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Firechrislord

Firechrislord — CS2 Stats

US76561198423530290[U:1:463264562]Steam profile ↗✓ No bans

247Tracked matches38%Win rate2023Tracked since
149Hours in CS
CSDB Rating1.4 Learning
FaceitLevel 3 · 833 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 medianLevel 4 medianvs Level 4
Headshot rate39.9%42.2%42.7%2.8% short
Shot accuracy6.5%11.9%10.8%4.3% short
Kill/death ratio0.790.981.000.20 short
Match win rate38.3%43.6%44.1%5.8% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFirechrislordFACEITLevel 3 · 833 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim9
Positioning32
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY31–61–8Last 10031%Win rateLLWLLLLWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim0.9
Aggression0.0
Utility3.4
Positioning3.2
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

NiKo

Plays most like NiKo 54% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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 34% on CT to 11% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 46% 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

Aim0.9
Positioning3.2
Utility3.4
Mechanics0.0
Opening Duels0.5
Win Impact1.0

Composite 1.4/10 (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+0.01
first ⅓ avg -0.07 → last ⅓ avg -0.06
Reaction time656ms−17ms
first ⅓ avg 673ms → last ⅓ avg 656ms
Headshot accuracy14.2%−0.9%
first ⅓ avg 15.0% → last ⅓ avg 14.2%

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

0.06Best rating — cache 13–5
13–0Biggest win — mirage
6Longest win streak
L2Current streak
4–12In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 40% over 20ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D257–1828%-0.05
infernoC208–1240%-0.06
mirageD206–1430%-0.06
nukeD154–1127%-0.06
ancientD50–50%-0.08
train—41–325%-0.04
vertigo—41–325%-0.07
overpass—42–250%-0.09
cache—22–0100%0.03
anubis—10–10%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,829Lifetime kills
0.79K/D
478Matches
38.3%Match win rate
39.9%Headshot %
6.5%Shot accuracy
594MVPs
149Hours (in match)
235Bombs planted
42Bombs defused

Most-used weapons

AUG914
AK-47894
M4A4 / M4A1-S607
SG 553573
P2000 / USP-S318
Desert Eagle262
Glock-18236
MAG-7206
MP9162
SSG 08156

Lifetime map wins

614inferno
562nuke
482dust2
331vertigo
43train
39cbble
21lake
17bank

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

Faceit stats

Combat

6Matches
17%Win rate
0.57Avg K/D
62.5ADR
32%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.5210.5
Dust2250%0.538.5
Inferno20%0.6413.0

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.

14.3%Headshot accuracy
23.5%Accuracy (enemy spotted)
23.3%Spray accuracy
45.7%Counter-strafing
11.5°Preaim
673msReaction time
10.8%T opening success
34.3%CT opening success
0.56Enemies flashed / flash
2.8%Flash assists
6.59HE damage / grenade
4.49Flashes / 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.

  1. 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 14.3043% — below the 15% mark we flag

    Aim Training →
  2. 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 10.8464% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis2–7-0.050%22 Jul →
dust20–3-0.060%15 Jul →
cache13–50.0615%15 Jul →
inferno10–13-0.0419%11 Jul →
nuke5–13-0.0515%11 Jul →
dust24–13-0.1412%11 Jul →
mirage7–13-0.100%11 Jul →
inferno13–9-0.037%11 Jul →
dust213–6-0.0121%10 Jul →
mirage13–7-0.0821%10 Jul →
inferno13–8-0.106%4 Jul →
dust213–8-0.0314%4 Jul →
mirage13–3-0.0436%25 May →
dust27–13-0.1225%25 May →
mirage0–13-0.0816%24 May →
cache13–80.0012%20 May →
inferno11–13-0.0315%20 May →
dust212–12-0.059%20 May →
nuke8–13-0.0427%19 Apr →
inferno11–13-0.075%19 Apr →
nuke13–6-0.0913%19 Apr →
dust213–9-0.0427%19 Apr →
dust211–13-0.0518%11 Mar →
mirage10–13-0.076%11 Mar →
inferno13–11-0.0715%8 Mar →
nuke3–13-0.077%8 Mar →
dust210–13-0.0621%8 Mar →
ancient3–13-0.087%8 Mar →
ancient10–13-0.0712%24 Feb →
inferno11–13-0.109%24 Feb →
mirage7–13-0.0312%24 Feb →
dust24–13-0.0625%24 Feb →
nuke6–13-0.0821%24 Feb →
dust211–13-0.0713%26 Jan →
inferno10–13-0.0712%26 Jan →
mirage13–5-0.047%24 Jan →
nuke13–10-0.0510%23 Jan →
mirage6–13-0.0816%23 Jan →
dust28–130.0115%23 Jan →
inferno13–11-0.0613%23 Jan →
train10–13-0.069%8 Jan →
dust211–13-0.0414%8 Dec →
dust213–10-0.1014%20 Nov →
train4–130.0115%20 Nov →
mirage12–12-0.0114%20 Nov →
inferno8–13-0.078%30 Oct →
dust22–13-0.0416%30 Oct →
mirage8–13-0.068%30 Oct →
inferno11–13-0.093%30 Oct →
dust24–13-0.0117%30 Oct →
train13–10-0.0516%28 Oct →
mirage13–00.0118%23 Oct →
mirage12–12-0.0615%23 Oct →
inferno14–16-0.042%20 Oct →
dust213–10-0.0710%20 Oct →
mirage13–2-0.025%18 Oct →
nuke9–13-0.028%18 Oct →
inferno9–13-0.0820%18 Oct →
train7–13-0.089%18 Oct →
ancient9–13-0.104%18 Oct →
nuke10–130.027%18 Oct →
mirage10–13-0.0817%18 Oct →
dust211–13-0.0015%18 Oct →
mirage12–12-0.0810%4 Oct →
ancient11–13-0.079%4 Oct →
inferno16–14-0.0818%4 Oct →
dust212–12-0.0814%16 Jul →
vertigo8–13-0.0614%10 Jun →
dust24–13-0.0711%10 Jun →
overpass13–7-0.0513%13 May →
dust212–12-0.0214%22 Dec →
mirage10–13-0.0816%22 Dec →
inferno13–8-0.0224%10 Nov →
overpass11–13-0.1110%10 Nov →
dust28–13-0.0621%27 Oct →
nuke8–13-0.099%27 Oct →
nuke4–13-0.1114%15 Oct →
vertigo13–11-0.0618%29 Sept →
nuke4–13-0.1810%19 Sept →
overpass1–13-0.1317%4 Sept →
inferno13–6-0.0617%3 Sept →
overpass13–8-0.0722%3 Sept →
nuke13–7-0.059%3 Sept →
inferno1–13-0.0414%2 Sept →
dust213–40.0220%1 Sept →
vertigo10–13-0.0712%1 Sept →
nuke8–13-0.038%31 Aug →
inferno4–13-0.0618%31 Aug →
mirage13–5-0.0118%31 Aug →
inferno13–6-0.0717%31 Aug →
vertigo9–13-0.1019%31 Aug →
inferno9–13-0.0821%31 Aug →
ancient8–13-0.0624%31 Aug →
mirage11–13-0.0624%31 Aug →
mirage12–12-0.078%28 Aug →
dust213–6-0.0513%28 Aug →
nuke0–13-0.060%26 Aug →
dust28–13-0.0718%26 Aug →
mirage12–12-0.0913%18 Aug →
nuke13–9-0.0710%18 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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