746%-0.03
dust2S55–0100%-0.01
mirage—41–325%-0.02
vertigo—21–150%0.08
train—10–10%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

225,813Lifetime kills
1.26K/D · Top 25% of Level 6 players
8,797Matches
43.1%Match win rate
46.4%Headshot % · Top 50% of Level 6 players
16.3%Shot accuracy · Top 25% of Level 6 players
25,549MVPs
3,650Hours (in match)
9,285Bombs planted
2,280Bombs defused

Most-used weapons

AWP47,395
AK-4746,584
SG 55311,407
MP710,227
UMP-456,420
Tec-95,208

Lifetime map wins

19,096inferno
13,559dust2
12,561nuke
3,013train
2,882vertigo
632cbble
281lake
219office

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

Faceit stats

Combat

739Matches
52%Win rate
0.94Avg K/D
72.3ADR
45%Headshot %

Clutches & streaks

45%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke3165%1.1416.8
Ancient2748%0.8414.0
Inferno2450%0.9014.6
Anubis1724%0.8014.2
Overpass1250%0.8514.7
Dust2838%0.8814.3
Mirage757%1.0917.1
Train786%0.9817.1

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.

25.7%Headshot accuracy
27.6%Accuracy (enemy spotted)
27.5%Spray accuracy
67.2%Counter-strafing
11.7°Preaim
589msReaction time
53.8%T opening success
42.8%CT opening success
0.77Enemies flashed / flash
7.0%Flash assists
13.18HE damage / grenade
5.18Flashes / match

Recommended for you

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.

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage2–130.0127%4 Nov →
ancient13–6-0.0317%1 Nov →
nuke8–13-0.0229%31 Oct →
nuke13–6-0.0118%31 Oct →
ancient13–2-0.0024%25 Oct →
inferno13–7-0.0421%10 Oct →
cache11–130.0423%10 Oct →
dust213–70.0226%10 Oct →
anubis13–11-0.0120%10 Oct →
mirage8–13-0.0822%10 Oct →
nuke10–130.0331%9 Oct →
nuke13–60.0129%9 Oct →
mirage7–13-0.0533%9 Oct →
mirage13–50.0526%9 Oct →
dust210–1-0.1029%9 Oct →
ancient7–13-0.0421%9 Oct →
inferno10–130.0127%9 Oct →
train1–13-0.0050%9 Oct →
inferno9–130.0724%30 Sept →
inferno3–13-0.0423%29 Sept →
ancient13–8-0.0331%26 Sept →
inferno7–13-0.0133%10 Sept →
inferno16–120.0427%10 Sept →
inferno13–5-0.0624%7 Sept →
nuke7–13-0.0018%7 Sept →
inferno11–130.0324%7 Sept →
ancient16–13-0.0118%4 Sept →
anubis8–130.0329%4 Sept →
nuke13–10-0.0132%4 Sept →
anubis9–13-0.0025%4 Sept →
nuke5–130.0427%4 Sept →
cache10–13-0.0527%3 Sept →
ancient3–13-0.1022%3 Sept →
dust213–7-0.0139%3 Sept →
cache6–130.0516%31 Aug →
anubis9–130.0320%31 Aug →
cache6–130.0130%31 Aug →
inferno3–13-0.0618%30 Aug →
ancient5–130.0024%30 Aug →
inferno13–90.0822%23 Aug →
nuke13–10.1625%23 Aug →
anubis8–130.0723%21 Aug →
inferno13–100.0730%21 Aug →
nuke5–130.1129%21 Aug →
anubis10–13-0.0126%21 Aug →
nuke10–130.0330%19 Aug →
anubis14–160.0012%19 Aug →
inferno4–13-0.0420%19 Aug →
nuke5–13-0.0632%19 Aug →
nuke13–80.0629%17 Aug →
nuke13–20.0727%17 Aug →
inferno13–110.0424%15 Aug →
cache13–70.0329%15 Aug →
anubis4–13-0.0625%9 Aug →
inferno6–13-0.0244%9 Aug →
cache3–130.0129%9 Aug →
inferno11–130.0624%7 Aug →
ancient15–150.0324%6 Aug →
inferno1–13-0.0534%6 Aug →
ancient2–13-0.0329%5 Aug →
inferno3–13-0.0330%5 Aug →
anubis1–13-0.0115%5 Aug →
dust213–70.0222%5 Aug →
nuke11–130.0423%4 Aug →
anubis9–130.0220%4 Aug →
inferno5–13-0.0531%4 Aug →
cache9–130.0328%4 Aug →
ancient13–7-0.008%3 Aug →
anubis12–160.0520%3 Aug →
inferno10–13-0.0421%3 Aug →
inferno10–130.0730%3 Aug →
vertigo13–60.1117%2 Aug →
vertigo9–130.0426%2 Aug →
inferno5–13-0.0124%2 Aug →
anubis11–130.0418%2 Aug →
inferno13–110.0335%2 Aug →
cache14–16-0.0115%2 Aug →
anubis16–120.1123%23 Jul →
cache8–130.0522%23 Jul →
nuke11–130.0227%22 Jul →
cache13–70.0824%22 Jul →
anubis11–130.0021%22 Jul →
ancient7–13-0.0619%22 Jul →
cache1–13-0.0517%22 Jul →
ancient5–13-0.074%21 Jul →
cache13–10-0.0214%21 Jul →
inferno11–13-0.0323%20 Jul →
inferno10–130.0219%20 Jul →
cache5–130.0341%20 Jul →
nuke13–9-0.0231%20 Jul →
cache5–13-0.0119%18 Jul →
inferno4–130.0520%18 Jul →
anubis7–130.0121%18 Jul →
inferno7–13-0.0535%18 Jul →
inferno7–130.0137%18 Jul →
ancient13–11-0.0019%17 Jul →
inferno9–13-0.0815%17 Jul →
nuke13–10-0.0127%17 Jul →
dust213–80.0322%17 Jul →
inferno13–50.0330%17 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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